Relevant bibliographies by topics / Civil and structural engineering

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Civil and structural engineering'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 April 2024

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Journal articles on the topic "Civil and structural engineering"

1

Findik, Furkan, and Fehim Findik. "Civil engineering materials." Heritage and Sustainable Development 3, no. 2 (October 11, 2021): 154–72. http://dx.doi.org/10.37868/hsd.v3i2.74.

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For any construction project to prove satisfactory, it is essential to understand the properties of materials during both the design and construction phases. It is crucial to consider the economic viability and sociological and environmental impact of a project. During this initial design phase, possible alternative locations and a preliminary assessment of suitable construction materials are taken into account. The decision of which structural form and material choice is most appropriate depends on a number of factors including cost, physical properties, durability and availability of materials. Buildings can contain wood, metals, concrete, bituminous materials, polymers, and bricks and blocks. Some of these can only be used in non-structural elements, while others can be used alone or in combination with structural elements. The actual materials used in the structural members will depend on both the structural form and other factors mentioned earlier. In this study, various materials such as metal, timber, concrete floor and polymer used in civil engineering were examined, the properties and usage areas of these materials were examined.
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Yamaguchi, Hiroki. "Structural Control in Civil Engineering." Journal of the Society of Mechanical Engineers 103, no. 980 (2000): 456–60. http://dx.doi.org/10.1299/jsmemag.103.980_456.

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3

Topping, Barry. "Innovation in civil and structural engineering." Computers & Structures 77, no. 4 (July 2000): 343–44. http://dx.doi.org/10.1016/s0045-7949(00)00025-0.

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4

Topping, Barry H. V. "Innovation in civil and structural engineering." Engineering Structures 23, no. 1 (January 2001): 2–3. http://dx.doi.org/10.1016/s0141-0296(00)00015-8.

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Huang, De Yu. "Development of Civil Engineering Structural Damage Diagnosis." Advanced Materials Research 671-674 (March 2013): 2029–31. http://dx.doi.org/10.4028/www.scientific.net/amr.671-674.2029.

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Damage diagnosis of civil engineering structures has become one of the hot spots of the current international research in the field of Civil Engineering.This article describes the tasks and objectives of structural damage detection in civil engineering,systematically expounded the civil engineering structural damage diagnosis describes the traditional methods of structural damage diagnosis, static methods and dynamic methods, and evaluated their respective advantages and disadvantages.Finally, the study made several suggestions and Prospects for structural damage detection.
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Salomoni, Valentina, Carmelo Majorana, and Matteo Cristani. "Knowledge Representation in Civil and Structural Engineering." Recent Patents on Computer Sciencee 1, no. 3 (November 1, 2008): 162–81. http://dx.doi.org/10.2174/2213275910801030162.

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7

Panagiotou, Konstantinos D., and Konstantinos V. Spiliopoulos. "Shakedown analysis of civil engineering structural elements." Proceedings of the Institution of Civil Engineers - Engineering and Computational Mechanics 168, no. 3 (September 2015): 90–98. http://dx.doi.org/10.1680/jencm.14.00029.

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Salomoni, Valentina A., Carmelo E. Majorana, and Matteo Cristani. "Knowledge Representation in Civil and Structural Engineering." Recent Patents on Computer Science 1, no. 3 (January 9, 2010): 162–81. http://dx.doi.org/10.2174/1874479610801030162.

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9

Panagiotou, Konstantinos D., and Konstantinos V. Spiliopoulos. "Shakedown analysis of civil engineering structural elements." Proceedings of the ICE - Engineering and Computational Mechanics 168, no. 3 (September 1, 2015): 90–98. http://dx.doi.org/10.1680/eacm.14.00029.

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10

Williams, C. J. K. "Polymer composites for civil and structural engineering." Composites Science and Technology 51, no. 1 (January 1994): 117–18. http://dx.doi.org/10.1016/0266-3538(94)90163-5.

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Dissertations / Theses on the topic "Civil and structural engineering"

1

Edrees, Tarek. "Structural Identification of Civil Engineering Structures." Licentiate thesis, Luleå tekniska universitet, Byggkonstruktion och -produktion, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-26719.

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The assumptions encountered during the analysis and design of civil engineering structures lead to a difference in the structural behavior between calculations based models and real structures. Moreover, the recent approach in civil engineering nowadays is to rely on the performance-based design approaches, which give more importance for durability, serviceability limit states, and maintenance.Structural identification (St-Id) approach was utilized to bridge the gap between the real structure and the model. The St-Id procedure can be utilized to evaluate the structures health, damage detection, and efficiency. Despite the enormous developments in parametric time-domain identification methods, their relative merits and performance as correlated to the vibrating structures are still incomplete due to the lack of comparative studies under various test conditions and the lack of extended applications and verification of these methods with real-life data.This licentiate thesis focuses on the applications of the parametric models and non-parametric models of the System Identification approach to assist in a better understanding of their potentials, while proposing a novel strategy by combining this approach with the utilization of the Singular Value Decomposition (SVD) and the Complex Mode Indicator Function (CMIF) curves based techniques in the damage detection of structures.In this work, the problems of identification of the vertical frequencies of the top storey in a multi-storey¸ building prefabricated from reinforced concrete in Stockholm, and the existence of damage and damage locations for a bench mark steel frame are investigated. Moreover, the non-parametric structural identification approach to investigate the amount of variations in the modal characteristics (frequency, damping, and modes shapes) for a railway steel bridge will be presented.
Godkänd; 2014; 20141023 (taredr); Nedanstående person kommer att hålla licentiatseminarium för avläggande av teknologie licentiatexamen. Namn: Tarek Edrees Saaed Ämne: Konstruktionsteknik/Structural Engineering Uppsats: Structural Identification of Civil Engineering Structures Examinator: Professor Jan-Erik Jonasson, Institutionen för samhällsbyggnad och naturresurser, Luleå tekniska universitet Diskutant: Forskare Andreas Andersson, Brobyggnad inklusive Stålbyggnad, Kungliga Tekniska Högskolan Tid: Torsdag den 20 november 2014 kl 10:00 Plats: F1031, Luleå tekniska universitet
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Edrees, Tarek. "Structural Control and Identification of Civil Engineering Structures." Doctoral thesis, Luleå tekniska universitet, Byggkonstruktion och -produktion, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-18700.

