Academic literature on the topic 'RC Slab Design Optimization'
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Journal articles on the topic "RC Slab Design Optimization"
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Dinesh, Kumar Suryavanshi, and Saleem Akhtar Dr. "Design Optimization of Reinforced Concrete Slabs Using Various Optimization Techniques." International Journal of Trend in Scientific Research and Development 3, no. 5 (2019): 45–58. https://doi.org/10.5281/zenodo.3589565.
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This paper presents Reinforced Concrete RC slab design optimization technique for finding the best design parameters that satisfy the project requirements both in terms of strength and serviceability criteria while keeping the overall construction cost to a minimum. In this paper four different types of RC slab design named as simply supported slab, one end continuous slab, both end continuous slab and cantilever slab are optimized using three different metaheuristic optimization algorithms named as Genetic Algorithms GA , Particle Swarm Optimization PSO and Gray Wolf Optimization GWO . The slabs with various end conditions are formulated according to the ACI code. The formulated problem contains three optimization variables, the thickness of the slab, steel bar diameter, and bar spacing while objective involves the minimization of overall cost of the structure which includes the cost of concrete, cost of reinforcement and the constraints involves the design requirement and ACI codes limit. The proposed method is developed using MATLAB. Finally, to validate the performance of the proposed algorithm the results are compared with the previously proposed algorithms. The comparison of results shows that the proposed method provides a significant improvement over the previously proposed algorithms. Dinesh Kumar Suryavanshi | Dr. Saleem Akhtar "Design Optimization of Reinforced Concrete Slabs Using Various Optimization Techniques" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd25231.pdf
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Rady, Mohammed, and Sameh Youssef Mahfouz. "Effects of Concrete Grades and Column Spacings on the Optimal Design of Reinforced Concrete Buildings." Materials 15, no. 12 (2022): 4290. http://dx.doi.org/10.3390/ma15124290.
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This paper investigates the effects of concrete grades and column spacings on the optimal design of reinforced concrete (RC) buildings. To this end, cost design optimization was performed for buildings with three different floor systems: flat plates (FS), flat slabs with drop panels (FSDP), and solid slabs (SS). The evolutionary method provided by the Excel solver was used as the optimization algorithm because it can deal with the complex nature of structural design problems. The objective function was the total construction cost of the building, including the costs of concrete, reinforcement bars, labor, and formwork, while still fulfilling the constraints of the Egyptian code of practice (ECP-18). The applicability of the presented algorithm was investigated in a design example, where the tuning of the evolutionary algorithm control parameters was sought, and the best parameters were investigated. Two case studies were employed to study the impacts of changing the column spacing and concrete grades on the optimal cost for each floor system. The results showed that low concrete grades, (i.e., characteristic strength up to 40 MPa) and column spacings up to 5 m are preferred in terms of direct construction costs for low-rise RC residential buildings.
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EMOTO, Hisao, Masuhiro BEPPU, Hideaki NAKAMURA, and Ayaho MIYAMOTO. "A PROPOSAL OF DPSO-BASED MULTIPLE OPTIMAL SOLUTION STRATEGY AND ITS APPLICATION TO OPTIMIZATION DESIGN OF RC SLAB UNDER IMPACT LOAD." Doboku Gakkai Ronbunshuu F 62, no. 3 (2006): 419–32. http://dx.doi.org/10.2208/jscejf.62.419.
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Alhusban, Mohammad, Mohannad Alhusban, and Ayah A. Alkhawaldeh. "The Efficiency of Using Machine Learning Techniques in Fiber-Reinforced-Polymer Applications in Structural Engineering." Sustainability 16, no. 1 (2023): 11. http://dx.doi.org/10.3390/su16010011.
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Sustainable solutions in the building construction industry have emerged as a new method for retrofitting applications in the last two decades. Fiber-reinforced polymers (FRPs) have garnered much attention among researchers for improving reinforced concrete (RC) structures. The existing design guidelines for FRP-strengthened RC members were developed using empirical methods that are based on specific databases, limiting the accuracy of the predicted results. Therefore, the use of innovative and efficient prediction tools to predict the behavior of FRP-strengthened RC members has become essential. During the last few years, efforts have been progressively focused on the use of machine learning (ML) as a feasible and effective technique for solving various structural engineering problems. Its capability to predict the behavior of complex nonlinear structural systems while considering a wide range of parameters offers a distinctive opportunity to make the behavior of RC members more predictable and accurate. This paper aims to evaluate the current state of using various ML algorithms in RC members strengthened with FRP to enable researchers to determine the capabilities of current solutions as well as to find research gaps to carry out more research to bridge revealed knowledge and practice gaps. Scopus databases were searched using predefined standards. The search revealed ninety-six articles published between 2016 and 2023. Consequently, these articles were analyzed for ML applications in the field of FRP retrofitting, including flexural and shear strengthening of RC beams, flexural strengthening of slabs, confinement and compressive strength of columns, and FRP bond strength. The results reveal that 32% of the reviewed studies focused on the application of ML techniques to the flexural and shear strengthening of RC beams, 32% on the confinement and compressive strength of columns, 6.5% on the flexural strengthening of slabs, 22% on FRP bond strength, 6.5% on materials, and 1% on beam–column joints. This research also revealed that the application of various ML algorithms has shown a significant improvement in resistance prediction accuracy as compared with the existing empirical solutions. Supervised learning techniques were the most favorable learning method due to their good generalization, interpretability, adaptability, and predictive efficiency. In addition, the selection of suitable ML algorithms and optimization techniques is found to be mainly dictated by the nature of the problem and the characteristics of the dataset. Nonetheless, selecting the most appropriate ML model and optimization algorithm for each specific application remains a challenge, given that each algorithm is developed with different principles and methodologies.
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Yuan, Ping, Yafu Cai, Guodong Wang, Xuhui Zhang, and Lizhao Dai. "Generation of Optimal FRP Layout for Strengthening Damaged Structures with a Local Displacement Constraint." Buildings 15, no. 5 (2025): 664. https://doi.org/10.3390/buildings15050664.
