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Relevant bibliographies by topics / Infrastructure Engineering and Asset Management

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Academic literature on the topic 'Infrastructure Engineering and Asset Management'

Author: Grafiati

Published: 4 June 2021

Last updated: 19 February 2023

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Journal articles on the topic "Infrastructure Engineering and Asset Management"

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Stratford, D., T. Stevens, M. Hamilton, and A. Dray. "Strategic asset management modelling of infrastructure assets." Proceedings of the Institution of Civil Engineers - Engineering and Computational Mechanics 163, no. 2 (June 2010): 111–22. http://dx.doi.org/10.1680/eacm.2010.163.2.111.

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OZAWA, Kazumasa. "Asset Management for Infrastructure." Journal of The Institute of Electrical Engineers of Japan 130, no. 2 (2010): 72–75. http://dx.doi.org/10.1541/ieejjournal.130.72.

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Pathirana, Assela, Frank den Heijer, and Paul B. Sayers. "Water Infrastructure Asset Management Is Evolving." Infrastructures 6, no. 6 (June 18, 2021): 90. http://dx.doi.org/10.3390/infrastructures6060090.

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Infrastructure Asset Management (IAM) is the process by which decisions are made and resources allocated to ensure organisational or societal assets continue to deliver, as required. IAM is an evolving field. We discuss this evolution and present our perspectives on the future direction of IAM. IAM was born as a response to the poor state of maintenance of infrastructure, largely due to lack of resources, and emphasizes the need to prioritize maintenance and renewal using risk-based approaches. The demands on IAM have also continued to evolve as asset systems have become more complex, with multifunctionality, adaptative capacity and nature-based infrastructure, all issues that IAM must now consider. These challenges underpin the changing context of Water Infrastructure Asset Management (WIAM) and the opportunity for WIAM to harness new technical developments from other IAM domains. WIAM will need to continue to evolve, responding to these challenges and take advantage of these opportunities through research and application in collaboration with a relevant education and capacity development agenda.

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Lim, Taehoon, Juan Diego Porras-Alvarado, and Zhanmin Zhang. "Pricing of highway infrastructure for transportation asset management." Built Environment Project and Asset Management 9, no. 1 (March 4, 2019): 64–79. http://dx.doi.org/10.1108/bepam-05-2018-0083.

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Purpose The purpose of this paper is to present a methodology for estimating the “price,” or the not-to-loss value, of individual highway assets, which reflects not only the assets’ capital value but also economic productivity, by adopting a productivity-based asset valuation framework. The price tags can be used in prioritizing highway assets in support of transportation asset management processes. Design/methodology/approach The methodology adopts the utility theory to consider multiple performance measures reflecting the economic productivity generated by the assets, as well as their capital value. Key performance measures are first selected, and their values are retrieved from highway asset management databases. Next, the utility functions representing decision makers’ preferences convert the performance measures into utility values, which adjust the replacement cost (RC) of each highway asset to estimate price tags. To demonstrate its applicability, case studies were conducted for the highway networks of Texas and Washington State in the USA. Findings The methodology yielded price tags that better reflect the importance of highways’ roles in the economy in comparison to methods where only RCs are used. Furthermore, it was proven to be flexible enough to accommodate local conditions such as varying data availability. Originality/value The research provides a practical and reasonable way to prioritize critical highway assets in purport of maintenance and rehabilitation resource allocations, based on their economic productivity as well as physical condition and historical cost information, enhancing the overall efficiency and effectiveness of highway asset management.

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Glendinning, S., J. Hall, and L. Manning. "Asset-management strategies for infrastructure embankments." Proceedings of the Institution of Civil Engineers - Engineering Sustainability 162, no. 2 (June 2009): 111–20. http://dx.doi.org/10.1680/ensu.2009.162.2.111.

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Lee, Sang-Youb, Seung-Keun Chung, and Jung-Keun Oh. "Demand forecasting based infrastructure asset management." KSCE Journal of Civil Engineering 8, no. 2 (March 2004): 165–72. http://dx.doi.org/10.1007/bf02829116.

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Sanford Bernhardt, Kristen L., J. Erik Loehr, and Daniel Huaco. "Asset Management Framework for Geotechnical Infrastructure." Journal of Infrastructure Systems 9, no. 3 (September 2003): 107–16. http://dx.doi.org/10.1061/(asce)1076-0342(2003)9:3(107).

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Turbaningsih, Oktaviani, and Ulfa Mutaharah. "The Adaptive Engineering Asset Management Framework for Sustainable Gas Terminal Infrastructures." IOP Conference Series: Earth and Environmental Science 1081, no. 1 (September 1, 2022): 012012. http://dx.doi.org/10.1088/1755-1315/1081/1/012012.

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Abstract The global initiative for decarbonisation keeps growing at a different rate for each country. The global decarbonisation rate, which presents the carbon intensity reduction or energy-related CO2 emissions per dollar GDP, reached 2.5% in 2020. Indonesia recorded contributing as the second-highest rate of emissions reduction in the global decarbonisation rate during 2019-2020 with a total of 10.6% less carbon intensity. Solid infrastructure asset management shall significantly improve to support the further decarbonisation movement. As one of the cleanest carbon energy, LNG could be the fastest solution to keeping the initiative. Unfortunately, it has a drawback: methane produces higher Green House gases (GHG) than CO2. Furthermore, LNG acts as a transition fuel while the global industry prepares for renewable energy resources. The authors propose Adaptive Port Planning (APP) and Engineering Asset Management (EAM) framework for managing the existing LNG infrastructure terminal assets in this study. The EAM combines a multidisciplinary approach to provide a framework for effectively managing all engineered physical assets within the organisation. In contrast, the APP will give the idea to count the uncertainty in infrastructure demand, allowing flexibility in planning. The author overviews the conversion or transition pathway for existing terminal gas infrastructure to support future renewable energy resources such as hydrogen and ammonia. The Adaptive EAM will guide the sustainable business mindset and provide cost-effective decarbonising solutions.

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Šelih, Jana, Anžej Kne, Aleksander Srdić, and Marjan Žura. "MULTIPLE‐CRITERIA DECISION SUPPORT SYSTEM IN HIGHWAY INFRASTRUCTURE MANAGEMENT." TRANSPORT 23, no. 4 (December 31, 2008): 299–305. http://dx.doi.org/10.3846/1648-4142.2008.23.299-305.

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Highway infrastructure represents a significant part of the public assets, and through its lifetime, is exposed to various deterioration processes leading to the depreciation of its value. It is therefore of vital importance to manage these assets aiming to reduce the loss of their value with time to a minimum. A typical task of road managers is making decisions related to maintenance, repair and rehabilitation based on data regarding the existing condition, risk of its use, life cycle costs and age. Road infrastructure is complex, and therefore the optimal choice of planned interventions is a delicate task often left to the road managers’ subjective judgment. The main goal of research work presented in the paper is the development of a multiple criteria decision support system to determine the priority ranking of asset rehabilitation projects. Results are presented for a selected case study that consists of 27 overpasses for a highway section. The data on the condition of crossovers obtained by regular inspection along their contribution to a structured database are essential. The selection of the set of asset rehabilitation projects is carried out by using the developed decision support system that includes the budget constraint option. The selected set of asset maintenance/rehabilitation projects meets best the pre‐defined combination of several criteria and therefore yields the maximized overall benefit. The results showing the selection criteria employed in the decision process and relative importance are crucial in obtaining the targeted goals. The selected criteria should therefore reflect the needs of the users and the actual conditions related to the assets.