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In general, the main purpose of a structural control system is to apply powerful control techniques that improve the behaviour of civil structures under various kinds of dynamic loading. The first part of this thesis presents novel applications of posicast and input shaping control schemes that have never previously been applied in the field of structural control. Numerical simulations of a benchmark three-story building with an MR damper are used to verify the efficiency of the proposed control theories. The superiority and effectiveness of the suggested schemes at reducing the structure’s responses were demonstrated using six evaluation criteria and by comparison to results achieved with well-established classical control schemes. Moreover, a comprehensive procedure for generating scaled real ground motion records appropriate for a seismic analysis and design of structures using the linear spectrum matching technique is presented based on a seismic hazard study.To efficiently control a structure, it is necessary to estimate its real-life dynamical behaviour. This is usually done using the Structural Identification approach, which is also addressed in this thesis. Structural Identification is commonly utilized to bridge the gap between the real structure and its modeled behaviour. It can also be used to evaluate the structure’s health, detect damage, and assess efficiency. Despite the extensive development of parametric time domain identification methods, their relative merits and the accuracy with which they predict the behaviour of vibrating structures are largely unknown because there have been few comparative studies on their performance under diverse test conditions, and they have not been verified against real-life data gathered over extended periods of time.Thus, the second part of this thesis focuses on applications of parametric and non-parametric models based on the Structural Identification approach in order to clarify their potential and applicability. In addition, a new strategy is proposed that combines this approach with techniques based on Singular Value Decomposition (SVD) and Complex Mode Indicator Function (CMIF) curves to detect structural damage.The methods developed in this work are used to predict the vertical frequencies of the top storey in a multi-storey building prefabricated from reinforced concrete in Stockholm, and to detect and locate damage in a benchmark steel frame. In addition, the non-parametric structural identification approach is used to investigate variation in the modal characteristics (frequency, damping, and mode shapes) of a steel railway bridge.

Godkänd; 2015; 20150303 (taredr); Nedanstående person kommer att disputera för avläggande av teknologie doktorsexamen. Namn: Tarek Edreees Saaed Alqado Ämne: Konstruktionsteknik/Structural Engineering Avhandling: Structural Control and Identification of Civil Engineering Structures Opponent: Professor Francesc Pozo, Department of Applied Mathematics III, Escola Universitària d’Enginyeria Tècnica Industrial de Barcelona (EUETIB), Universitat Politècnica de Catalunya Comte d’Urgell, Barcelona, Spanien Ordförande: Professor Jan-Erik Jonasson vid Avd för byggkonstruktion och produktion, Institutionen för samhällsbyggnad och naturresurser, Luleå tekniska universitet Tid: Torsdag den 26 mars 2015, kl 10.00 Plats: C305, Luleå tekniska universitet

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3

Shafieezadeh, Abdollah. "Application Of Structural Control For Civil Engineering Structures." DigitalCommons@USU, 2008. https://digitalcommons.usu.edu/etd/142.

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This study presents the application of control methods in seismic mitigation of structural responses. The study consists of two parts. In the first section, fractional order filters are utilized to enhance the performance of the conventional LQR method for optimal robust control of a simple civil structure. The introduced filters modify the state variables fed back to the constant gain controller. Four combinations of fractional order filter and LQR are considered and optimized based on a new performance criterion defined in the paper. Introducing fractional order filters is shown to improve the results considerably for both the artificially generated ground motions and previously recorded earthquake data. In the second part, frequency dependent filters are introduced to improve the effectiveness of active control systems designed to mitigate the seismic response of large scale civil structures. These filters are introduced as band pass pre-filters to the optimally designed H2/LQG controller to reduce the maximum singular value response of input-output transfer matrices over a defined frequency range. Furthermore, a structured uncertainty model is proposed to evaluate robustness of stability and performance considering nonlinear force-deformation behavior of structures. The proposed perturbation model characterizes variations in the stiffness matrix more accurately, thereby reducing overconservatism in the estimated destabilizing perturbations. The aforementioned techniques are applied to the nonlinear SAC three story steel building. Numerical results indicate that introducing filters can enhance the performance of the system in almost all response measures, while preserving robustness of stability and performance.
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4

Keyhani, Ali. "A Study On The Predictive Optimal Active Control Of Civil Engineering Structures." Thesis, Indian Institute of Science, 2000. https://etd.iisc.ac.in/handle/2005/223.