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Structural deflection is a critical factor used for evaluating the effectiveness of reinforcement. This study proposes a method for generating FRP layouts with a local displacement constraint to strengthen damaged structures. A local displacement constraint strategy is developed using the Lagrange multiplier method, integrating the constraint into the objective function and transforming the problem into an unconstrained optimization framework. The design sensitivity formula for strengthening damaged structures is derived based on this displacement-constrained strategy. Additionally, an automatic adjustment strategy of the Lagrange multiplier is given based on the bisection method. Finally, the effectiveness and applicability of the proposed method are illustrated through case studies on damaged RC beams, slabs, and arches. The FRP configurations under various constraints are discussed and compared with the results generated by the BESO method. Results demonstrate that the proposed method can effectively generate FRP configurations for damaged RC structures.
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Xiong, Zhixiang, Wei Wang, Yangyong Wu, and Wei Liu. "Sensitivity Analysis of Factors Influencing Blast-like Loading on Reinforced Concrete Slabs Based on Grey Correlation Degree." Materials 16, no. 16 (2023): 5678. http://dx.doi.org/10.3390/ma16165678.
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Blast simulators are capable of applying blast-like loading to components in a safe and controlled laboratory environment, overcoming the inherent shortcomings of blast testing in terms of data acquisition, test cycle time, and cost. In this paper, reasonable assumptions and refinements are made to the components and shape of the impact module, a key component of the blast simulator, to achieve diversity in simulated blast loading. By designing four rubber shapes, the importance of ellipsoid rubber as an elastic cushion for simulating blast loading was determined. In order to assess the effectiveness of this optimization, numerical calculations based on a calibrated finite element model were performed around four factors: flat rubber thickness, ellipsoid rubber thickness, impact velocity, and impact modulus mass. Additionally, a grey correlation sensitivity analysis was carried out to evaluate the effect of these factors on the impact loading on the reinforced concrete (RC) slab. The results indicate that peak pressure and impulse had opposite sensitivities to velocity and mass. Changes in ellipsoid rubber thickness had a more positive effect on the impact loading than flat rubber thickness. An in-depth study of the role of these influencing factors is important for the design and improvement of impact modules.
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Negrin, Iván, Moacir Kripka, and Víctor Yepes. "Metamodel-assisted design optimization of robust-to-progressive-collapse RC frame buildings considering the impact of floor slabs, infill walls, and SSI implementation." Engineering Structures 325 (February 2025): 119487. https://doi.org/10.1016/j.engstruct.2024.119487.
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Dinesh, Kumar Suryavanshi, and Saleem Akhtar Dr. "A Review on Civil Structural Optimization." International Journal of Trend in Scientific Research and Development 3, no. 5 (2019): 59–64. https://doi.org/10.5281/zenodo.3589571.
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Reinforced Concrete RC slab is the key structural component and is used in houses to provide flat surfaces floors and ceilings . Concrete slabs are effective systems where putting columns interrupts the structures Audiences, parking lots, hotels, airports, etc. serviceability to cover the lengthy spans. From the economic point of view the total cost optimization of RC slabs is very important issue and must be the prime concern of structural optimization in near future. In recent past, metaheuristic optimization algorithms have been applied to many structural problems, and RC slabs are no exception as a result a number of articles on RC slabs optimization have been published. This paper presents firstly presents a brief overview of four type of slabs Simply Supported, One end Continuous, Both end Continuous, and Cantilever , then describes the optimization algorithms and finally presents a review of some of the recent literatures related to the RC slab optimization. Dinesh Kumar Suryavanshi | Dr. Saleem Akhtar "A Review on Civil Structural Optimization" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd25232.pdf
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Han, Zebin, Wenjun Qu, and Peng Zhu. "Research on Hybrid FRP–Steel-Reinforced Concrete Slabs under Blast Load." Buildings 13, no. 4 (2023): 1058. http://dx.doi.org/10.3390/buildings13041058.
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The service environment of civil air defense engineering structures is relatively harsh, and the corrosion of steel bars is the main reason for reducing the durability of concrete structures in civil air defense engineering. A hybrid FRP–steel-reinforced concrete (hybrid-RC) structure has excellent durability. Therefore, it is a good choice to apply hybrid-RC to civil air defense engineering structures. In order to study the blast resistance of hybrid-RC structures, close blast and contact blast experiments were carried out on hybrid-RC slabs, steel-reinforced concrete (SRC) slabs and GFRP-reinforced concrete (GRC) slabs. For the close blast experiment, the steel reinforcement in the SRC slab first entered the plasticity stage, whereas the GFRP reinforcement in the hybrid-RC slab was in the elastic stage under the close blast. Therefore, the capacity to dissipate energy through the vibration in the hybrid-RC slab was better than that of the SRC slab. The residual deformation in the hybrid-RC slab after the close blast experiment was smaller than that of the SRC slab. The Blast Recovery Index (BRI) was introduced to evaluate the recovery capacity of the concrete slab after the close blast, and damage assessment criteria for the hybrid-RC slabs were proposed according to the maximum support rotation θm and BRI. There was little difference in the size of the local damage in the hybrid-RC slab and the SRC slab under the contact blast. However, since the GFRP reinforcement was still in the elastic stage and the steel reinforcement was plastic after the contact blast, the ratio of the residual bearing capacity to the original bearing capacity in the hybrid-RC concrete slab would be larger than that of the SRC slab. The prediction formula for the top face diameter D and blasting depth L of the hybrid-RC slab was obtained through dimensionless analysis. This research can provide a reference for the anti-blast design of hybrid-RC slabs.
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Guo, Qing Sheng, and Qing Shan Yang. "Investigation on Steel Staggered-Truss System RC Slab." Advanced Materials Research 446-449 (January 2012): 49–53. http://dx.doi.org/10.4028/www.scientific.net/amr.446-449.49.