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Yokota, Hiroshi, Kohei Nagai, Koji Matsumoto, and Yi Yi Mon. "Prospect for Implementation of Road Infrastructure Asset Management." Advanced Engineering Forum 21 (March 2017): 366–71. http://dx.doi.org/10.4028/www.scientific.net/aef.21.366.

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Infrastructure has to be adequately planned, designed, executed and maintained to keep its structural performance over respective requirements throughout its life-cycle. However, infrastructure suffering from serious deterioration in structural members and subsequent loss in performance have been often found due to various reasons. To meet these facts, it is extremely important to pursue coordination of engineering work in the stages of design, execution and maintenance. The infrastructure management including the concepts of the life-cycle management and the asset management is an organized system to support engineering-based decision making for ensuring sufficient structural performance and long life of a structure at the design, execution, maintenance, and all related work during its life-cycle. This paper deals with infrastructure management system and an example of its application for a road bridge from seriously deteriorated.

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Dissertations / Theses on the topic "Infrastructure Engineering and Asset Management"

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von, Holdt Christopher James. "Development of infrastructure asset management software solutions for municipalities in South Africa." [College Station, Tex. : Texas A&M University, 2006. http://hdl.handle.net/1969.1/ETD-TAMU-1695.

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Friedrichs, Kevin D. "Asset management for Kansas counties : the state of practice /." Diss., Kansas State University, 2007. http://krex.ksu.edu/dspace/bitstream/2097/480/1/KevinFriedrichs2007.pdf.

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Ardalan, Airin, and Elin Stopner. "Effective Real Estate and Infrastructure Asset Management in complex environments : A case study of an airport corporation." Thesis, KTH, Fastigheter och byggande, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-211207.

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Purpose: The aim is to develop a conceptual model that improves the effectiveness of asset management for an airport corporation with high pace development, with reference to critical factors such as government demands, ISO 5500X standards and key performance indicators. Background: During the past 20 years, airports have gone from a public sector operation to being privatized or a combination of the two. This often implies that airport corporations have to finance their own expansions, which is one reason why their real estate and infrastructure assets must be seen and managed as valuable assets and not only as support for the business. However, such management is unfortunately not established in many of the large corporations today. Methodology/approach: The thesis utilizes a case study with a qualitative approach to analyse primary data in terms of results from interviews conducted with employees working in the corporation subject to the case study. The case study examines the current structure of a complex airport corporation in order to find areas that could potentially benefit from higher effectiveness. Secondary data in form of existing literature, including reports as well as scientific articles has also been used. Findings: The study argues that complex organizations and corporations could potentially benefit from implementing an asset management model. By successfully incorporating a strategic approach with tactical actions, challenges such as defining roles and responsibilities could be overcome and synergy effects captured, resulting in an overall higher performance and more effective asset management. Practical implications: The thesis clearly argues for the need of corporations in the public sector to adopt a private sector governance approach regarding asset management to satisfy government demands and ensure the interests of shareholders. The thesis provides another perspective on how companies in the public sector can make their asset management more effective by a wider utilization of management-tools, frequently used in the private sector to generate higher profitability. Suggestions for further research: It would be interesting to conduct a quantitative investigation after implementation of suggested changes in order to highlight the outcomes. This is a descriptive and conceptual thesis, why future empirical research should be conducted in order to validate the propositions made in this thesis further.
Syfte: Syftet med uppsatsen är att skapa en modell som kan bidra till att öka effektiviteten i tillgångsförvaltningen på ett flygplatsbolag med hög utvecklingstakt, med hänsyn till kritiska faktorer som myndighetskrav, ISO5500X-standarder och nyckeltal. Problembakgrund: Under de senaste 20 åren har det blivit allt vanligare att flygplatsverksamhet privatiserats till följd av bolagiseringen av statliga verk och myndigheter. Därmed ställs det högre krav på bolagen att finansiera sin egen expansion, vilket i sin tur betyder att tillgångarna måste betraktas och hanteras som värdefulla tillgångar och inte enbart som stöd för verksamheten. I många fall saknas idag en sådan förvaltning. Metod/tillvägagångssätt: Uppsatsen utgår ifrån en kvalitativ fallstudie som analyserar primär data i form av resultatet från intervjuer med anställda som arbetar på företaget som valts ut för fallstudien. Sekundär data i form av litteratur, inklusive tidigare rapporter och vetenskapliga artiklar, har använts som stöd för empirin. Slutsatser: Studien argumenterar för att organisationer och företag som hanterar komplexa tillgångar kan komma att dra nytta av att implementera en modell för tillgångsförvaltning. Genom att på ett framgångsrikt sätt förena en strategisk angreppssätt med taktiska aktiviteter kan utmaningar i form av ansvars- och rollfördelning överkommas och synergieffekter erhållas, som överlag resulterar i högre prestation och mer effektiv tillgångsförvaltning. Praktiska följder: Examenarbetet argumenterar tydligt för behovet för statligt ägda bolag att tillämpa ett mer privatiserat tillvägagångssätt gällande tillgångsförvaltning för att tillfredsställa statliga krav och se till aktieägarnas intressen. Uppsatsen ger ett alternativt perspektiv på hur statligt ägda företag kan göra sin tillgångsförvaltning mer effektiv genom en bredare användning av förvaltningsverktyg som används frekvent i den privata sektorn och som genererar högre lönsamhet. Förslag till vidare forskning: Det vore intressant att genomföra en kvantitativ undersökning efter att de föreslagna förändringarna implementerats för att se vilka utfall dessa resulterat i. Examensarbetet är av berättande och konceptuell natur, varför framtida empirisk forskning bör utföras i syfte att validera påståenden som framförs i uppsatsen ytterligare.

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Thorpe, David Stuart. "A process for the management of physical infrastructure." Thesis, Queensland University of Technology, 1998. https://eprints.qut.edu.au/36067/7/36067_Digitsed_Thesis.pdf.