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Uncertainty involved in the safe and comfort design of the structures is a major concern of civil engineers. Traditionally, the uncertainty has been overcome by utilizing various and relatively large safety factors for loads and structural properties. As a result in conventional design of for example tall buildings, the designed structural elements have unnecessary dimensions that sometimes are more than double of the ones needed to resist normal loads. On the other hand the requirements for strength and safety and comfort can be conflicting. Consequently, an alternative approach for design of the structures may be of great interest in design of safe and comfort structures that also offers economical advantages. Recently, there has been growing interest among the researchers in the concept of structural control as an alternative or complementary approach to the existing approaches of structural design. A few buildings have been designed and built based on this concept. The concept is to utilize a device for applying a force (known as control force) to encounter the effects of disturbing forces like earthquake force. However, the concept still has not found its rightful place among the practical engineers and more research is needed on the subject. One of the main problems in structural control is to find a proper algorithm for determining the optimum control force that should be applied to the structure. The investigation reported in this thesis is concerned with the application of active control to civil engineering structures. From the literature on control theory. (Particularly literature on the control of civil engineering structures) problems faced in application of control theory were identified and classified into two categories: 1) problems common to control of all dynamical systems, and 2) problems which are specially important in control of civil engineering structures. It was concluded that while many control algorithms are suitable for control of dynamical systems, considering the special problems in controlling civil structures and considering the unique future of structural control, many otherwise useful control algorithms face practical problems in application to civil structures. Consequently a set of criteria were set for judging the suitability of the control algorithms for use in control of civil engineering structures. Various types of existing control algorithms were investigated and finally it was concluded that predictive optimal control algorithms possess good characteristics for purpose of control of civil engineering structures. Among predictive control algorithms, those that use ARMA stochastic models for predicting the ground acceleration are better fitted to the structural control environment because all the past measured excitation is used to estimate the trends of the excitation for making qualified guesses about its coming values. However, existing ARMA based predictive algorithms are devised specially for earthquake and require on-line measurement of the external disturbing load which is not possible for dynamic loads like wind or blast. So, the algorithms are not suitable for tall buildings that experience both earthquake and wind loads during their life. Consequently, it was decided to establish a new closed loop predictive optimal control based on ARMA models as the first phase of the study. In this phase it was initially established that ARMA models are capable of predicting response of a linear SDOF system to the earthquake excitation a few steps ahead. The results of the predictions encouraged a search for finding a new closed loop optimal predictive control algorithm for linear SDOF structures based on prediction of the response by ARMA models. The second part of phase I, was devoted to developing and testing the proposed algorithm The new developed algorithm is different from other ARMA based optimal controls since it uses ARMA models for prediction of the structure response while existing algorithms predict the input excitation. Modeling the structure response as an AR or ARMA stochastic process is an effective mean for prediction of the structure response while avoiding measurement of the input excitation. ARMA models used in the algorithm enables it to avoid or reduce the time delay effect by predicting the structure response a few steps ahead. Being a closed loop control, the algorithm is suitable for all structural control conditions and can be used in a single control mechanism for vibration control of tall buildings against wind, earthquake or other random dynamic loads. Consequently the standby time is less than that for existing ARMA based algorithms devised only for earthquakes. This makes the control mechanism more reliable. The proposed algorithm utilizes and combines two different mathematical models. First model is an ARMA model representing the environment and the structure as a single system subjected to the unknown random excitation and the second model is a linear SDOF system which represents the structure subjected to a known past history of the applied control force only. The principle of superposition is then used to combine the results of these two models to predict the total response of the structure as a function of the control force. By using the predicted responses, the minimization of the performance index with respect to the control force is carried out for finding the optimal control force. As phase II, the proposed predictive control algorithm was extended to structures that are more complicated than linear SDOF structures. Initially, the algorithm was extended to linear MDOF structures. Although, the development of the algorithm for MDOF structures was relatively straightforward, during testing of the algorithm, it was found that prediction of the response by ARMA models can not be done as was done for SDOF case. In the SDOF case each of the two components of the state vector (i.e. displacement and velocity) was treated separately as an ARMA stochastic process. However, applying the same approach to each component of the state vector of a MDOF structure did not yield satisfactory results in prediction of the response. Considering the whole state vector as a multi-variable ARMA stochastic vector process yielded the desired results in predicting the response a few steps ahead. In the second part of this phase, the algorithm was extended to non-linear MDOF structures. Since the algorithm had been developed based on the principle of superposition, it was not possible to directly extend the algorithm to non-linear systems. Instead, some generalized response was defined. Then credibility of the ARMA models in predicting the generalized response was verified. Based on this credibility, the algorithm was extended for non-linear MDOF structures. Also in phase II, the stability of a controlled MDOF structure was proved. Both internal and external stability of the system were described and verified. In phase III, some problems of special interest, i.e. soil-structure interaction and control time delay, were investigated and compensated for in the framework of the developed predictive optimal control. In first part of phase III soil-structure interaction was studied. The half-space solution of the SSI effect leads to a frequency dependent representation of the structure-footing system, which is not fit for control purpose. Consequently an equivalent frequency independent system was proposed and defined as a system whose frequency response is equal to the original structure -footing system in the mean squares sense. This equivalent frequency independent system then was used in the control algorithm. In the second part of this phase, an analytical approach was used to tackle the time delay phenomenon in the context of the predictive algorithm described in previous chapters. A generalized performance index was defined considering time delay. Minimization of the generalized performance index resulted into a modified version of the algorithm in which time delay is compensated explicitly. Unlike the time delay compensation technique used in the previous phases of this investigation, which restricts time delay to be an integer multiplier of the sampling period, the modified algorithm allows time delay to be any non-negative number. However, the two approaches produce the same results if time delay is an integer multiplier of the sampling period. For evaluating the proposed algorithm and comparing it with other algorithms, several numerical simulations were carried during the research by using MATLAB and its toolboxes. A few interesting results of these simulations are enumerated below: ARM A models are able to predict the response of both linear and non-linear structures to random inputs such as earthquakes. The proposed predictive optimal control based on ARMA models has produced better results in the context of reducing velocity, displacement, total energy and operational cost compared to classic optimal control. Proposed active control algorithm is very effective in increasing safety and comfort. Its performance is not affected much by errors in the estimation of system parameters (e.g. damping). The effect of soil-structure interaction on the response to control force is considerable. Ignoring SSI will cause a significant change in the magnitude of the frequency response and a shift in the frequencies of the maximum response (resonant frequencies). Compensating the time delay effect by the modified version of the proposed algorithm will improve the performance of the control system in achieving the control goal and reduction of the structural response.
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5