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For steel staggered-truss (SST) system, RC slabs are the main structure members to make the whole building work together beside to take the vertical load. There are openings in the RC slabs due to requirement of staircases、lift wells and other services, these openings will reduce the stiffness of RC slab and make stress concentration. Usually, the RC slab is designed under vertical load only, this will lead to the design defect and building calapse for SST structure. There are few research for SST RC slab are presented untill now. In the paper, based on two different 3D models considering or ignoring the stiffness of infilled walls (SIW), a numerical investigation is presented on the structural behaviors of the SST system utilizing the soft ware ETABS. As a finite element analysis method, the shell element is adopted for RC slab & infilled wall, the beam element is adopted for beam、colum and truss members. The structure is asymmetrical due to the SIW, it causes the torsional forces in the building and the extra stresses in the RC slabs, the additional reinforcement need to be provided to strengthen the high stress areas. Comparing with the results of response spectrum analysis under the combination with earth quake load, we make some conclusions, including the capacity of anti-seismic and the effect of the SIW for SST system RC slab，that could be a reference for SST structure design.
Dissertations / Theses on the topic "RC Slab Design Optimization"
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Kling, Oliver, and Nils Dahlman. "Parametric Optimization of Foundation Improvements with RC Slabs on Piles." Thesis, KTH, Betongbyggnad, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254168.
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Parametric design has proven to be a powerful tool for structural engineers to find innovativesolutions to complex problems more effectively compared to conventional methods. Theflexibility off parametric design is immense since all types of structures depend on a range ofparameters that can be isolated, controlled and altered.In this thesis a parametric model was built with the software Grasshopper to manage thedesign process of a common type of foundation improvement. The technique has beensuccessfully used by Tyréns AB on several 19th century buildings in Stockholm in the pastdecade. The buildings were settling due to decay of the original wooden piles. To stop furthersettlements steel piles are drilled from under the building down to the bedrock. In thebasement of the buildings new and thick reinforced concrete slabs are cast which are connectedto the ground walls with concrete corbels.The available area for the installation of these corbels, the minimum distances between thecorbels and the dimensions of each corbel are all contributing factors that limit the number ofpossible design configurations. The dimensions of the concrete corbels affect the maximumload capacity which will determine their quantity and position. The corbels have to carry thevarying line loads and point loads acting on the ground walls from the structure above.With the plug-in finite element software Karamba, reaction forces in each pile were calculatedwhich also affected the possible designs.A well-functioning and adaptable parametric model presented logical results where decreasingheight of the concrete slab was affecting the capacity of each corbel which in turn generated alarger number of corbels. The model offered both manual control and automatic optimizationwhere real time variations of loads and reactions were shown depending on the changingdesign.In the optimization process which was based on genetic algorithm a cost function to deal withthe numerous contributing parameters was designed.Verification of important results increased the confidence in the model in most cases but thelack of trust in the calculated moments of each shell element created limitations. The thesisdoes not include a complete finite element analysis of the structures generated by theparametric model. However, it presents a simple export process to the third party softwareFEM-Design for verification.The role of the model was therefore not to work as a complete solution but as a powerful andeasy-to-use design tool for the structural designer to get instant feedback of chosen corbelplacements. The model offered a simplified way of achieving more slender and economicstructures both financially as well as environmentally.Parametric design was shown to be successful for solving structural problems if the model wasbased on appropriate engineering judgements.
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Lindstrand, Klas, and Axel Simonsson. "Optimization Workflow for Flat Slab Systems : Using Parametric Design with Visual programming." Thesis, KTH, Mekanik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230892.
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The advancement of IT and technology has enabled the development of boundary breaking tools such as Parametric design and visual programming. Structural engineering has the potential to take the advantage of this development, by implementing visual programming which with the combination of optimization algorithms can explore design proposals. This opens up new possibilities to work closer with architects in the early stages of projects to create bolder architectural and structural designs. The task of the master thesis was to create a workflow using parametric design with visual programming and including an optimization algorithm. In the workflow, an optimization process should perform structural analysis and optimization operations to find suboptimal flat slab system designs. The idea was that the workflow should be implemented in the early stages of the structural design process, where an architectural model is used as a boundary to generate suboptimal flat slab systems based on user input. Thereafter, the different generated solutions need to be evaluated and verified by an engineer before proceeding further to the final design. The result obtained from the workflow was that an optimized flat slab system with column placements could be created through an optimization process with input data including geometry, loads and element properties. This led to an approach which exploited the capabilities of using parametric design and visual programming for structural design. This meant that, the user could alter the optimization process to narrow down the generated solutions to find the optimal flat slab system based on the requirements of the project. The results of the structural analysis in the workflow was not fully satisfactory, meaning it could not be used for final design without verification. The conclusion was that parametric design in combination with visual programming and optimization algorithms could generate multiple alternative designs. These alternatives could be used as inspiration for engineers to create new structural solutions in the early stages.<br>Framsteg inom IT och teknologi har möjliggjort utveckling av banbrytande verktyg som parametrisk design med visuell programmering. Konstruktörer har möjligheten att utnyttja denna utveckling genom att implementera visuell programmering, vilket i kombination med optimeringsalgoritmer kan generera alternativa konstruktionslösningar. Detta teknikskifte möjliggör ett närmare samarbete med arkitekter i tidiga skeden vilket kan resultera i mer vågade konstruktioner och arkitektur. Syftet med examensarbetet var att skapa ett arbetsflöde som utnyttjade parametrisk design och optimering i en visuell programmeringsmiljö som kunde utföra strukturanalys och optimering, vilket genererade optimala pelardäck med oväntade pelarplaceringar. Idén med detta var att arbetsflödet kunde implementeras i tidiga skeden med arkitekter, när den kan användas för att generera optimala pelardäck baserade på användarens indata. Därefter behöver de genererade lösningarna utvärderas och verifieras av en ingenjör, innan man fortsätter till nästa skede. Resultatet från arbetsflödet är att ett optimerat pelardäck med oväntade pelarplaceringar skapas genom en optimeringsprocess med indata innehållande geometri, laster, randvillkor och materialegenskaper. Detta arbetsflöde leder till ett angreppssätt som utnyttjar möjligheterna med parametrisk design och visuell programmering. Detta innebär att användaren kan påverka optimeringsprocessen för att smalna av resultatet för att hitta optimerade pelardäck baserade på projektets krav. Resultaten från strukturanalysen i arbetsflödet är inte helt tillförlitliga, vilket innebär att resultaten behöver verifieras. Sammanfattningsvis kan parametrisk design i kombination med visuell programmering och optimeringsalgoritmer skapa en mångfald av lösningar. Dessa alternativ kan inspirera ingenjörer att skapa nya konstruktionslösningar i tidiga skeden.