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Physical infrastructure assets are important components of our society and our economy. They are usually designed to last for many years, are expected to be heavily used during their lifetime, carry considerable load, and are exposed to the natural environment. They are also normally major structures, and therefore present a heavy investment, requiring constant management over their life cycle to ensure that they perform as required by their owners and users. Given a complex and varied infrastructure life cycle, constraints on available resources, and continuing requirements for effectiveness and efficiency, good management of infrastructure is important. While there is often no one best management approach, the choice of options is improved by better identification and analysis of the issues, by the ability to prioritise objectives, and by a scientific approach to the analysis process. The abilities to better understand the effect of inputs in the infrastructure life cycle on results, to minimise uncertainty, and to better evaluate the effect of decisions in a complex environment, are important in allocating scarce resources and making sound decisions. Through the development of an infrastructure management modelling and analysis methodology, this thesis provides a process that assists the infrastructure manager in the analysis, prioritisation and decision making process. This is achieved through the use of practical, relatively simple tools, integrated in a modular flexible framework that aims to provide an understanding of the interactions and issues in the infrastructure management process. The methodology uses a combination of flowcharting and analysis techniques. It first charts the infrastructure management process and its underlying infrastructure life cycle through the time interaction diagram, a graphical flowcharting methodology that is an extension of methodologies for modelling data flows in information systems. This process divides the infrastructure management process over time into self contained modules that are based on a particular set of activities, the information flows between which are defined by the interfaces and relationships between them. The modular approach also permits more detailed analysis, or aggregation, as the case may be. It also forms the basis of ext~nding the infrastructure modelling and analysis process to infrastructure networks, through using individual infrastructure assets and their related projects as the basis of the network analysis process. It is recognised that the infrastructure manager is required to meet, and balance, a number of different objectives, and therefore a number of high level outcome goals for the infrastructure management process have been developed, based on common purpose or measurement scales. These goals form the basis of classifYing the larger set of multiple objectives for analysis purposes. A two stage approach that rationalises then weights objectives, using a paired comparison process, ensures that the objectives required to be met are both kept to the minimum number required and are fairly weighted. Qualitative variables are incorporated into the weighting and scoring process, utility functions being proposed where there is risk, or a trade-off situation applies. Variability is considered important in the infrastructure life cycle, the approach used being based on analytical principles but incorporating randomness in variables where required. The modular design of the process permits alternative processes to be used within particular modules, if this is considered a more appropriate way of analysis, provided boundary conditions and requirements for linkages to other modules, are met. Development and use of the methodology has highlighted a number of infrastructure life cycle issues, including data and information aspects, and consequences of change over the life cycle, as well as variability and the other matters discussed above. It has also highlighted the requirement to use judgment where required, and for organisations that own and manage infrastructure to retain intellectual knowledge regarding that infrastructure. It is considered that the methodology discussed in this thesis, which to the author's knowledge has not been developed elsewhere, may be used for the analysis of alternatives, planning, prioritisation of a number of projects, and identification of the principal issues in the infrastructure life cycle.

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Svenson, Kristin. "A Microdata Analysis Approach to Transport Infrastructure Maintenance." Doctoral thesis, Högskolan Dalarna, Mikrodataanalys, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:du-23576.

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Maintenance of transport infrastructure assets is widely advocated as the key in minimizing current and future costs of the transportation network. While effective maintenance decisions are often a result of engineering skills and practical knowledge, efficient decisions must also account for the net result over an asset's life-cycle. One essential aspect in the long term perspective of transport infrastructure maintenance is to proactively estimate maintenance needs. In dealing with immediate maintenance actions, support tools that can prioritize potential maintenance candidates are important to obtain an efficient maintenance strategy. This dissertation consists of five individual research papers presenting a microdata analysis approach to transport infrastructure maintenance. Microdata analysis is a multidisciplinary field in which large quantities of data is collected, analyzed, and interpreted to improve decision-making. Increased access to transport infrastructure data enables a deeper understanding of causal effects and a possibility to make predictions of future outcomes. The microdata analysis approach covers the complete process from data collection to actual decisions and is therefore well suited for the task of improving efficiency in transport infrastructure maintenance. Statistical modeling was the selected analysis method in this dissertation and provided solutions to the different problems presented in each of the five papers. In Paper I, a time-to-event model was used to estimate remaining road pavement lifetimes in Sweden. In Paper II, an extension of the model in Paper I assessed the impact of latent variables on road lifetimes; displaying the sections in a road network that are weaker due to e.g. subsoil conditions or undetected heavy traffic. The study in Paper III incorporated a probabilistic parametric distribution as a representation of road lifetimes into an equation for the marginal cost of road wear. Differentiated road wear marginal costs for heavy and light vehicles are an important information basis for decisions regarding vehicle miles traveled (VMT) taxation policies. In Paper IV, a distribution based clustering method was used to distinguish between road segments that are deteriorating and road segments that have a stationary road condition. Within railway networks, temporary speed restrictions are often imposed because of maintenance and must be addressed in order to keep punctuality. The study in Paper V evaluated the empirical effect on running time of speed restrictions on a Norwegian railway line using a generalized linear mixed model.

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Ameziane, Said. "A resilience engineering approach to safety excellence in the maintenance of oil and gas assets." Thesis, Robert Gordon University, 2016. http://hdl.handle.net/10059/1565.

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The established approach to safety management has failed to handle socio-technical systems that have become more complex. The main argument is this approach is based on assumptions that systems are protected against accidents by barriers (well-trained people, redundant mechanisms and safety devices, and procedures and safe systems of work). Complex systems, such as maintenance, are actually labour intensive; maintenance staff often works under pressure to finish tasks as rapidly as possible. They continuously adapt and make adjustments using available resources, time, knowledge, and competence to achieve success. Thus, they are accidents prone. Human factors inherent to maintenance accidents are most times difficult to identify. Research in this area in the oil and gas industry in maintenance management is limited in comparison to the aviation and nuclear sectors. Therefore, it has been suggested to overcome this lack by exploring the maintenance system and identifying appropriate methods and tools that lead a system to safety excellence. Resilience engineering (RE) approach has been found the suitable solution. Moreover, four system abilities (cornerstones of RE: ability to respond, to monitor, to anticipate, and to learn) have been identified to characterise the resilience of a system; if these abilities are known and increased, it will make the system As High Resilient As Possible (AHRAP). However, there is a need to bridge between RE theory and practice. Particularly, a tool that measures these abilities lacks in the oil and gas industry, specifically within the maintenance system. In doing so, a framework based on a Gap Analysis (GA) was outlined. A tool, the MAintenance System Resilience Assessment Tool- MASRAT, was developed to assess current system resilience and identify strategies for improvement to achieve safety excellence. The maintenance system of SONATRACH was explored by the analysis of the system documentation and processes, interviews with maintenance staff, questionnaires, field observations, storytelling, and functional analysis. MASRAT has been validated by means of congruency and principal components analysis, PCA (content validity), and Cronbach’s alpha (reliability). An expert panel testing was carried out to test its usability. The exploration of the system came up with a snapshot of daily activities as well as a better understanding of the maintenance system. The study identified the most significant human factors (resources, time pressure, and supervision/coordination) and their probable impact on plant safety. The elements of the system were found tightly coupled, hence the system complex. Stories describing the continuous adaptations of people to achieve assigned objectives were collected. On the other hand, MASRAT was validated. All items were rated above 0.75 in congruency test. The results of PCA for the three selected factors confirmed the items may be clustered after extraction into four components which interpretation represents the four cornerstones of RE. The analysis showed MASRAT is reproducible. Cronbach’s alpha results were found higher than what is required (0.7). MASRAT was found usable by maintenance expert panel. It was used to measure the maintenance department resilience. Strategies that may lead the system from current maturity level to excellence were identified. Eventually, recommendations were made to management to be implemented both at corporate and department levels. For the first time, the maintenance department resilience of petroleum assets was measured to fill in the gap between RE theory and practice. Besides, this can be of benefit to the petroleum industry by a better knowledge of the maintenance working environment and human factors impact on safety and by profiles determination and improvement strategies identification.