Keyhani, Ali. "A Study On The Predictive Optimal Active Control Of Civil Engineering Structures." Thesis, Indian Institute of Science, 2000. http://hdl.handle.net/2005/223.

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Abstract:
Uncertainty involved in the safe and comfort design of the structures is a major concern of civil engineers. Traditionally, the uncertainty has been overcome by utilizing various and relatively large safety factors for loads and structural properties. As a result in conventional design of for example tall buildings, the designed structural elements have unnecessary dimensions that sometimes are more than double of the ones needed to resist normal loads. On the other hand the requirements for strength and safety and comfort can be conflicting. Consequently, an alternative approach for design of the structures may be of great interest in design of safe and comfort structures that also offers economical advantages. Recently, there has been growing interest among the researchers in the concept of structural control as an alternative or complementary approach to the existing approaches of structural design. A few buildings have been designed and built based on this concept. The concept is to utilize a device for applying a force (known as control force) to encounter the effects of disturbing forces like earthquake force. However, the concept still has not found its rightful place among the practical engineers and more research is needed on the subject. One of the main problems in structural control is to find a proper algorithm for determining the optimum control force that should be applied to the structure. The investigation reported in this thesis is concerned with the application of active control to civil engineering structures. From the literature on control theory. (Particularly literature on the control of civil engineering structures) problems faced in application of control theory were identified and classified into two categories: 1) problems common to control of all dynamical systems, and 2) problems which are specially important in control of civil engineering structures. It was concluded that while many control algorithms are suitable for control of dynamical systems, considering the special problems in controlling civil structures and considering the unique future of structural control, many otherwise useful control algorithms face practical problems in application to civil structures. Consequently a set of criteria were set for judging the suitability of the control algorithms for use in control of civil engineering structures. Various types of existing control algorithms were investigated and finally it was concluded that predictive optimal control algorithms possess good characteristics for purpose of control of civil engineering structures. Among predictive control algorithms, those that use ARMA stochastic models for predicting the ground acceleration are better fitted to the structural control environment because all the past measured excitation is used to estimate the trends of the excitation for making qualified guesses about its coming values. However, existing ARMA based predictive algorithms are devised specially for earthquake and require on-line measurement of the external disturbing load which is not possible for dynamic loads like wind or blast. So, the algorithms are not suitable for tall buildings that experience both earthquake and wind loads during their life. Consequently, it was decided to establish a new closed loop predictive optimal control based on ARMA models as the first phase of the study. In this phase it was initially established that ARMA models are capable of predicting response of a linear SDOF system to the earthquake excitation a few steps ahead. The results of the predictions encouraged a search for finding a new closed loop optimal predictive control algorithm for linear SDOF structures based on prediction of the response by ARMA models. The second part of phase I, was devoted to developing and testing the proposed algorithm The new developed algorithm is different from other ARMA based optimal controls since it uses ARMA models for prediction of the structure response while existing algorithms predict the input excitation. Modeling the structure response as an AR or ARMA stochastic process is an effective mean for prediction of the structure response while avoiding measurement of the input excitation. ARMA models used in the algorithm enables it to avoid or reduce the time delay effect by predicting the structure response a few steps ahead. Being a closed loop control, the algorithm is suitable for all structural control conditions and can be used in a single control mechanism for vibration control of tall buildings against wind, earthquake or other random dynamic loads. Consequently the standby time is less than that for existing ARMA based algorithms devised only for earthquakes. This makes the control mechanism more reliable. The proposed algorithm utilizes and combines two different mathematical models. First model is an ARMA model representing the environment and the structure as a single system subjected to the unknown random excitation and the second model is a linear SDOF system which represents the structure subjected to a known past history of the applied control force only. The principle of superposition is then used to combine the results of these two models to predict the total response of the structure as a function of the control force. By using the predicted responses, the minimization of the performance index with respect to the control force is carried out for finding the optimal control force. As phase II, the proposed predictive control algorithm was extended to structures that are more complicated than linear SDOF structures. Initially, the algorithm was extended to linear MDOF structures. Although, the development of the algorithm for MDOF structures was relatively straightforward, during testing of the algorithm, it was found that prediction of the response by ARMA models can not be done as was done for SDOF case. In the SDOF case each of the two components of the state vector (i.e. displacement and velocity) was treated separately as an ARMA stochastic process. However, applying the same approach to each component of the state vector of a MDOF structure did not yield satisfactory results in prediction of the response. Considering the whole state vector as a multi-variable ARMA stochastic vector process yielded the desired results in predicting the response a few steps ahead. In the second part of this phase, the algorithm was extended to non-linear MDOF structures. Since the algorithm had been developed based on the principle of superposition, it was not possible to directly extend the algorithm to non-linear systems. Instead, some generalized response was defined. Then credibility of the ARMA models in predicting the generalized response was verified. Based on this credibility, the algorithm was extended for non-linear MDOF structures. Also in phase II, the stability of a controlled MDOF structure was proved. Both internal and external stability of the system were described and verified. In phase III, some problems of special interest, i.e. soil-structure interaction and control time delay, were investigated and compensated for in the framework of the developed predictive optimal control. In first part of phase III soil-structure interaction was studied. The half-space solution of the SSI effect leads to a frequency dependent representation of the structure-footing system, which is not fit for control purpose. Consequently an equivalent frequency independent system was proposed and defined as a system whose frequency response is equal to the original structure -footing system in the mean squares sense. This equivalent frequency independent system then was used in the control algorithm. In the second part of this phase, an analytical approach was used to tackle the time delay phenomenon in the context of the predictive algorithm described in previous chapters. A generalized performance index was defined considering time delay. Minimization of the generalized performance index resulted into a modified version of the algorithm in which time delay is compensated explicitly. Unlike the time delay compensation technique used in the previous phases of this investigation, which restricts time delay to be an integer multiplier of the sampling period, the modified algorithm allows time delay to be any non-negative number. However, the two approaches produce the same results if time delay is an integer multiplier of the sampling period. For evaluating the proposed algorithm and comparing it with other algorithms, several numerical simulations were carried during the research by using MATLAB and its toolboxes. A few interesting results of these simulations are enumerated below: ARM A models are able to predict the response of both linear and non-linear structures to random inputs such as earthquakes. The proposed predictive optimal control based on ARMA models has produced better results in the context of reducing velocity, displacement, total energy and operational cost compared to classic optimal control. Proposed active control algorithm is very effective in increasing safety and comfort. Its performance is not affected much by errors in the estimation of system parameters (e.g. damping). The effect of soil-structure interaction on the response to control force is considerable. Ignoring SSI will cause a significant change in the magnitude of the frequency response and a shift in the frequencies of the maximum response (resonant frequencies). Compensating the time delay effect by the modified version of the proposed algorithm will improve the performance of the control system in achieving the control goal and reduction of the structural response.
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Garcés, Francisco. "Identification of civil engineering structures." Phd thesis, Université Paris-Est, 2008. http://tel.archives-ouvertes.fr/tel-00470540.