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Solat, Yavari Majid. "Slab Frame Bridges : Structural Optimization Considering Investment Cost and Environmental Impacts." Licentiate thesis, KTH, Bro- och stålbyggnad, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-202948.
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This research encompasses the automated design and structural optimization of reinforced concrete slab frame bridges, considering investment costs and environmental impacts. The most important feature of this work is that it focusses on realistic and complete models of slab frame bridges rather than on optimization of only individual members or sections of a bridge. The thesis consists of an extended summary of publications and three appended papers. In the first paper, using simple assumptions, the possibility of applying cost-optimization to the structural design of slab frame bridges was investigated. The results of the optimization of an existing constructed bridge showed the potential to reduce the investment cost of slab frame bridges. The procedure was further developed in the second paper. In this paper, automated design was integrated to a more refined cost-optimization methodology based on more detailed assumptions and including extra constructability factors. This procedure was then applied to a bridge under design, before its construction. From the point of view of sustainability, bridge design should not only consider criteria such as cost but also environmental performance. The third paper thus integrated life cycle assessment (LCA) with the design optimization procedure to perform environmental impact optimization of the same case study bridge as in the second paper. The results of investment cost and environmental impact optimization were then compared. The obtained results presented in the appended papers highlight the successful application of optimization techniques to the structural design of reinforced concrete slab frame bridges. Moreover, the results indicate that a multi-objective optimization that simultaneously considers both environmental impacts and investment cost is necessary in order to generate more sustainable designs. The presented methodology has been applied to the design process for a time-effective, sustainable, and optimal design of concrete slab frame bridges.<br><p>QC 20170316</p>
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Sajedi, Siavash. "RELIABILITY-BASED DESIGN OPTIMIZATION OF CORROSION MANAGEMENT STRATEGIES FOR REINFORCED CONCRETE STRUCTURES." University of Akron / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=akron1503333406583485.
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Thuresson, Sofia. "Parametric optimization of reinforced concrete slabs subjected to punching shear." Thesis, KTH, Betongbyggnad, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279466.
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The construction industry is currently developing and evolving towards more automated and optimized processes in the project design phase. One reason for this development is that computational power is becoming a more precise and accessible tool and its applications are multiplying daily. Complex structural engineering problems are typically time-consuming with large scale calculations, resulting in a limited number of evaluated solutions. Quality solutions are based on engineering experience, assumptions and previous knowledge of the subject.The use of parametric design within a structural design problem is a way of coping with complex solutions. Its methodology strips down each problem to basic solvable parameters, allowing the structure to be controlled and recombined to achieve an optimal solution.This thesis introduces the concept of parametric design and optimization in structural engineering practice, explaining how the software application works and presenting a case study carried out to evaluate the result. In this thesis a parametric model was built using the Dynamo software to handle a design process involving a common structural engineering problem. The structural problem investigated is a reinforced concrete slab supported by a centre column that is exposed to punching shear failure. The results provided are used for comparisons and as indicators of whether a more effective and better design has been achieved. Such indicators included less materials and therefore less financial cost and/or fewer environmental impacts, while maintaining the structural strength. A parametric model allows the user to easily modify and adapt any type of structure modification, making it the perfect tool to apply to an optimization process.The purpose of this thesis was to find a more effective way to solve a complex problem and to increase the number of solutions and evaluations of the problem compared to a more conventional method. The focus was to develop a parametric model of a reinforced concrete slab subjected to punching shear, which would be able to implement optimization in terms of time spent on the project and therefore also the cost of the structure and environmental impact.The result of this case study suggests a great potential for cost savings. The created parametric model proved in its current state to be a useful and helpful tool for the designer of reinforced concrete slab subjected to punching shear. The result showed several solutions that meet both the economical and the punching shear failure goals and which were optimized using the parametrical model. Many solutions were provided and evaluated beyond what could have been done in a project using a conventional method. For a structure of this type, a parametric strategy will help the engineer to achieve more optimal solutions.<br>Just nu utvecklas Byggbranschen mot mer automatiserade och optimerade processer i projektdesignfasen. Denna utveckling beror till stor del på teknikutveckling i form av bättre datorprogram och tillgänglighet för dessa. Traditionellt sett löses komplexa konstruktionsproblem med hjälp av tidskrävande och storskaliga beräkningar, vilka sedan resulterar i ett begränsat antal utvärderade lösningar. Kvalitets lösningar bygger då på teknisk erfarenhet, antaganden och tidigare kunskaper inom ämnet.Användning av parametrisk design inom ett konstruktionsproblem är ett sätt att hantera komplexa lösningar. Dess metod avgränsar varje problem ner till ett antal lösbara parametrar, vilket gör att strukturen kan kontrolleras och rekombineras för att uppnå en optimal lösning.Denna avhandling introducerar begreppet parametrisk design och optimering i konstruktionsteknik, den förklarar hur programvaran fungerar och presenterar en fallstudie som genomförts för att utvärdera resultatet. I denna avhandling byggdes en parametrisk modell med hjälp av programvaran Dynamo för att hantera en designprocess av ett vanligt konstruktionsproblem. Det strukturella problemet som undersökts är en armerad betongplatta som stöds av en mittpelare, utsatt för genomstansning. Resultaten används för att utvärdera om en bättre design med avseende på materialanvändning har uppnåtts. Minimering av materialanvändning anses vara en bra parameter att undersöka eftersom det ger lägre kostnader och/eller lägre miljöpåverkan, detta undersöks under förutsättning att konstruktionens hållfasthet bibehålls. En parametrisk modell gör det möjligt för användaren att enkelt modifiera en konstruktionslösning med avseende på olika parametrar. Detta gör det till det perfekta verktyget att tillämpa en optimeringsprocess på.Syftet med denna avhandling var att hitta ett mer effektivt sätt att lösa ett komplext problem och att multiplicera antalet lösningar och utvärderingar av problemet jämfört med en mer konventionell metod. Fokus var att utveckla en parametrisk modell av en armerad betongplatta utsatt för genomstansning, som kommer att kunna genomföra optimering med avseende på tid som spenderas på projektet och därmed också kostnaden för konstruktionen och miljöpåverkan.Resultatet av denna fallstudie tyder på att det finns en stor möjlighet till kostnadsbesparingar och anses därför vara ett mycket hjälpsamt verktyg för en konstruktör. Resultatet visade flera lösningar som uppfyllde de konstruktionsmässiga kraven samtidigt som de gav en lägre materialanvändning tack vare optimeringen. Många lösningar tillhandahölls och utvärderades utöver vad som kunde ha gjorts i ett projekt med en konventionell metod. En parametrisk strategi kommer att hjälpa ingenjören att optimera lösningen för en konstruktion av denna typ.