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Blom, Carron Margaret. "Strategic intent and the management of infrastructure systems." Thesis, University of Cambridge, 2017. https://www.repository.cam.ac.uk/handle/1810/268224.

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Infrastructure is presenting significant national and global challenges. Whilst often seen as performing well, infrastructure tends to do so against only limited terms of reference and short-term objectives. Given that the world is facing a new infrastructure bill of ~£40T, improving the benefits delivered by existing infrastructure is vital (Dobbs et al., 2013). This thesis investigates strategic intent and the management of infrastructure systems; how factors such as organisational structure and business practice affect outcomes and the ways in which those systems — not projects — are managed. To date, performance has largely been approached from the perspective of project investment and/or delivery, or the assessment of latent failures arising from specific shocks or disruptive events (e.g. natural disaster, infrastructure failures, climate change). By contrast, the delivery of system-level services and outcomes across the infrastructure system has been rarely examined. This is where infrastructure forms an enduring system of services, assets, projects, and networks each at different stages of their lifecycle, and affecting one another as they develop, then age. Yet system performance, which also includes societal, organisational, administrative and technical factors, is arguably the level relevant to, and the reality of, day-to-day public infrastructure management. This research firstly investigated industry perceptions in order to test and confirm the problem: the nub of which was the inability to fully deliver appropriate and relevant infrastructure outcomes over the long term. Three detailed studies then explored the reasons for this problem through different lenses; thereby providing an evidence-base for a range of issues that are shared by the wider infrastructure industry. In confirming its hypothesis that “the strategic intent and the day-to-day management of infrastructure systems are often misaligned, with negative consequences for achieving the desired long-term infrastructure system outcomes”, this research has increased our understanding of the ways in which that misalignment occurs, and the consequences that result. It found those consequences were material, and frequently not visible within the sub-system accountable for the delivery of those outcomes. That public infrastructure exists, not in its own right, but to be of benefit to society, is a central theme drawn from the definition of infrastructure itself. This research shows that it is not enough to be focused on technical outcomes. Infrastructure needs to move beyond how society interacts with an asset, to the outcomes that reflect the needs, beliefs, and choices of society as well as its ability to respond to change (aptitude). Although the research has confirmed its hypothesis and three supporting propositions, the research does not purport to offer ‘the solution’. Single solutions do not exist to address the challenges facing a complex adaptive system such as infrastructure. But the research does offer several system-oriented sense-making models at both the detailed and system-level. This includes the probing methodology by way of a diagnostic roadmap. These models aim to assist practitioners in managing the transition of projects, assets, and services into a wider infrastructure system, their potential, and in (re)orienting the organisation to the dynamic nature of the system and its societal imperative.

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Mårtensson, Emil, and Philip Rumman. "Asset management in the utility sector : The challenges of breaching the gap between current practice and best practice." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264206.

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Vital societal functions are upheld by public infrastructure. For some time, normative theories describing asset management have disseminated in research and in business. Public infrastructure companies are increasingly required to adhere to management standards under regulatory pressure, however, the research area is in need of more empirical contributions on which challenges companies face when implementing management systems standards in their organization. For asset management systems and the ISO 55000 series in particular, the empirical data is lacking. This thesis addresses the challenges public utility companies face when implementing asset management principles. A qualitative case study was conducted during a five-month period at Sweden's largest water utility company, Stockholm Vatten och Avfall AB (SVOA). Fourteen interviews were conducted and compared with company documents to provide triangulation. The findings suggest that the main challenges a public utility company has to overcome to implement an asset management model are: 1) Lack of strategic and long-term planning responsibility. 2) Unclear division of asset responsibilities. 3) Lack of top management commitment towards asset management systems. 4) No standardized risk management. 5) Lack of information sharing between departments. The implications of this study are twofold: In a practical sense the thesis argues for top management of public infrastructure firms to commit to principles of asset management theory, provide a clear division of asset responsibility, introduce systematic risk management principles and policies, as well as promote cross-divisional exchanges of experiences. Academically, this investigation contributes to the literature by providing a better understanding of the ISO 55000 series, and the implementation process of standards similar to it, in the context of companies managed by the public sector.
Kritiska samhällsfunktioner möjliggörs av offentlig infrastruktur. Sen ett antal år tillbaka finns flertalet normativa teorier publicerade som beskriver hur tillgångshantering (asset management) ska gå till. Under krav från lagstiftning och tillsynsmyndigheter måste offentliga verksamheter i allt högre grad införa standardiserande arbetssätt. Det finns en brist på forskning kring utmaningarna att bygga upp och införa ledningssystem i verksamheten. Särskilt ledningssystem för tillgångshantering som till exempel ISO 55000 saknar empiriska data. Detta examensarbete behandlar de utmaningar offentliga infrastrukturbolag står inför för att implementera tillgångshanteringsprinciper. En kvalitativ fallstudie gjordes över fem månader på Sverige största leverantör av vattentjänster, Stockholm Vatten och Avfall AB (SVOA). Totalt fjorton intervjuer gjordes och jämfördes mot interna företagsdokument för att uppnå triangulering. Resultaten pekar på att de största utmaningarna ett offentligt infrastrukturbolag måste övervinna är: 1) Brist på strategisk och långtidsplanering. 2) Otydlig fördelning av tillgångsansvar. 3) Brist på ledningsengagemang för tillgångshanteringssystem. 4) Avsaknad av standardiserad riskhantering. 5) Brist på informationsutbyte. Konsekvenserna av examensarbetet är tvåfaldig: På ett praktiskt plan argumenterar examensarbetet för att ledningen av offentliga infrastrukturbolag bör förpliktiga sig åt tillgångshanteringsprinciper. De bör även införa en tydlig uppdelning av tillgångsansvar, introducera standardiserade riskhanteringsmodeller och policy, samt bidra till tvärfunktionella erfarenhetsutbyten. På ett akademiskt plan bidrar examensarbetet till att utöka förståelsen för ISO 55000 standarden och implementeringsprocessen för liknande standarder i kontexten av offentligt styrda företag.

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Too, Eric Gun Sim. "Capabilities for strategic infrastructure asset management." Thesis, Queensland University of Technology, 2009. https://eprints.qut.edu.au/33248/1/Eric_Too_Thesis.pdf.

