Multistrategy Cooperation Particle Swarm Optimization for FEM Model Update of the Continuous Warren Truss Steel Railway Bridge
It is very difficult to obtain an accurate finite element method (FEM) model to further analyze structural mechanical properties. Therefore, as the main means of establishing accurate models, the model update has become a research hotspot in the dominion of bridge engineering. Particle swarm optimiz...
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| Format: | Article |
| Language: | English |
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Wiley
2023-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2023/9806200 |
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| _version_ | 1832548007278542848 |
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| author | Yiqiang Li Liming Zhou |
| author_facet | Yiqiang Li Liming Zhou |
| author_sort | Yiqiang Li |
| collection | DOAJ |
| description | It is very difficult to obtain an accurate finite element method (FEM) model to further analyze structural mechanical properties. Therefore, as the main means of establishing accurate models, the model update has become a research hotspot in the dominion of bridge engineering. Particle swarm optimization (PSO) has the characteristics of being easy to implement, but it is easy to fall into the local optimum. Therefore, multistrategy cooperation particle swarm optimization (MCPSO) that balances exploration and exploitation of particle swarm is proposed. This algorithm achieves the goal of balancing exploration and exploitation by adopting different combinations of particle swarm velocity update strategies in different iteration stages. The application effects of MCPSO in the FEM model update of the continuous Warren truss steel railway bridge are compared and analyzed, and the results show that the algorithm proposed in this paper outperforms the standard PSO (SPSO) algorithm. This paper provides a more effective algorithm for bridge model updates. |
| format | Article |
| id | doaj-art-afc7a0ea7926413fb2e6d8795955acd1 |
| institution | Kabale University |
| issn | 1687-8094 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-afc7a0ea7926413fb2e6d8795955acd12025-02-03T06:42:39ZengWileyAdvances in Civil Engineering1687-80942023-01-01202310.1155/2023/9806200Multistrategy Cooperation Particle Swarm Optimization for FEM Model Update of the Continuous Warren Truss Steel Railway BridgeYiqiang Li0Liming Zhou1School of Safety Engineering and Emergency ManagementSchool of Safety Engineering and Emergency ManagementIt is very difficult to obtain an accurate finite element method (FEM) model to further analyze structural mechanical properties. Therefore, as the main means of establishing accurate models, the model update has become a research hotspot in the dominion of bridge engineering. Particle swarm optimization (PSO) has the characteristics of being easy to implement, but it is easy to fall into the local optimum. Therefore, multistrategy cooperation particle swarm optimization (MCPSO) that balances exploration and exploitation of particle swarm is proposed. This algorithm achieves the goal of balancing exploration and exploitation by adopting different combinations of particle swarm velocity update strategies in different iteration stages. The application effects of MCPSO in the FEM model update of the continuous Warren truss steel railway bridge are compared and analyzed, and the results show that the algorithm proposed in this paper outperforms the standard PSO (SPSO) algorithm. This paper provides a more effective algorithm for bridge model updates.http://dx.doi.org/10.1155/2023/9806200 |
| spellingShingle | Yiqiang Li Liming Zhou Multistrategy Cooperation Particle Swarm Optimization for FEM Model Update of the Continuous Warren Truss Steel Railway Bridge Advances in Civil Engineering |
| title | Multistrategy Cooperation Particle Swarm Optimization for FEM Model Update of the Continuous Warren Truss Steel Railway Bridge |
| title_full | Multistrategy Cooperation Particle Swarm Optimization for FEM Model Update of the Continuous Warren Truss Steel Railway Bridge |
| title_fullStr | Multistrategy Cooperation Particle Swarm Optimization for FEM Model Update of the Continuous Warren Truss Steel Railway Bridge |
| title_full_unstemmed | Multistrategy Cooperation Particle Swarm Optimization for FEM Model Update of the Continuous Warren Truss Steel Railway Bridge |
| title_short | Multistrategy Cooperation Particle Swarm Optimization for FEM Model Update of the Continuous Warren Truss Steel Railway Bridge |
| title_sort | multistrategy cooperation particle swarm optimization for fem model update of the continuous warren truss steel railway bridge |
| url | http://dx.doi.org/10.1155/2023/9806200 |
| work_keys_str_mv | AT yiqiangli multistrategycooperationparticleswarmoptimizationforfemmodelupdateofthecontinuouswarrentrusssteelrailwaybridge AT limingzhou multistrategycooperationparticleswarmoptimizationforfemmodelupdateofthecontinuouswarrentrusssteelrailwaybridge |