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Weiland, Silvio. "Interaktion von Betonstahl und textiler Bewehrung bei der Biegeverstärkung mit textilbewehrtem Beton." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2010. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-37944.
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Textilbewehrter Beton zur Verstärkung von Stahlbetonbauteilen ist neben den klassischen und etablierten Verfahren eine äußerst interessante Alternative, die die Vorteile der leichten Kohlenstofffaserklebeverstärkungen mit denen von Spritzbeton mit Bewehrung verbindet. Aus den theoretischen und experimentellen Untersuchungen in dieser Arbeit können wichtige Erkenntnisse zum gemeinsamen Tragverhalten von Betonstahl und textiler Bewehrung sowie zu den Auswirkungen der verbundbedingten Unterschiede abgeleitet werden. Mit den theoretischen Betrachtungen werden das gemeinsame Tragverhalten und der Einfluss des unterschiedlichen Verbundverhaltens auf die Zugkraftaufteilung gezeigt und qualifiziert. Die Behandlung der verbundbedingten Unterschiede bei gemischt mit Betonstahl und Textil bewehrten Zuggliedern ist analog dem Vorgehen bei gemischter Beton- und Spannstahlbewehrung bzw. Klebebewehrung mit Verbundbeiwerten darstellbar. Zur Ableitung entsprechender Kennwerte werden verschiedene Möglichkeiten diskutiert. Zudem wird eine vereinfachte Bemessung vorgeschlagen. Insgesamt sind die Ergebnisse ein wesentlicher Schritt auf dem Weg zur baupraktischen Anwendung von Textilbetonverstärkungen und ermutigen bereits zum umsichtigen Einsatz unter Beachtung der Sicherheitsaspekte. Noch offene Fragen und notwendiger Klärungsbedarf sollten die Wissbegier anregen und vertiefende Forschungsvorhaben und weitere experimentelle Untersuchungen ermöglichen<br>Textile reinforcement represents an excellent alternative to existing techniques for strengthening of concrete structures, combining the benefits of lightweight fiber reinforced polymer strengthening with those of shotcrete with reinforcement. The theoretical and experimental studies in this thesis provide essential insights into the common load bearing behaviour of reinforcing steel and textile reinforcements as well as on the impact of the different bond characteristics of both types of rein-forcement. With the theoretical investigations, the combined load bearing behaviour and the influence of the different bond characteristics on distribution of the forces could be shown and qualified. The inter-action of both reinforcement types, taking into account the different bond characteristics, can be represented by bond coefficients analogous to the approach to mixed steel and pre-stressing-steel reinforcements. So as to derive the appropriate parameters, several options were discussed. Moreover, a simplified approach to design a TRC-strengthening-layer was proposed. Overall, the results are an essential step towards the practical application of textile reinforced con-crete for the strengthening of concrete structures and should already be encouraging the prudent use while considering the necessary safety aspects. Remaining issues and necessary clarifications should stimulate curiosity and in-depth research projects and allow further experimental studies
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Melo, João Luís Alvernaz de. "Sigma-Delta Modulators with Passive RC Integrators: Theory, Design Methodology for Optimization and Silicon Results." Doctoral thesis, 2017. http://hdl.handle.net/10362/31869.
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In this Thesis, energy and area efficient techniques are discussed and a CT SDM,
with 27.5 fJ/conv.-step of energy efficiency, employing passive RC integrators is
presented. Between each passive RC integrator a simple differential pair is added,
as low-gain open-loop amplifier, and most of the loop gain is obtained in the
1-bit comparator. Nevertheless, the processing gain is limited by the comparator’s
noise due to the low voltage swing at the input of this building block. In order
to maximize the performance, and due to a large number of trade-offs, such
as the nonlinear behavior of the 1-bit quantizer that drastically affects the NTF
(specially with low input signals), the circuit has been designed with a systematic
design methodology, also proposed in this thesis based on a genetic algorithm
(GA). Moreover, and due to the trade-off between RC variations and loop stability,
the modulator is also optimized taking this undesired behavior in consideration,
avoiding the need for any self-calibration. The 65 nm CMOS SDM prototype
designed, implemented and experimentally evaluated during this research work,
occupies only 0.013 mm2, dissipates 256 mWfrom a 0.7 V supply, and it achieves
a peak SNDR of 69.1 dB in a 2 MHz bandwidth (BW). The dynamic range (DR)
reaches 76.2 dB, which corresponds to a Schreier figure-of-merit (FoMSchreier) of
175.1 dB. To the best of the author’s knowledge, the proposed modulator is the
most energy- and area-efficient designs published thus far1, considering SDMs with BWs larger than 50 kHz published at the two flagship conferences requiring
silicon demonstration, namely, IEEE ISSCC and IEEE Symposium on VLSI Circuits
[1].
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Weiland, Silvio. "Interaktion von Betonstahl und textiler Bewehrung bei der Biegeverstärkung mit textilbewehrtem Beton." Doctoral thesis, 2009. https://tud.qucosa.de/id/qucosa%3A25305.