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Infrastructure organisations are operating in an increasingly challenging business environment as a result of globalisation, privatisation and deregulation. Under such circumstances, asset managers need to manage their infrastructure assets effectively in order to contribute to the overall performance of their organisation. In an external business environment that is constantly changing, extant literature on strategic management advocates a resourced--�]based view (RBV) approach that focuses on factors internal to the organisation such as resources and capabilities to sustain organisation performance. The aim of this study is to explore the core capabilities needed in the management of infrastructure assets. Using a multiple case study research strategy focusing on transport infrastructure, this research firstly examines the goals of infrastructure asset management and their alignment with broader corporate goals of an infrastructure organisation. It then examines the strategic infrastructure asset management processes that are needed to achieve these goals. The core capabilities that can support the strategic infrastructure asset management processes are then identified. This research produced a number of findings. First, it provided empirical evidence that asset management goals are being pursued with the aim of supporting the broader business goals of infrastructure organisations. Second, through synthesising the key asset management processes deemed necessary to achieve the asset management goals, a strategic infrastructure asset management model is proposed. Third, it identified five core capabilities namely stakeholder connectivity, cross-functional, relational, technology absorptive and integrated information management capability as central to executing the strategic infrastructure asset management processes well. These findings culminate in the development of a capability model to improve the performance of infrastructure assets.

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Ward, Ben. "Integrated asset management systems for water infrastructure." Thesis, University of Exeter, 2015. http://hdl.handle.net/10871/18819.

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Owners of infrastructure assets have responsibility for the management of a diverse portfolio of civil engineering assets. These assets make up the foundations of modern society and are arguably pivotal in the economic growth and wellbeing of a nation. It is of no surprise therefore, that asset management business practises have risen in popularity as the UK’s infrastructure asset base continues to grow and inevitably ages with time. In the context of water and waste water infrastructure assets, which communities rely upon for health, economy and environmental sustainability, it is widely acknowledged that these assets have historically suffered from underinvestment. Whilst funding shortfalls have been evidenced historically, through the inadequacy of infrastructure to meet the needs and challenges of the past, it is of great concern that infrastructure expenditure is reducing in real terms as a result of the global financial crisis. This is leading to a widening funding gap between the available and the required finances for infrastructure investment which is further compounded by natural phenomena and human behaviours, i.e., climate change, population growth and urbanisation. To further intensify the problem, asset planning and management in the water industry is considered a complex and challenging discipline because of high interdependencies and the vast quantity of assets themselves. In acknowledgement of this global position, this thesis seeks to address some of the key challenges faced by utility companies in the adoption of asset management best practice across water and waste water assets, namely: • Operational decision making - the efficient and effective specification of least-cost rehabilitation programmes from condition information that ensure behavioural alignment with an organisations strategic objectives. • Tactical decision making - achieving risk based asset level inspection prioritisation that considers serviceability performance, for two particularly challenging asset groups: i.) High value - low volume assets and ii). Low value - high volume buried infrastructure. • Strategic decision making - identifying optimal long-term investment plans and asset management policies for assets that have previously not benefited from such technological advancements. To improve upon operational decision making, the author capitalises on the availability of condition inspection information for buried sewerage infrastructure by applying advanced optimisation techniques to help form an environment where the decision makers is presented with an array of optimal rehabilitation solutions. The trade-off curve that is presented uniquely evaluates solutions for the benefits they offer in-terms of: condition improvement, cost and operational performance. A financially favourable comparison (up to 45% saving) is drawn between the optimisation results which are automatically generated by the model and those that have been developed manually by experienced engineers in a ‘real world’ case study. However, it could be argued that the greatest benefit arises from the trade curve of feasible solutions which are presented to the decision maker across a range of investment levels. In recognition that tactical and strategic decision making have been the focus of a substantial amount of research for commonly found infrastructure assets, i.e., public sewers and water mains, a focus has been placed on improving upon and adopting best practise across infrastructure assets which have not previously benefited from the technological developments across these decision making levels. Firstly, a methodology for translating standardised condition inspection information into more meaningful reliability scores, to support risk based planning and decision making, is presented for service reservoirs. A service reservoir can be regarded as high value- low volume infrastructure asset and would typically have its condition evaluated between 1 (poor) to 5 (good). A case study demonstrates how this new reliability scoring mechanism has been successfully applied during a typical structural condition survey. The output from this process is a fully document reliability assessment for each component of the service reservoir. The output can be aggregated to provide an overall reliability assessment for the structure and/or used to target specific remedial works to troublesome components. Secondly, two methodologies are presented which address the fact that high volume – low value infrastructure assets across both the water distribution and wastewater collection networks, are typically less well understood and often sub-optimally managed in comparison to more critical or higher value assets. 1. A methodology has been developed to help UK water companies overcome the recent legislative changes associated with Section105A of the Water Act; which has transferred ownership of the private sewer network to UK water companies. The new methodology which has been developed, has allowed one of the UK’s water and sewerage companies to initiate a proactive asset management programme with the aim of addressing the deteriorating condition of these assets whilst also tackling their associated serviceability performance. Initially, a number of GIS tools are used to provide an estimate of the likely extent of the transferred network before a well-established public sewer deterioration model is used to predict the condition and operational performance of these S105A assets over time. 2. A novel deterioration modelling framework is developed by coupling the latest geospatial technologies with statistical deterioration modelling techniques. The modelling framework is specifically applied to small diameter water distribution assets (25-50mm diameter), known as communication pipes, which connect individual properties to the water distribution mains. Reliability curves are developed from failure data provided by two UK based Water Companies that have captured specific communication pipe failure records since 2001. The deterioration modelling curves and supporting data are compared and contrasted to demonstrate the robustness of this modelling approach, which is shown to be capable of modelling failure rates to a high degree of accuracy. This was validated by comparing the predicted number of failures against three years of failure data not used during the model building process. The yearly failure counts were predicted to within +/-5% accuracy and the overall cumulative modelled failure count at the end of 2014 was predicted within 1%. To conclude, the successful deterioration modelling tools for communication pipes are explored further, via the development of a strategic whole life cost optimisation framework for these assets. The outputs from the previous geospatial mapping tool are used alongside the calibrated Weibull deterioration curves to drive a whole life cost and performance analysis. Against this improved understanding of whole life costs, an optimisation algorithm is used to evaluate the trade-off between whole life costs (totex) and the prevention of future asset failures (serviceability). The model successfully identifies optimised investment policies according to the decision maker’s priorities which is evidenced in a case study that shows outperformance against existing maintenance policies for these assets. Financial savings in the region of £8.5M, or the prevention of 1,320 asset failures, were shown to be possible over a 25 years planning horizon in the case study. For the avoidance of confusion, the term ‘integrated’ is considered from the perspective of the three decision making levels associated with the management of an asset, namely: strategic, tactical and operational decision making. Therefore, data quality improvements and the management of information transactions between decisional levels are inherently considered within all of the methodologies developed in this thesis.

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Books on the topic "Infrastructure Engineering and Asset Management"

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Mathew, Joseph, Lin Ma, Andy Tan, Margot Weijnen, and Jay Lee, eds. Engineering Asset Management and Infrastructure Sustainability. London: Springer London, 2012. http://dx.doi.org/10.1007/978-0-85729-493-7.

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Haider, Abrar. Information Systems for Engineering and Infrastructure Asset Management. Wiesbaden: Gabler Verlag, 2013. http://dx.doi.org/10.1007/978-3-8349-4234-0.

