Optimum Design of truss structures considering nonlinear analysis and dynamic loading using metaheuristic algorithms
Abstract The structural optimization of trusses is a complex problem that can be affected by many different factors. In this research, the authors investigated the optimization of trusses performing a geometric nonlinear analysis under dynamic loading, using two different metaheuristic algorithms: t...
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Fundação Gorceix
2025-01-01
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| Series: | REM: International Engineering Journal |
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| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2025000100203&lng=en&tlng=en |
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| _version_ | 1841538747309490176 |
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| author | Bárbara Scardini Domingues Marcos Antônio Campos Rodrigues Élcio Cassimiro Alves |
| author_facet | Bárbara Scardini Domingues Marcos Antônio Campos Rodrigues Élcio Cassimiro Alves |
| author_sort | Bárbara Scardini Domingues |
| collection | DOAJ |
| description | Abstract The structural optimization of trusses is a complex problem that can be affected by many different factors. In this research, the authors investigated the optimization of trusses performing a geometric nonlinear analysis under dynamic loading, using two different metaheuristic algorithms: the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The objective function was to minimize the weight of the structure. A number of benchmark test problems for spatial trusses considering a geometric nonlinear analysis, and dynamic loading are analyzed to verify the performance of the optimization algorithms. The results showed that both algorithms were able to find efficient solutions to the optimization problem and suggest that the choice of the optimization algorithm can have a significant impact on the performance of the optimization process. |
| format | Article |
| id | doaj-art-1de102f1b4f9478f96ab6e29f25e4d30 |
| institution | Kabale University |
| issn | 2448-167X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Fundação Gorceix |
| record_format | Article |
| series | REM: International Engineering Journal |
| spelling | doaj-art-1de102f1b4f9478f96ab6e29f25e4d302025-01-14T07:37:54ZengFundação GorceixREM: International Engineering Journal2448-167X2025-01-0178110.1590/0370-44672024780008Optimum Design of truss structures considering nonlinear analysis and dynamic loading using metaheuristic algorithmsBárbara Scardini Domingueshttps://orcid.org/0000-0001-9803-736XMarcos Antônio Campos Rodrigueshttps://orcid.org/0000-0003-2084-5820Élcio Cassimiro Alveshttps://orcid.org/0000-0001-6971-2645Abstract The structural optimization of trusses is a complex problem that can be affected by many different factors. In this research, the authors investigated the optimization of trusses performing a geometric nonlinear analysis under dynamic loading, using two different metaheuristic algorithms: the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The objective function was to minimize the weight of the structure. A number of benchmark test problems for spatial trusses considering a geometric nonlinear analysis, and dynamic loading are analyzed to verify the performance of the optimization algorithms. The results showed that both algorithms were able to find efficient solutions to the optimization problem and suggest that the choice of the optimization algorithm can have a significant impact on the performance of the optimization process.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2025000100203&lng=en&tlng=entrussesnonlinear geometric analysisdynamic loadingoptimizationmetaheuristics algorithms. |
| spellingShingle | Bárbara Scardini Domingues Marcos Antônio Campos Rodrigues Élcio Cassimiro Alves Optimum Design of truss structures considering nonlinear analysis and dynamic loading using metaheuristic algorithms REM: International Engineering Journal trusses nonlinear geometric analysis dynamic loading optimization metaheuristics algorithms. |
| title | Optimum Design of truss structures considering nonlinear analysis and dynamic loading using metaheuristic algorithms |
| title_full | Optimum Design of truss structures considering nonlinear analysis and dynamic loading using metaheuristic algorithms |
| title_fullStr | Optimum Design of truss structures considering nonlinear analysis and dynamic loading using metaheuristic algorithms |
| title_full_unstemmed | Optimum Design of truss structures considering nonlinear analysis and dynamic loading using metaheuristic algorithms |
| title_short | Optimum Design of truss structures considering nonlinear analysis and dynamic loading using metaheuristic algorithms |
| title_sort | optimum design of truss structures considering nonlinear analysis and dynamic loading using metaheuristic algorithms |
| topic | trusses nonlinear geometric analysis dynamic loading optimization metaheuristics algorithms. |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2025000100203&lng=en&tlng=en |
| work_keys_str_mv | AT barbarascardinidomingues optimumdesignoftrussstructuresconsideringnonlinearanalysisanddynamicloadingusingmetaheuristicalgorithms AT marcosantoniocamposrodrigues optimumdesignoftrussstructuresconsideringnonlinearanalysisanddynamicloadingusingmetaheuristicalgorithms AT elciocassimiroalves optimumdesignoftrussstructuresconsideringnonlinearanalysisanddynamicloadingusingmetaheuristicalgorithms |