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Textilbewehrter Beton zur Verstärkung von Stahlbetonbauteilen ist neben den klassischen und etablierten Verfahren eine äußerst interessante Alternative, die die Vorteile der leichten Kohlenstofffaserklebeverstärkungen mit denen von Spritzbeton mit Bewehrung verbindet. Aus den theoretischen und experimentellen Untersuchungen in dieser Arbeit können wichtige Erkenntnisse zum gemeinsamen Tragverhalten von Betonstahl und textiler Bewehrung sowie zu den Auswirkungen der verbundbedingten Unterschiede abgeleitet werden.
Mit den theoretischen Betrachtungen werden das gemeinsame Tragverhalten und der Einfluss des unterschiedlichen Verbundverhaltens auf die Zugkraftaufteilung gezeigt und qualifiziert. Die Behandlung der verbundbedingten Unterschiede bei gemischt mit Betonstahl und Textil bewehrten Zuggliedern ist analog dem Vorgehen bei gemischter Beton- und Spannstahlbewehrung bzw. Klebebewehrung mit Verbundbeiwerten darstellbar. Zur Ableitung entsprechender Kennwerte werden verschiedene Möglichkeiten diskutiert. Zudem wird eine vereinfachte Bemessung vorgeschlagen.
Insgesamt sind die Ergebnisse ein wesentlicher Schritt auf dem Weg zur baupraktischen Anwendung von Textilbetonverstärkungen und ermutigen bereits zum umsichtigen Einsatz unter Beachtung der Sicherheitsaspekte. Noch offene Fragen und notwendiger Klärungsbedarf sollten die Wissbegier anregen und vertiefende Forschungsvorhaben und weitere experimentelle Untersuchungen ermöglichen.<br>Textile reinforcement represents an excellent alternative to existing techniques for strengthening of concrete structures, combining the benefits of lightweight fiber reinforced polymer strengthening with those of shotcrete with reinforcement. The theoretical and experimental studies in this thesis provide essential insights into the common load bearing behaviour of reinforcing steel and textile reinforcements as well as on the impact of the different bond characteristics of both types of rein-forcement.
With the theoretical investigations, the combined load bearing behaviour and the influence of the different bond characteristics on distribution of the forces could be shown and qualified. The inter-action of both reinforcement types, taking into account the different bond characteristics, can be represented by bond coefficients analogous to the approach to mixed steel and pre-stressing-steel reinforcements. So as to derive the appropriate parameters, several options were discussed. Moreover, a simplified approach to design a TRC-strengthening-layer was proposed.
Overall, the results are an essential step towards the practical application of textile reinforced con-crete for the strengthening of concrete structures and should already be encouraging the prudent use while considering the necessary safety aspects. Remaining issues and necessary clarifications should stimulate curiosity and in-depth research projects and allow further experimental studies.
Book chapters on the topic "RC Slab Design Optimization"
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Bourahla, N., S. Tafraout, and Y. Bourahla. "Intelligent structural design in BIM platforms: Optimization of RC wall-slab systems." In ECPPM 2021 – eWork and eBusiness in Architecture, Engineering and Construction. CRC Press, 2021. http://dx.doi.org/10.1201/9781003191476-36.
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Mankabady, C. El, N. Salama, H. Tolba, K. Nassar, M. N. AbouZeid, and E. Y. Sayed-Ahmed. "RC flooring system recycling plastic bottles: New innovative RC waffle slab." In Current Perspectives and New Directions in Mechanics, Modelling and Design of Structural Systems. CRC Press, 2022. http://dx.doi.org/10.1201/9781003348443-205.
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El Mankabady, C., N. Salama, H. Tolba, K. Nassar, M. N. AbouZeid, and E. Y. Sayed-Ahmed. "RC flooring system recycling plastic bottles: New innovative RC waffle slab." In Current Perspectives and New Directions in Mechanics, Modelling and Design of Structural Systems. CRC Press, 2022. http://dx.doi.org/10.1201/9781003348450-205.
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Van Hentenryck, Pascal, and Laurent Michel. "The Steel Mill Slab Design Problem Revisited." In Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-68155-7_41.
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Aslay, Semi Emrah, Tayfun Dede, and Ravipudi Venkata Rao. "Cost and Design Optimization of a 2-Story RC Building." In Advanced Engineering Optimization Through Intelligent Techniques. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9285-8_20.
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Akbay Arama, Zülal, Aylin Ece Kayabekir, and Gebrail Bekdaş. "Sustainable Optimum Design of RC Retaining Walls: The Influence of Structural Material and Surrounding Soil Properties." In Advances in Structural Engineering—Optimization. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61848-3_10.
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Datta, G., A. K. Choudhary, and S. Bhattacharjya. "Adaptive Metamodel-Based Robust Design Optimization of RC Frame Under Stochastic Blast Load." In Reliability, Safety and Hazard Assessment for Risk-Based Technologies. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9008-1_30.
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Miccoli, Stefano, Roberto Guidotti, and Enrique Hernandez-Montes. "Graphic Statics for the Structural Design of RC Wall-and-Slab Spatial Systems. The Example of the Retirement Home in Giornico, Switzerland." In Lecture Notes in Civil Engineering. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37955-0_6.
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Camacho, Vitor, Nuno Horta, and Mário Lopes. "Multiobjective Optimization of Long Irregular RC Bridges’ Piers Subjected to Strong Motions and Definition of Classification Tree Surrogate Models." In Seismic Behaviour and Design of Irregular and Complex Civil Structures IV. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-83221-6_8.
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Poorahad Anzabi, Pooria, Mahmoud R. Shiravand, and Shima Mahboubi. "Machine Learning-Aided Prediction of Seismic Response of RC Bridge Piers Exposed to Chloride-Induced Corrosion." In Lecture Notes in Civil Engineering. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-69626-8_118.