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Mathew, Joseph. Engineering Asset Management and Infrastructure Sustainability: Proceedings of the 5th World Congress on Engineering Asset Management (WCEAM 2010). London: Springer London, 2012.

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Balzer, Gerd. Asset Management fu r Infrastrukturanlagen: Energie und Wasser. Berlin: Springer, 2011.

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Office, General Accounting. Water infrastructure: Comprehensive asset management has potential to help utilities better identify needs and plan future investments : report to the Ranking Minority Member, Committee on Environment and Public Works, U.S. Senate. Washington, D.C: GAO, 2004.

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Balzer, Gerd, and Christian Schorn. Asset Management for Infrastructure Systems. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90854-6.

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Balzer, Gerd, and Christian Schorn. Asset Management for Infrastructure Systems. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17879-0.

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Mathew, Joseph, Jim Kennedy, Lin Ma, Andy Tan, and Deryk Anderson, eds. Engineering Asset Management. London: Springer London, 2006. http://dx.doi.org/10.1007/978-1-84628-814-2.

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Zuo, Ming J., Lin Ma, Joseph Mathew, and Hong-Zhong Huang, eds. Engineering Asset Management 2016. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-62274-3.

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Kiritsis, Dimitris, Christos Emmanouilidis, Andy Koronios, and Joseph Mathew, eds. Engineering Asset Lifecycle Management. London: Springer London, 2010. http://dx.doi.org/10.1007/978-0-85729-320-6.

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Book chapters on the topic "Infrastructure Engineering and Asset Management"

1

Haider, Abrar. "Asset Management." In Information Systems for Engineering and Infrastructure Asset Management, 17–52. Wiesbaden: Gabler Verlag, 2013. http://dx.doi.org/10.1007/978-3-8349-4234-0_2.

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Shaw, Gavin, Rick Walters, Arun Kumar, and Antony Sprigg. "Sustainability in Infrastructure Asset Management." In Lecture Notes in Mechanical Engineering, 525–34. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06966-1_47.

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Van der Lei, T. E., Y. C. Wijnia, and P. M. Herder. "Towards an Asset Management Framework of Asset Characteristics, Asset Environment, Lifecycle Phases, and Management." In Engineering Asset Management and Infrastructure Sustainability, 543–56. London: Springer London, 2012. http://dx.doi.org/10.1007/978-0-85729-493-7_42.

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Matos, José C., Luis Neves, and Bruno Gonçalves. "Asset Management." In Sustainable Structural Engineering, 93–110. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2015. http://dx.doi.org/10.2749/sed014.093.

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<p>The increase in the number of ageing infrastructures in Europe, North America, and Japan over the last three decades, has led to the development of a set of tools that allow a more consistent and optimized management procedure. Asset management can be deﬁ ned as the systematic activities and practices used by an organization to manage its infrastructures, by optimizing performance, risk, and expenditures over the structure’s entire life cycle. These tools and procedures are fundamental in reducing costs during the use of the structure, as well as in extending their service life, and minimizing decommissioning and replacement expenditures.</p>

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Teske, C. "Asset Management: Middle East Style." In Engineering Asset Management and Infrastructure Sustainability, 919–29. London: Springer London, 2012. http://dx.doi.org/10.1007/978-0-85729-493-7_71.

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Tomasella, M., and A. K. Parlikad. "Through-Life Management of Engineering Assets." In Engineering Asset Management and Infrastructure Sustainability, 931–44. London: Springer London, 2012. http://dx.doi.org/10.1007/978-0-85729-493-7_72.

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Amadi-Echendu, Joe E., Hal Belmonte, Chris von Holdt, and Jay Bhagwan. "A case study of condition assessment of water and sanitation infrastructure." In Engineering Asset Lifecycle Management, 173–77. London: Springer London, 2010. http://dx.doi.org/10.1007/978-0-85729-320-6_20.

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Lee, Woo Bang, Sang-Young Moh, and Hong-Jung Choi. "Plant Asset Management Today and Tomorrow." In Engineering Asset Management and Infrastructure Sustainability, 1–17. London: Springer London, 2012. http://dx.doi.org/10.1007/978-0-85729-493-7_1.

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Healy, J. A. "Safety Critical Elements in Asset Management." In Engineering Asset Management and Infrastructure Sustainability, 347–57. London: Springer London, 2012. http://dx.doi.org/10.1007/978-0-85729-493-7_29.

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Raveenthiran, Appiah. "Human Dimensions in Integrated Asset Management." In Engineering Asset Management and Infrastructure Sustainability, 759–77. London: Springer London, 2012. http://dx.doi.org/10.1007/978-0-85729-493-7_59.

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Conference papers on the topic "Infrastructure Engineering and Asset Management"

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Nasiri, Fuzhan. "Infrastructure Asset Management – A Systems Engineering Perspective." In 2nd International Conference on Civil Engineering Fundamentals and Applications (ICCEFA'21). Avestia Publishing, 2021. http://dx.doi.org/10.11159/iccefa21.002.

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Heller, Miriam. "Infrastructure Security, Dependencies, and Asset Management." In Pipeline Engineering and Construction International Conference 2003. Reston, VA: American Society of Civil Engineers, 2003. http://dx.doi.org/10.1061/40690(2003)68.

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Rasdorf, W. J., J. E. Hummer, and E. A. Harris. "IT Infrastructure Problems for Asset Management." In International Workshop on Computing in Civil Engineering 2007. Reston, VA: American Society of Civil Engineers, 2007. http://dx.doi.org/10.1061/40937(261)10.

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Zhang, Wenjuan, and Wenbin Wang. "Whole life cost modelling in infrastructure asset management." In 2013 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE). IEEE, 2013. http://dx.doi.org/10.1109/qr2mse.2013.6625902.

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Pedersen, Lars Fuhr. "Data-driven Bridge Asset Management with Drones, Robots & AI." In IABSE Conference, Copenhagen 2018: Engineering the Past, to Meet the Needs of the Future. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2018. http://dx.doi.org/10.2749/copenhagen.2018.456.

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<p>Sund & Bælt is a technology-driven infrastructure company that owns and operates the fixed links across Storebælt and Øresund and, within a few years, the link across the Fehmarnbelt to Germany. These facilities were built under the framework of the Danish state-guarantee model and have significantly improved daily travel for more than 250,000 customers.<p>Our current challenges are that our assets are aging with increasing costs and the learning curve for our knowledge of the assets is becoming more flat. This means that we will have to increase our use of technology to lower costs and to analyse our processes and methods more detailed and that we will have to analyse and redesign our assets through optimisation of our procurement processes.<p>Sund & Bælt is currently using a digital asset management system and is further digitising operation of our major bridges and infrastructure facilities in partnership with external technology experts to deliver unique solutions that will increase efficiency within the infrastructure area - not only at Sund & Bælt, but also within the industry as a whole.<p>The following paper describes, in details, how the bridges are managed, the ambition, the plan, results achieved so far, the technologies involved and finally the perspectives and conclusions.

