Model Updating for a Railway Bridge Using a Hybrid Optimization Algorithm Combined with Experimental Data

Tran-Ngoc, H.; Ho-Khac, H.; Le-Xuan, T.; Nguyen-Tran, Hieu; Roeck, Guido De; Bui-Tien, Thanh; Wahab, Magd Abdel

doi:10.1007/978-981-15-9121-1_2

Cited by 1 publication

(1 citation statement)

References 12 publications

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“…At present, researchers have developed some bridge structure model update methods [24][25][26][27], and the use of swarm intelligence algorithms to carry out bridge structure model update research is also one of the current research hotspots. Ho et al presented a multiphase model update approach to system identifcation of a real railway bridge using vibration test results [28].…”

Section: Introductionmentioning

confidence: 99%

Multistrategy Cooperation Particle Swarm Optimization for FEM Model Update of the Continuous Warren Truss Steel Railway Bridge

Zhou

2023

Advances in Civil Engineering

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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.

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Section: Introductionmentioning

confidence: 99%

Multistrategy Cooperation Particle Swarm Optimization for FEM Model Update of the Continuous Warren Truss Steel Railway Bridge

Zhou

2023

Advances in Civil Engineering

View full text Add to dashboard Cite

show abstract

Model Updating for a Railway Bridge Using a Hybrid Optimization Algorithm Combined with Experimental Data

Cited by 1 publication

References 12 publications

Multistrategy Cooperation Particle Swarm Optimization for FEM Model Update of the Continuous Warren Truss Steel Railway Bridge

Multistrategy Cooperation Particle Swarm Optimization for FEM Model Update of the Continuous Warren Truss Steel Railway Bridge

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