Full textAbstract:
AbstractDifferent environmental issues such as carbonation and corrosion due to chloride threaten aging reinforced concrete (RC) bridges that are in service in areas highly prone to corrosion and earthquakes. Significant experimental and numerical efforts have been put into scrutinizing the effect of corrosion on nonlinear behavior of structural elements. With the rapid development of artificial intelligence, useful methods are now provided to allow for the assessment of such bridges without the drawbacks and limitations of the experimental and numerical methods. In this paper, four machine learning (ML) algorithms are employed; linear regression (LR), decision tree (DT), random forest (RF), and XGBoost for data fitting of the models, and Bayesian search is used for optimization of hyperparameters. Numerical models of RC piers with stochastic parameters defining geometry, loading, and materials are built, and the degradation due to corrosion is applied with a randomly determined level of corrosion. Then, the corroded models are nonlinearly analyzed with random ground motions scaled to design-based and maximum credible earthquake spectra, and maximum drift ratios are stored. Using the created database, different ML models are compared to find the most accurate one. R-squared, mean absolute error, mean squared error, and root mean squared error metrics are considered as the criteria for the selection of the most accurate model. LR model with R2 = 0.53, MAE = 0.0026, mean squared error (MSE) = 1.4 × 10−5, and root mean squared error (RMSE) = 0.0036 has the lowest accuracy while XGBoost with R2 = 0.8, MAE = 0.0015, MSE = 5 × 10−6, and RMSE = 0.0028 is the most accurate model. DT and RF models with R2 = 0.7 and R2 = 0.73, respectively, are in between.
Conference papers on the topic "RC Slab Design Optimization"
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Herniczek, Mark, Dustin Jee, Brian Sanders, and Daniel Feszty. "Rotor Blade Optimization and Flight Testing of a Small UAV Rotorcraft." In Vertical Flight Society 72nd Annual Forum & Technology Display. The Vertical Flight Society, 2016. http://dx.doi.org/10.4050/f-0072-2016-11569.
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Rotor blade optimization with blade airfoil Reynolds numbers between 100,000 and 500,000 - characteristic of radio controlled (RC) helicopters - was performed using Blade Element Momentum theory (BEMT) and demonstrated via flight tests. BEMT was used to test various airfoil profiles and rotor blade shapes using airfoil data from 2D Computational Fluid Dynamics (CFD) simulations with Reynolds numbers representative of the blade elements. A blade design utilizing a cambered profile, taper and twist was developed for increased performance in hover. Selected blade designs were manufactured and flight tested on a Blade 600X RC helicopter (671 mm blade radius) to validate the theoretical results. The best of the improved blade designs increased the Figure of Merit (FM) by 20% and reduced power consumption by 22% while keeping the rotational frequency constant. Reducing the rotational frequency from 2,000 to 1,500 RPM resulted in an additional 55% increase in the FM and 35% reduction in the power consumption, while a one-bladed design further improved endurance and range performance of the helicopter by as much as 20%. The presented results could serve as useful guidelines to small Unmanned Aerial Vehicle (UAV) helicopter manufacturers and operators for increasing endurance, range and payload capabilities.
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Sajedi, Siavash, Qindan Huang, and Mohammadjavad Mohebbi. "Comparison of Corrosion Management Strategies of RC Structures Using a Reliability-Based Approach." In CORROSION 2017. NACE International, 2017. https://doi.org/10.5006/c2017-09572.
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Abstract Various strategies such as repair, rehabilitation, and corrosion resistant materials can be used for corrosion management of reinforced concrete (RC) structures. In this paper, the cost effectiveness of two different strategies of using two different rebar materials (that is traditional steel and glass fiber reinforced polymer, GFRP) for a concrete bridge beam is compared through a life-cycle cost analysis. While the GFRP reinforced beam has a much higher initial construction cost, the corrosion in the steel RC beam imposes periodic repair costs, which can increase the expenses in a long run. Particularly, patch-repair is adopted as a periodic repair method for the steel reinforced beam. For the GFRP reinforced beam, it is assumed that no corrosion related repair is needed; thus only the initial cost is considered as the life-cycle cost. In addition, a reliability-based design optimization technique is used for the optimum design of both beams through minimizing the initial costs, given a target reliability index. Both flexural strength and serviceability are considered in the analyses. The results of this study can be used for development of optimum cost-effective corrosion management strategies.
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Xu, Dong. "Towards intelligent cracking analysis and design for concrete bridges based on three-layer stress indicator system." In IABSE Symposium, Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches. International Association for Bridge and Structural Engineering (IABSE), 2025. https://doi.org/10.2749/tokyo.2025.0106.
Full textAbstract:
<p>A three-layer stress indicator system is proposed for analysis and design of concrete bridges with box section. The system includes in-plane and out-of-plane representative stresses of each slab of box section covering global and local effects. Although some of the indicators were already specified in the codes for decades, they were not complete, leading to deficiencies in the cracking analysis of concrete bridge structures. The indicator system can establish an intelligent road map for cracking analysis: to match cracks with the system to obtain relevant stress indicators, to determine the load cases that contribute the most to those stress indicators from refined analysis model. The load cases include deadload, live load, concrete creep and shrinkage, prestressing, thermal effect etc. The intelligent workflow will help engineers to know which load cases are the most unfavourable and to judge the most possible causes of cracks.</p><p>The proposed stress indicator system can be applied for obtaining optimal design for prestressed concrete bridges. Traditional design processes are often empirical and iterative, leading to diversified results which are usually not optimal, even though they meet the requirements in the specifications. Current research on optimization predominantly focuses on economic objectives, lacking comprehensive consideration of structural performance. An intelligent design method that integrates the stress indicators with machine learning is proposed. The objective function of this method combines stress distribution and cost, thereby achieving designs with both economic efficiency and favourable stress distribution. By employing a machine learning model to replace multiple rounds of computationally expensive FEA, the method enhances the optimal process and design efficiency.</p>
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Feroskhan, Mir, Xiaoqiang Lu, James Wang, Eden Lee, and Gregory Khoo. "Comparing Different Pilot Control Schemes for eVTOL and Powered-Lift Aircraft." In Vertical Flight Society 81st Annual Forum and Technology Display. The Vertical Flight Society, 2025. https://doi.org/10.4050/f-0081-2025-171.