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This thesis presents three methods to estimate and locate damage in framed buildings, simply-supported beams and cantilever structures, based on experimental measurements of their fundamental vibration modes. Numerical simulations and experimental essays were performed to study the effectiveness of each method. A numerical simulation of a multi-storey framed building, a real bridge and a real chimney were carried out to study the effectiveness of the methodologies in identifying damage. The influence of measurement errors and noise in the modal data was studied in all cases. To validate the experimental effectiveness of the damage estimation methods, static and dynamics tests were performed on a framed model, a simply supported beam, and a cantilever beam in order to determine the linear behavior changes due to the increase of the level of damage. The structural identification algorithms during this thesis were based on the knowledge type of the stiffness matrix or flexibility matrix to reduce the number of modal shapes and required coordinates for the structural assessment. The methods are intended to develop tools to produce a fast response and support for future decision procedures regarding to structures widely used, by excluding experimental information, thereby allowing a cost reduction of extensive and specific testing
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O'Mahony, Margaret Mary. "Recycling of materials in civil engineering." Thesis, University of Oxford, 1990. http://ora.ox.ac.uk/objects/uuid:25b3c922-4720-4424-a2c6-b19f00013148.

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Although Britain is relatively rich in natural aggregate reserves, planning approvals to develop new quarries are running at about half the rate of aggregate extraction. The use of secondary materials, such as recycled aggregate, might not create a major course of aggregate but if secondary material were used in less demanding situations, the quantity of natural aggregate required by the construction industry would be reduced. This dissertation reports mainly on laboratory tests conducted on crushed concrete and demolition debris to examine the potential use of these materials in new construction. Standard aggregate tests were conducted on the materials to check their compliance with the Specification for Highway Works (1986), particularly for use as aggregate in road sub-base layers. A more detailed examination of the aggregates was conducted with regard to CBR, shear strength and frost susceptibility where the influences of moisture content, density and particle packing on these properties were investigated. One part of the study involved examining the use of recycled aggregate as the coarse aggregate fraction in new concrete. An analysis of the shear strength data was conducted using the dilatancy index defined by Bolton (1986). From the frost susceptibility results, it was concluded that further work would be required in this area to determine the main factors which influence the frost heave of recycled aggregates. The recycled aggregate concrete compared well with the natural aggregate concrete and appeared to be of superior quality than that produced in other research. During the study, it became evident that the recycled aggregates could perform as well as limestone in most cases and therefore could be considered for many potential uses. Some recommendations are presented at the end of this dissertation for the development of a standard on recycled materials which would help to promote the use of recycled aggregates in the construction industry in Britain.
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Saliba, Nabil E. "A quantitative approach to structural forensic engineering /." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=82630.

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Structural forensic engineering is a topic that has traditionally been approached in a deterministic manner. This thesis explores the use of probabilistic procedures as a tool to obtain more objective and realistic results in forensic investigations. The first goal of the thesis is the identification of the most probable cause of a structural failure using probabilistic procedures. The second goal is to develop a procedure to qualify forensic engineers and experts according to their qualifications.
In the first part, the basic qualifications required for a forensic engineer or expert are compiled in a checklist and attributed individual scores, the sum of which qualifies a candidate to act as a forensic engineer or expert. The proposed qualification and scoring checklist is then validated through a survey conducted among professionals with forensic engineering exposures.
The second part quantifies failure modes in terms of their likelihood. The proposed methodology uses a-priori failure probabilities from historic data, elicits forensic engineering experts for subjective failure probabilities, calculates the updated posterior failure probabilities, and identifies the failure cause corresponding to the highest posterior probability as the most plausible cause of failure.
The proposed methodology is supported by a thorough literature review of forensic engineering procedures, a classification of structural failure causes, and expert opinion elicitation and aggregation methods.
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9

Uwizerimana, Salome. "Structural Modeling and Dynamic Analysis of Nuclear Power Plant Structures." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1449489161.

