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A platform for research: civil engineering, architecture and urbanism
Jaya algorithm based optimum design of reinforced concrete retaining walls under dynamic loads
In this study, the optimum dimensioning of a reinforced concrete retaining wall that meets the safety conditions under static and dynamic loads in terms of cost has been performed using Jaya algorithm, which is one of the metaheuristic algorithms. In the optimization process, reinforced concrete design rules and ground stress, sliding and overturn tests have been determined as design constraints for the safe design of the retaining wall. While 5 cross-section dimensions of the retaining wall are defined as the design variable, the objective function is targeted as the total cost per unit length of the retaining wall. In the study, optimum results are also presented by examining the changes of the toe projection length of the retaining wall, which is one of the design variables, narrowing between 0.2-10 m. The design variables minimizing the objective function were found via Jaya algorithm that have single-phase. In addition to achieving optimum dimensioning results in terms of safety and cost with the optimization method used as a result of the reinforced concrete design made by applying the rules of the regulation on buildings to be constructed in earthquake zones, the change in cost in seismic and static conditions was examined.
Jaya algorithm based optimum design of reinforced concrete retaining walls under dynamic loads
In this study, the optimum dimensioning of a reinforced concrete retaining wall that meets the safety conditions under static and dynamic loads in terms of cost has been performed using Jaya algorithm, which is one of the metaheuristic algorithms. In the optimization process, reinforced concrete design rules and ground stress, sliding and overturn tests have been determined as design constraints for the safe design of the retaining wall. While 5 cross-section dimensions of the retaining wall are defined as the design variable, the objective function is targeted as the total cost per unit length of the retaining wall. In the study, optimum results are also presented by examining the changes of the toe projection length of the retaining wall, which is one of the design variables, narrowing between 0.2-10 m. The design variables minimizing the objective function were found via Jaya algorithm that have single-phase. In addition to achieving optimum dimensioning results in terms of safety and cost with the optimization method used as a result of the reinforced concrete design made by applying the rules of the regulation on buildings to be constructed in earthquake zones, the change in cost in seismic and static conditions was examined.
Jaya algorithm based optimum design of reinforced concrete retaining walls under dynamic loads
Eroğlu, Nur (author) / Aral, Sena (author) / Nigdeli, Sinan Melih (author) / Bekdaş, Gebrail (author)
2021-06-23
doi:10.20528/cjsmec.2021.02.002
Challenge Journal of Structural Mechanics; Vol 7, No 2 (2021); 64-70 ; 2149-8024
Article (Journal)
Electronic Resource
English
DDC:
690
Metaheuristic approaches for optimum design of cantilever reinforced concrete retaining walls
| BASE | 2017
Reinforced concrete retaining walls
| Engineering Index Backfile | 1909