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Zhai, Dong, Meghan Hammerle, Laxmi Ramasubramanian, Lise Dirks, Sue McNeil, Jason Schiedel, and Sharif Abou-sabh. "Managing the Chicago Transit Authority's Infrastructure Using Spatially Referenced Asset Management." In Eighth International Conference on Applications of Advanced Technologies in Transportation Engineering (AATTE). Reston, VA: American Society of Civil Engineers, 2004. http://dx.doi.org/10.1061/40730(144)50.

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Asih, Ria, Aryani Soemitro, and Hitapriya Suprayitno. "Preliminary Curriculum Design for an Indonesian Master of Engineering Program on Public Infrastructure Asset Management." In The 13th National Conference on Technical Education andThe 8th International Conference on Technical Education. KMUTNB, Bangkok, Thailand, 2021. http://dx.doi.org/10.14416/c.fte.2021.07.050.

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Lattanzio, Susan, Linda Newnes, Marcelle McManus, and Derrick Dunkley. "Life Cycle Decision Support Tools: The Use of Quality Management Techniques in Combating Decision Tool “Performance Decay”." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-59888.

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Ensuring that global infrastructure keeps pace with the demands of economic growth and human wellbeing is anticipated to result in spend of US$57 trillion (2013–30). Specific to the UK power sector, redesigning the electrical transmission network to support decarbonisation of the economy will result in an estimated spend in the region of US$50 billion (2010–20). The challenge within the infrastructure sector is in ensuring that investment productivity is maximized and the appropriate assets are built. One approach being used are decision support tools (DSTs) aimed at assisting the optimum asset choice, by considering a range of costs across the life of the asset. However, there is a gap in ensuring the sustainability of these tools: that is, ensuring that after adoption they continue to offer the same value. The research presented in this paper considers ‘performance decay’ of DSTs and proposes an approach to ensure they remain ‘fit for purpose’. Our research proposes that adopting a quality management system approach will combat performance decay, and move current DSTs from ‘static’ to ‘live’ and evolving states. Within this paper a review of literature is provided. Scenarios are used to explore possible changes in performance, and an industry exemplar used to demonstrate the plausibility of performance decay. An approach to address performance decay by embedding quality management systems techniques is then introduced.

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Ek, Kristine, Alexandre Mathern, Rasmus Rempling, Lars Rosén, Christina Claeson-Jonsson, Petra Brinkhoff, and Malin Norin. "Multi-criteria decision analysis methods to support sustainable infrastructure construction." In IABSE Symposium, Guimarães 2019: Towards a Resilient Built Environment Risk and Asset Management. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2019. http://dx.doi.org/10.2749/guimaraes.2019.1084.

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<p>The construction of infrastructure projects represents a large sustainability impact, both positive and negative. Increased positive and reduced negative impacts can be achieved through better design and planning of the construction. To make more sustainable choices, well-defined predictive sustainability assessment methods are required. Multi-criteria decision analysis (MCDA) is a well- suited method for predictive sustainability assessment. This paper evaluates two MCDA methods for sustainability assessment of infrastructure construction and exemplifies their application with two case studies. The aim of this paper is to discuss if the methods are suitable for identifying the most sustainable alternative during the procurement process of an infrastructure project. It is recommended that MCDA methods are further developed to comply with the recently published EN standard on sustainability assessment of civil engineering works.</p>

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Fernandes, João, Monica Santamaria, José C. Matos, Daniel V. Oliveira, Lino Costa, António, and Abel Henriques. "An infrastructure management system for railway bridges: overview and application to a case study." In IABSE Symposium, Guimarães 2019: Towards a Resilient Built Environment Risk and Asset Management. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2019. http://dx.doi.org/10.2749/guimaraes.2019.0168.

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<p>A management system is a decision-making tool that uses mathematical models to predict the future condition of the infrastructures as well as to make recommendations to the project managers. Generally, an infrastructure management system shall include a system for processing and analysing data, predicting deterioration, proposing maintenance actions, forecasting costs, obtaining optimal solutions and defining strategies that considers the political and economic constraints. The focus on this paper will be the module regarding the definition of cost-models.</p><p>During its life cycle, bridges are exposed to several issues that can compromise their functionality. In this way, performing maintenance and rehabilitation actions and establishing cost models are very important tasks to keep the bridge functions according to the demands of the society. In the field of bridge engineering, the cost models can be used for different purposes such as the definition of optimum maintenance policies and project investment alternatives. Also, they are very important for the decision-making process once they cover several aspects related to the decisions about the system’s performance and decisions that are influenced by social-economic aspects. Hence, the idea of this paper is to discuss different approaches of how the cost-models are evaluated over a life cycle of a bridge due different scenarios of maintenance and rehabilitation with an application to a case study.</p>

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Reports on the topic "Infrastructure Engineering and Asset Management"

1

Keith, Edmond. Corrective Actions Plan for Real Property Asset Management - Triad Infrastructure Programs Office. Office of Scientific and Technical Information (OSTI), November 2020. http://dx.doi.org/10.2172/1699447.

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Grussing, Michael N., Steve Gunderson, Mary Canfield, Ed Falconer, Albert Antelman, and Samuel L. Hunter. Development of the Army Facility Mission Dependency Index for Infrastructure Asset Management. Fort Belvoir, VA: Defense Technical Information Center, September 2010. http://dx.doi.org/10.21236/ada552791.

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Wright, Alex, Peter Sanders, John Proust, Robin Workman, Tadas Andriejauskas, and Hao Ye. The new toolkit for highways asset management. TRL, September 2021. http://dx.doi.org/10.58446/ojct3729.

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The application of consistent, reliable information is a key component of highway asset management. However, the tools to understand asset performance have developed rapidly over the last decade. These include asset surveys, intelligent infrastructure monitoring, crowd sourcing, remote sensing, data analytics and visualisation. However, their potential is not yet being fully exploited within the highway environment. By bringing these components of sensing and measurement together we could better understand highway assets and improve reactive and proactive decisions. This paper discusses the tools now available to understand the performance of highway assets. It explores their current and future capabilities, the benefits they bring, and the possibilities that could be achieved through their application within an integrated toolkit. Whilst these tools are not in themselves “new”, a key objective of the paper has been to highlight their emerging capabilities, bring awareness to highway asset managers, and encourage their take up. Increased application will inevitably lead to further development in capability and, importantly, accessibility. There are a number of challenges to overcome to draw full value from these technologies. These include the technical, commercial, and social barriers that influence development and accessibility. The paper discusses actions that could help overcome these, which are presented within the context of a roadmap to the implementation of an integrated toolkit. The roadmap is not definitive - it aims to stimulate further thinking, debate and discussion. The effective management of infrastructure assets is essential to deliver a clean, efficient, safe, reliable and accessible network. A joined up and collaborative approach will help the community achieve the benefits of the integrated toolkit that will help asset managers achieve this.

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Chen, Peter, Marjon Dean, Don Ojoko-Adams, Hassan Osman, Lilian Lopez, Nick Xie, and Nancy R. Mead. System Quality Requirements Engineering (SQUARE) Methodology: Case Study on Asset Management System. Fort Belvoir, VA: Defense Technical Information Center, December 2004. http://dx.doi.org/10.21236/ada454482.