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Deacon, M. "Distributed Collaboration: Engineering Practice Requirements." Thesis, Linkt to the online version, 2007. http://hdl.handle.net/10019/755.

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Books on the topic "Civil and structural engineering"

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1949-, Addis William, ed. Structural and civil engineering design. Aldershot, Hampshire: Ashgate, 1999.

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Chen, Hua-Peng, and Yi-Qing Ni. Structural Health Monitoring of Large Civil Engineering Structures. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119166641.

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Alan, Williams. Civil & structural engineering: Design of reinforced concrete structures. Chicago, IL: Kaplan AEC Education, 2004.

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J, Francis A. Introducing structures: Civil and structural engineering, building and architecture. Chichester, West Sussex, England: E. Horwood, 1989.

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Introducing structures: Civil and structural engineering, building, and architecture. Chichester, West Sussex, England: E. Horwood, 1989.

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Topping, B. H. V., and Y. Tsompanakis, eds. Civil and Structural Engineering Computational Technology. Stirlingshire, UK: Saxe-Coburg Publications, 2011. http://dx.doi.org/10.4203/csets.28.

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Tsompanakis, Y., P. Iványi, and B. H. V. Topping, eds. Civil and Structural Engineering Computational Methods. Stirlingshire, UK: Saxe-Coburg Publications, 2013. http://dx.doi.org/10.4203/csets.32.

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University of Bradford. Postgraduate School of Civil and Structural Engineering. and University of Bradford. Undergraduate School of Civil and Structural Engineering., eds. Civil & structural engineering: ICE moderation 1985. Bradford: University of Bradford, 1985.

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Topping, B. H. V. 1952-, Leeming M. B, and Mouchel Centenary Conference on Innovation in Civil and Structural Engineering (1997 : Cambridge, England), eds. Innovation in civil and structural engineering. Edinburgh: Civil-Comp Press, 1997.

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Garg, Ankit, Bingxiang Yuan, and Yu Zhang. Structural Seismic and Civil Engineering Research. London: CRC Press, 2023. http://dx.doi.org/10.1201/9781003384342.

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Book chapters on the topic "Civil and structural engineering"

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Wharton, William, Shaun Metcalfe, and Geoff C. Platts. "Civil and structural engineering." In Broadcast Transmission Engineering Practice, 175–90. London: Routledge, 2023. http://dx.doi.org/10.4324/9781032622521-8.

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Raji, Jofina Elsa, and N. Senthil Kumar. "Structural Analysis of Heritage Timber Structure." In Lecture Notes in Civil Engineering, 327–39. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8496-8_41.

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Domke, H. "Survey, Advantages and Restraints of ADC in Civil Engineering." In Structural Control, 172–84. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3525-9_11.

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Kala, Zdeněk, and Libor Puklický. "Variance-Based Methods for Sensitivity Analysis in Civil Engineering." In Computational Structural Engineering, 991–97. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2822-8_111.

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Jose, Anitta, Rajesh P. Nair, B. Sanoob, and Jose Paul. "Structural Optimisation of Helideck Structure Using FEM." In Lecture Notes in Civil Engineering, 505–12. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26365-2_47.

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Grierson, Donald E. "Design Optimization of Civil Engineering Structures: A Retrospective." In Progress in Structural Engineering, 323–38. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3616-7_22.

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Degertekin, S. O., and Zong Woo Geem. "Metaheuristic Optimization in Structural Engineering." In Metaheuristics and Optimization in Civil Engineering, 75–93. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26245-1_4.

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Custódio, João. "Structural Adhesives." In Materials for Construction and Civil Engineering, 717–71. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08236-3_16.

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Brown, Colin B. "Civil Engineering Optimizing and Satisficing." In Optimization and Artificial Intelligence in Civil and Structural Engineering, 33–41. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-017-2490-6_3.

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Templeman, Andrew B. "Entropy and Civil Engineering Optimization." In Optimization and Artificial Intelligence in Civil and Structural Engineering, 87–105. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-017-2490-6_7.

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Conference papers on the topic "Civil and structural engineering"

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Szmit, Robert, and Joanna Chrzaszcz. "Structural Bionic Systems in Civil Engineering." In 2018 Baltic Geodetic Congress (BGC Geomatics). IEEE, 2018. http://dx.doi.org/10.1109/bgc-geomatics.2018.00066.

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Kicinger, Rafal, Tomasz Arciszewski, and Kenneth De Jong. "Generative Representations in Structural Engineering." In International Conference on Computing in Civil Engineering 2005. Reston, VA: American Society of Civil Engineers, 2005. http://dx.doi.org/10.1061/40794(179)57.

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Holschemacer, Klaus, and Ulrike Quapp. "Regulatory Control Over Civil And Structural Engineering Education." In The Seventh International Structural Engineering and Construction Conference. Singapore: Research Publishing Services, 2013. http://dx.doi.org/10.3850/978-981-07-5354-2_epe-9-339.