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This paper presents insights into a comparative approach to down-select on the most suitable pilot control schemes for eVTOL and powered-lift aircraft. The investigation examines three main areas: (1) experimental flight test performance, (2) flight control analysis, and (3) Human-Machine Interface (HMI) factors. Experiments were conducted to evaluate how various inceptor control schemes were perceived by people of various experience levels, ranging from manned aviation pilots with experience in flying F-16 jets, AH-64D helicopters and high-performance turboprop trainers, to unmanned aviation pilots of various backgrounds, such as with remote control (RC) rotorcraft and RC fixed-wing aircraft, and finally to participants with zero experience with either of these. In this experimental surveying study, all participants were briefed on a standardized mission profile and tasked to fly a VTOL drone and a computer based flight simulator using various flight control schemes. Videos were recorded for each test and reviewed for in-depth flight performance and controls scoring and analysis. At the end, feedback on key Human Machine Interface (HMI) factors for each flight control method is obtained. These results in totality provided insights, strengths and weaknesses for each flight control scheme. Upon identification of the most optimal control methodology, a novel energy-based control method to unify both multirotor drone and fixed wing aircraft control logics was developed, future testing will involve incorporating the 3+1 control inceptor scheme with the energy-based control method for further testing and optimization in a simulation environment. The goal of this study is providing a design framework to help eVTOL and powered-lift aircraft designers optimize their pilot control methodology; to become more instinctive, easier to operate, safer and more cost-effective to train new eVTOL and powered-lift pilots and operators.
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Beppu, M., H. Emoto, H. Nakamura, and A. Miyamoto. "Optimization design of a RC slab under impact load using DPSO-based multiple optimal solutions." In STRUCTURES UNDER SHOCK AND IMPACT 2006. WIT Press, 2006. http://dx.doi.org/10.2495/su060301.
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Öztürk, Hasan Tahsin, and Nurcan Öztürk. "Performance of Ch-SAMP-Rao algorithm on RC slab bridge superstructure CO2 emission optimization." In 4th International Civil Engineering & Architecture Conference. Golden Light Publishing, 2025. https://doi.org/10.31462/icearc2025_ce_sme_566.
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Stewart, Mark G. "Optimization of Durability Design Specifications for RC Structures." In Structures Congress 2000. American Society of Civil Engineers, 2000. http://dx.doi.org/10.1061/40492(2000)79.
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Abu Bakar, Nabilah, Dawood Al Jubori, Noor Azline Mohd. Nasir, and Nor Azizi Safiee. "DESIGN OPTIMIZATION OF RC STRUCTURE UTILIZING BLENDED CONCRETE." In Sixth International Conference on Sustainable Construction Materials and Technologies. Coventry University, 2024. http://dx.doi.org/10.18552/2024/scmt/336.
Full textAbstract:
The utilization of blended concrete in reinforced concrete (RC) design could significantly reduce the CO2 emission in construction. However, its usage imposes higher material costs which hampers its utilization in the design. This research develops a multi-objective optimization (MOO) algorithm that minimizes the cost and CO2 emission of RC beam design. Apart from the usual design parameters, this algorithm considers the strength and mix design of blended concrete containing fly ash and GGBS. The Pareto solutions were analysed and the optimal design was obtained using the TOPSIS method. It was found that the MOO algorithm could optimize the design of the RC beam by favouring the 70% GGBS concrete having lower strength between 20 to 32 MPa. The optimal solution was highly dependent on the weightage used between cost and CO2 emission. The MOO is very effective and should be used in the design to produce sustainable concrete at an optimal cost.
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Miyamoto, A., and H. Emoto. "Application of the island-genetic algorithm to optimal impact resistance design of a RC slab." In STRUCTURES UNDER SHOCK AND IMPACT 2006. WIT Press, 2006. http://dx.doi.org/10.2495/su060461.
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Sarkisian, Mark, Eric Long, Alessandro Beghini, et al. "Efficient Post-Tensioned Slab Design Informed Through Topology Optimization." In IABSE Congress, New York, New York 2019: The Evolving Metropolis. International Association for Bridge and Structural Engineering (IABSE), 2019. http://dx.doi.org/10.2749/newyork.2019.1043.
Full textAbstract:
<p>Post-tensioned (PT) flat-plate gravity framing systems are highly efficient and reduce embodied carbon, improve construction speed, and reduce seismic mass when compared to conventional reinforced concrete framing systems. While efficiency is especially apparent in multi-span applications with regular orthogonal support arrangement, single-span or irregular support applications are common in high-rise buildings.</p><p>A novel approach to determining PT tendon arrangements has been applied to several buildings informed by topology optimization results. Topology optimization is an optimization method which determines optimal load paths in a finite element continuum. By orienting PT tendons along the optimal load paths suggested by topology optimization, several applications have consistently demonstrated reductions in post-tensioned tendon quantities while the amount of mild reinforcement is maintained unchanged. Many of the observed tendon layouts do not follow traditional uniform/banded layouts. Also, the deflection performance is enhanced since tendons are placed in a manner consistent with the load demands.</p><p>This new design method has been applied to three buildings and coordinated with construction teams. This presentation will discuss the design procedure which was developed through construction documents as applied to three buildings.</p>
Reports on the topic "RC Slab Design Optimization"
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Yang, David, Kevin White, and Timothy Wood. Risk-Based Methodology for Structural Evaluation of Bridge-Sized Culverts. Portland State University, 2025. https://doi.org/10.15760/cee-reports.02.
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This report presents the results of the project sponsored by the Federal Highway Administration (FHWA), “Risk Based Methodology for Structural Evaluation of Bridge-Sized Culverts”. The goal of this project was to develop general methodology to (a) quantify uncertainty, especially live load uncertainty, unique to bridge-sized RC box culverts and (b) analyze and calibrate reliability of culverts rated under different rating loads. Over 344 combinations of culvert designs and backfill depths were analyzed based on the AASHTO Manual for Bridge Evaluation as well as the three-dimensional finite element models (FEMs) of the soil-culvert systems. For each combination, a wide range of vehicle loads was examined including axle groups detected in weight-in-motion (WIM) data, the HL93 design loads, the AASHTO legal loads, and the FAST Act emergency vehicles as surrogate loads. The methodology laid out in this project was illustrated with analyses on the top slab of culverts, primarily focusing on the positive bending moment at midspan.