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Chen, Peter, Marjon Dean, Don Ojoko-Adams, Hassan Osman, and Lillian Lopez. Systems Quality Requirements Engineering (SQUARE) Methodology: Case Study on Asset Management System. Fort Belvoir, VA: Defense Technical Information Center, December 2004. http://dx.doi.org/10.21236/ada431068.

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Guo, Xingzhou, Chi Tian, Jinwu Xiao, Yunfeng Chen, and Jiansong Zhang. Life Cycle Integration of Building Information Modeling in Infrastructure Projects. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317356.

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Building Information Modeling (BIM) can provide solutions to many challenges of asset management, such as missing data, incompatible software, and an unclear business process. However, current implementation of BIM in infrastructure projects has only considers limited factors, such as technology application and digital information delivery, while issues of system compatibility and information needs are still missing. Different aspects of a business are interdependent and an incompatible development of various factors might result in different levels of BIM implementation or even project failure. Comprehensive research is needed to explore the key factors and challenges of BIM implementation in infrastructure projects. This study conducted interviews and surveys with key stakeholders of infrastructure projects to explore the challenges and potential solutions of BIM implementation. Interviews were conducted with 37 professionals and surveys were conducted with 102 professional stakeholders, including owners, designers, contractors, and software vendors. Four main factors, challenges, and potential solutions were identified from content analysis of the interviews and further validated by the surveys. These factors include process factor (when), technology factor (how), people factor (who), and information factor (what). Corresponding solutions are proposed to refine the current workflow and practices.

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Bridges, Todd, Jeffrey King, Johnathan Simm, Michael Beck, Georganna Collins, Quirijn Lodder, and Ram Mohan. International Guidelines on Natural and Nature-Based Features for Flood Risk Management. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41946.

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To deliver infrastructure that sustain our communities, economy, and environment, we must innovate, modernize, and even revolutionize our approach to infrastructure development. Change takes courage, but as one starts down the path of innovation, what was once novel becomes more familiar, more established. The U.S. Army Corps of Engineers (USACE) is walking this path with our partners through the Engineering With Nature (EWN) Initiative, integrating human engineering with natural systems. The International Guidelines on Natural and Nature-Based Features for Flood Risk Management are the next step toward revolutionary infrastructure development—a set of real-world guidelines to help familiarize us with what was once novel. USACE and collaborators around the world have been building, learning, and documenting the best practices for constructing Natural and Nature-Based Features (NNBF) for decades. The consolidation of these lessons into a single guidance document gives decision-makers and practitioners a much-needed resource to pursue, consider, and apply NNBF for flood risk management while expanding value through infrastructure. Relationships and partnerships are vital ingredients for innovation and progress. The NNBF Guidelines was achieved because of the strong relationships in the nature-based engineering community. The magnitude and diversity of contributors to the NNBF Guidelines have resulted in a robust resource that provides value beyond a single agency, sector, or nation. Similarly, the work of incorporating NNBF into projects will require us to strengthen our relationships across organizations, mandates, and missions to achieve resilient communities. I hope you are inspired by the collaborative achievement of the NNBF Guidelines and will draw from this resource to develop innovative solutions to current and future flood risk management challenges. There is a lot we can achieve together along the path of revolutionary infrastructure development.

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Alt, Jonathan, Willie Brown, George Gallarno, John Richards, Jennifer Olszewski, and Titus Rice. Risk-based prioritization of operational condition assessments : methodology and case study results. Engineer Research and Development Center (U.S.), November 2022. http://dx.doi.org/10.21079/11681/46123.

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USACE operates, maintains, and manages more than $232 billion of the Nation’s water resource infrastructure. USACE uses the Operational Condition Assessment (OCA) to allocate limited resources to assess condition of this infrastructure in efforts to minimize risks associated with performance degradation. The analysis of risk associated with flood risk management (FRM) assets includes consideration of how each asset contributes to its associated FRM watershed system, understanding the consequences of the asset’s performance degradation, and a determination of the likelihood that the asset will perform as expected given the current OCA condition ratings of critical components. This research demonstrates a proof-of-concept application of a scalable methodology to model the probability of a dam performing as expected given the state of its gates and their components. The team combines this likelihood of degradation with consequences generated by the application of designed simulation experiments with hydrological models to develop a risk measure. The resulting risk scores serve as an input for a mixed-integer optimization program that outputs the optimal set of components to conduct OCAs on to minimize risk in the watershed. This report documents the results of the application of this methodology to two case studies.

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Alt, Jonathan, Willie Brown, George Gallarno, John Richards, and Titus Rice. Risk-based prioritization of operational condition assessments : Jennings Randolph case study. Engineer Research and Development Center (U.S.), April 2022. http://dx.doi.org/10.21079/11681/43862.

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The US Army Corps of Engineers (USACE) operates, maintains, and manages over $232 billion worth of the Nation’s water resource infrastructure. Using Operational Condition Assessments (OCA), the USACE allocates limited resources to assess asset condition in efforts to minimize risks associated with asset performance degradation, but decision makers require a greater understanding of those risks. The analysis of risk associated with Flood Risk Management assets in the context of its associated watershed system includes understanding the consequences of the asset’s failure and a determination of the likelihood that the asset will perform as expected given the current OCA ratings of critical components. This research demonstrates an application of a scalable methodology to model the probability of a dam performing as expected given the state of its subordinate gates and their components. The research team combines this likelihood with consequences generated by the application of designed simulation experiments with hydrological models to develop a measure of risk. The resulting risk scores serve as an input for an optimization program that outputs the optimal set of components to conduct OCAs on to minimize risk in the watershed. Proof-of-concept results for an initial case study on the Jennings Randolph Dam are provided.

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Moore, David, Damarys Acevedo-Acevedo, and Philip Gidley. Application of clean dredged material to facilitate contaminated sediment source control. Engineer Research and Development Center (U.S.), September 2022. http://dx.doi.org/10.21079/11681/45342.

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Navigation channels, turning basins, and other US Army Corps of Engineers (USACE)–managed navigation infrastructure often serve as repositories for contaminated sediment from off-site sources. As much as 10% of the material that USACE dredges on an annual basis is contaminated such that it requires additional and more costly management (for example, rehandling and placement in managed confined disposal facilities). Presence of contaminated sediments constrain potential management options resulting in additional costs and opportunity loss from the inability to beneficially use the material. One potential solution is applying clean dredged material to stabilize and isolate contaminated sediment sources, preventing further transport and introduction to USACE-managed infrastructure. This document summarizes a comprehensive literature review of laboratory and field case studies relevant to using clean dredged material to isolate or stabilize contaminated sediments, focusing on the physical, chemical, and biological parameters critical to establishing its feasibility and long-term effectiveness. Potentially effective engineering control measures were also reviewed where erosion and site hydrodynamics are facilitating the transport of contaminated sediments to USACE-maintained navigation infrastructure. This literature review documents and summarizes those factors considered in establishing feasibility and long-term effectiveness of the approach as well as the applicable engineering tools employed and constraints encountered.

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