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Kravanja, Stojan, and Tomaž Žula. "Cost Optimization Of Structures In Civil Engineering." In The Seventh International Structural Engineering and Construction Conference. Singapore: Research Publishing Services, 2013. http://dx.doi.org/10.3850/978-981-07-5354-2_st-98-291.

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Ereiz, Suzana, and Ivan Duvnjak. "Hybrid model updating based on structural health monitoring in structural dynamics." In 6th Symposium on Doctoral Studies in Civil Engineering. University of Zagreb Faculty of Civil Engineering, 2019. http://dx.doi.org/10.5592/co/phdsym.2020.10.

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S, MOHAMMAD. "Structural Parameters Uncertainties Effect on Structural Responses." In Fifth International Conference On Advances in Civil and Structural Engineering - CSE 2016. Institute of Research Engineers and Doctors, 2016. http://dx.doi.org/10.15224/978-1-63248-088-0-27.

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Shaikh, Mohammad Farhan, Raana Pathak, and Ankur Pandey. "Forensic structural engineering an overview." In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SUSTAINABLE MATERIALS AND STRUCTURES FOR CIVIL INFRASTRUCTURES (SMSCI2019). AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5127130.

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Nawari, N. "Standardization of Structural BIM." In International Workshop on Computing in Civil Engineering 2011. Reston, VA: American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41182(416)50.

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Korkmaz, Armagan, and Peggy A. Johnson. "Probabilistic Seismic Structural Assessment." 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)37.

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Kong, Lingqiang. "Fuzzy Control Algorithm of Structural Vibration in Civil Engineering." In 2021 International Wireless Communications and Mobile Computing (IWCMC). IEEE, 2021. http://dx.doi.org/10.1109/iwcmc51323.2021.9498972.

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Reports on the topic "Civil and structural engineering"

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CORPS OF ENGINEERS WASHINGTON DC. Engineering and Design: Reporting of Evidence of Distress of Civil Works Structures. Fort Belvoir, VA: Defense Technical Information Center, March 1996. http://dx.doi.org/10.21236/ada404506.

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CORPS OF ENGINEERS WASHINGTON DC. Engineering and Design: Periodic Inspection and Continuing Evaluation of Completed Civil Works Structures. Fort Belvoir, VA: Defense Technical Information Center, February 1995. http://dx.doi.org/10.21236/ada404505.

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Scott, Dylan, Stephanie Wood, Brian Green, and Bradford Songer. Suggested updates for the inclusion of guidance on ultra-high performance concrete to USACE Engineering Manual 1110-2-2000, Standard Practice for Concrete for Civil Works Structures. Engineer Research and Development Center (U.S.), March 2023. http://dx.doi.org/10.21079/11681/46597.

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Ultra-high performance concrete (UHPC) is a relatively modern class of concrete with properties that include very high compressive strengths, increased tensile strengths, very low permeability, and superior durability compared to conventional, normal-strength concrete. As research of this material continues to progress, its applications under both military and civil works categories expand. However, mixture and structural design guidance using UHPC is limited, particularly in the United States. This special report provides an overview of UHPC as initial guidance for the US Army Corps of Engineers (USACE) so that the material may be more easily utilized in civil works infrastructure. The information contained in this report is based on years of experience researching and developing UHPC at the US Army Engineer Research and Development Center (ERDC) and is intended to be a basis for the incorporation of this material class into USACE Engineer Manual (EM) 1110-2-2000, Standard Practice for Concrete for Civil Works Structures, when it is next updated.
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CORPS OF ENGINEERS WASHINGTON DC. Engineering and Design: Civil Works Cost Engineering. Fort Belvoir, VA: Defense Technical Information Center, March 1994. http://dx.doi.org/10.21236/ada404118.

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Ayoul-Guilmard, Q., S. Ganesh, M. Nuñez, R. Tosi, F. Nobile, R. Rossi, and C. Soriano. D5.3 Report on theoretical work to allow the use of MLMC with adaptive mesh refinement. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.2.002.

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This documents describes several studies undertaken to assess the applicability of MultiLevel Monte Carlo (MLMC) methods to problems of interest; namely in turbulent fluid flow over civil engineering structures. Several numerical experiments are presented wherein the convergence of quantities of interest with mesh parameters are studied at different Reynolds’ numbers and geometries. It was found that MLMC methods could be used successfully for low Reynolds’ number flows when combined with appropriate Adaptive Mesh Refinement (AMR) strategies. However, the hypotheses for optimal MLMC performance were found to not be satisfied at higher turbulent Reynolds’ numbers despite the use of AMR strategies. Recommendations are made for future research directions based on these studies. A tentative outline for an MLMC algorithm with adapted meshes is made, as well as recommendations for alternatives to MLMC methods for cases where the underlying assumptions for optimal MLMC performance are not satisfied.
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Nadro, Mikailu. Artificial Intelligence in Civil Engineering. ResearchHub Technologies, Inc., January 2024. http://dx.doi.org/10.55277/researchhub.a6axlwn6.

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Turner, Howard, Francelina A. Neto, and Edward Hohmann. Visualization and Animation in Civil Engineering. Fort Belvoir, VA: Defense Technical Information Center, December 2002. http://dx.doi.org/10.21236/ada409376.

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Turner, Howard, Francelina A. Neto, and Edward C. Hohmann. Visualization and Animation in Civil Engineering. Fort Belvoir, VA: Defense Technical Information Center, September 2002. http://dx.doi.org/10.21236/ada410160.

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Eulberg, Del, Teresa Hood, Jack A. Blalock, Anne M. Haverhals, Melanie DiAntonio, Darren Gibbs, and Mark O. Hunt. Transforming Civil Engineering. Air Force Civil Engineer, Volume 15, Number 1, 2007. Fort Belvoir, VA: Defense Technical Information Center, January 2007. http://dx.doi.org/10.21236/ada496559.

