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Design Optimization of Short Span Steel Bridges Using the Peloton Dynamics Optimization Algorithm
Many short span bridges can be designed using the Simplified method of analysis for longitudinal load effects prescribed in the CSA S6-19 Canadian Highway Bridge Design Code. The most common structural components used are a concrete slab combined with either prestressed concrete beams or composite steel girders. The most cost-efficient design depends on many parameters that the engineer cannot control. However, the engineer can control some aspect of the design like the material used, the number of girders, the thickness of the concrete slab, etc. These decisions, usually chosen beforehand, have a major effect on the final cost of the structure. With many possible design combinations, it is difficult to guarantee that the final design is the most economical one. Different metaheuristic optimization algorithms have been used to address engineering design problems with different degrees of success. For this study, a discrete variable optimization algorithm is used based on peloton dynamics that occur during bicycle racing, the Peloton Dynamics Optimization (PDO) algorithm. The objective of the design optimization problem is to minimize the mass composite steel girders of a single span bridge configuration subject to constraints imposed by the Canadian Highway Bridge Design Code (CSA S6-19). The optimization procedure used is based on the ultimate and serviceability limit state’s requirements prescribed in the S6 code. The algorithm optimizes the size of the structural plate elements of the steel girders. Results show the PDO algorithm can consistently find the optimum girder built from three steel plates by minimizing the total mass while satisfying all design criteria of CSA S6-19 code.
Design Optimization of Short Span Steel Bridges Using the Peloton Dynamics Optimization Algorithm
Many short span bridges can be designed using the Simplified method of analysis for longitudinal load effects prescribed in the CSA S6-19 Canadian Highway Bridge Design Code. The most common structural components used are a concrete slab combined with either prestressed concrete beams or composite steel girders. The most cost-efficient design depends on many parameters that the engineer cannot control. However, the engineer can control some aspect of the design like the material used, the number of girders, the thickness of the concrete slab, etc. These decisions, usually chosen beforehand, have a major effect on the final cost of the structure. With many possible design combinations, it is difficult to guarantee that the final design is the most economical one. Different metaheuristic optimization algorithms have been used to address engineering design problems with different degrees of success. For this study, a discrete variable optimization algorithm is used based on peloton dynamics that occur during bicycle racing, the Peloton Dynamics Optimization (PDO) algorithm. The objective of the design optimization problem is to minimize the mass composite steel girders of a single span bridge configuration subject to constraints imposed by the Canadian Highway Bridge Design Code (CSA S6-19). The optimization procedure used is based on the ultimate and serviceability limit state’s requirements prescribed in the S6 code. The algorithm optimizes the size of the structural plate elements of the steel girders. Results show the PDO algorithm can consistently find the optimum girder built from three steel plates by minimizing the total mass while satisfying all design criteria of CSA S6-19 code.
Design Optimization of Short Span Steel Bridges Using the Peloton Dynamics Optimization Algorithm
Lecture Notes in Civil Engineering
Desjardins, Serge (editor) / Poitras, Gérard J. (editor) / El Damatty, Ashraf (editor) / Elshaer, Ahmed (editor) / Poitras, Gérard J. (author) / Desjardins, Serge (author) / Doiron, Nikos (author)
Canadian Society of Civil Engineering Annual Conference ; 2023 ; Moncton, NB, Canada
Proceedings of the Canadian Society for Civil Engineering Annual Conference 2023, Volume 13 ; Chapter: 24 ; 301-312
2024-09-03
12 pages
Article/Chapter (Book)
Electronic Resource
English
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