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Bray, Jonathan, Ross Boulanger, Misko Cubrinovski, Kohji Tokimatsu, Steven Kramer, Thomas O'Rourke, Ellen Rathje, Russell Green, Peter Robertson, and Christine Beyzaei. U.S.—New Zealand— Japan International Workshop, Liquefaction-Induced Ground Movement Effects, University of California, Berkeley, California, 2-4 November 2016. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, March 2017. http://dx.doi.org/10.55461/gzzx9906.

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There is much to learn from the recent New Zealand and Japan earthquakes. These earthquakes produced differing levels of liquefaction-induced ground movements that damaged buildings, bridges, and buried utilities. Along with the often spectacular observations of infrastructure damage, there were many cases where well-built facilities located in areas of liquefaction-induced ground failure were not damaged. Researchers are working on characterizing and learning from these observations of both poor and good performance. The “Liquefaction-Induced Ground Movements Effects” workshop provided an opportunity to take advantage of recent research investments following these earthquake events to develop a path forward for an integrated understanding of how infrastructure performs with various levels of liquefaction. Fifty-five researchers in the field, two-thirds from the U.S. and one-third from New Zealand and Japan, convened in Berkeley, California, in November 2016. The objective of the workshop was to identify research thrusts offering the greatest potential for advancing our capabilities for understanding, evaluating, and mitigating the effects of liquefaction-induced ground movements on structures and lifelines. The workshop also advanced the development of younger researchers by identifying promising research opportunities and approaches, and promoting future collaborations among participants. During the workshop, participants identified five cross-cutting research priorities that need to be addressed to advance our scientific understanding of and engineering procedures for soil liquefaction effects during earthquakes. Accordingly, this report was organized to address five research themes: (1) case history data; (2) integrated site characterization; (3) numerical analysis; (4) challenging soils; and (5) effects and mitigation of liquefaction in the built environment and communities. These research themes provide an integrated approach toward transformative advances in addressing liquefaction hazards worldwide. The archival documentation of liquefaction case history datasets in electronic data repositories for use by the broader research community is critical to accelerating advances in liquefaction research. Many of the available liquefaction case history datasets are not fully documented, published, or shared. Developing and sharing well-documented liquefaction datasets reflect significant research efforts. Therefore, datasets should be published with a permanent DOI, with appropriate citation language for proper acknowledgment in publications that use the data. Integrated site characterization procedures that incorporate qualitative geologic information about the soil deposits at a site and the quantitative information from in situ and laboratory engineering tests of these soils are essential for quantifying and minimizing the uncertainties associated site characterization. Such information is vitally important to help identify potential failure modes and guide in situ testing. At the site scale, one potential way to do this is to use proxies for depositional environments. At the fabric and microstructure scale, the use of multiple in situ tests that induce different levels of strain should be used to characterize soil properties. The development of new in situ testing tools and methods that are more sensitive to soil fabric and microstructure should be continued. The development of robust, validated analytical procedures for evaluating the effects of liquefaction on civil infrastructure persists as a critical research topic. Robust validated analytical procedures would translate into more reliable evaluations of critical civil infrastructure iv performance, support the development of mechanics-based, practice-oriented engineering models, help eliminate suspected biases in our current engineering practices, and facilitate greater integration with structural, hydraulic, and wind engineering analysis capabilities for addressing multi-hazard problems. Effective collaboration across countries and disciplines is essential for developing analytical procedures that are robust across the full spectrum of geologic, infrastructure, and natural hazard loading conditions encountered in practice There are soils that are challenging to characterize, to model, and to evaluate, because their responses differ significantly from those of clean sands: they cannot be sampled and tested effectively using existing procedures, their properties cannot be estimated confidently using existing in situ testing methods, or constitutive models to describe their responses have not yet been developed or validated. Challenging soils include but are not limited to: interbedded soil deposits, intermediate (silty) soils, mine tailings, gravelly soils, crushable soils, aged soils, and cemented soils. New field and laboratory test procedures are required to characterize the responses of these materials to earthquake loadings, physical experiments are required to explore mechanisms, and new soil constitutive models tailored to describe the behavior of such soils are required. Well-documented case histories involving challenging soils where both the poor and good performance of engineered systems are documented are also of high priority. Characterizing and mitigating the effects of liquefaction on the built environment requires understanding its components and interactions as a system, including residential housing, commercial and industrial buildings, public buildings and facilities, and spatially distributed infrastructure, such as electric power, gas and liquid fuel, telecommunication, transportation, water supply, wastewater conveyance/treatment, and flood protection systems. Research to improve the characterization and mitigation of liquefaction effects on the built environment is essential for achieving resiliency. For example, the complex mechanisms of ground deformation caused by liquefaction and building response need to be clarified and the potential bias and dispersion in practice-oriented procedures for quantifying building response to liquefaction need to be quantified. Component-focused and system-performance research on lifeline response to liquefaction is required. Research on component behavior can be advanced by numerical simulations in combination with centrifuge and large-scale soil–structure interaction testing. System response requires advanced network analysis that accounts for the propagation of uncertainty in assessing the effects of liquefaction on large, geographically distributed systems. Lastly, research on liquefaction mitigation strategies, including aspects of ground improvement, structural modification, system health monitoring, and rapid recovery planning, is needed to identify the most effective, cost-efficient, and sustainable measures to improve the response and resiliency of the built environment.
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