A variable velocity strategy particle swarm optimization algorithm (VVSPSO) for damage assessment in structures
 Author
 Minh Hoang Le, Samir Khatir (UGent) , R. Venkata Rao, Magd Abdel Wahab (UGent) and Thanh Cuong Le
 Organization
 Abstract
 In this paper, for the first time, a variable velocity strategy particle swarm optimization (VVSPSO) is presented to solve the optimization problems ranging from numerical functions to realworld problems. VVSPSO introduces a new term added in the velocity updating process at each iteration. This new term is controlled by a reduction linear function, which allows VVSPSO to reach a faster convergence rate. At the same time, it also leads to enhance the accuracy level. In this way, the strategy of position updating in VVSPSO is more flexible than that of the original PSO. This strategy will support VVSPSO to improve the distance between the current step and the previous step and to expand the feasible search space around each particle. To illustrate the convergence rate and level of accuracy of VVSPSO, the original PSO and 4 wellknown optimization algorithms are employed to solve 23 classical benchmark functions. Then, an engineering design problem and experimental validation using a fourstorey steel frame are also presented to examine the reliability of VVSPSO for solving particular real applications. VVSPSO finally is applied to a real 3D reinforced concrete structure for the purpose of damage assessment. First, the modal assurance criterion (MAC) method, which considers the differences between the mode shapes, is combined with the RootMeanSquareError (RMSE) that registers the differences between frequencies at two states, e.g., damaged and undamaged structures, to determine the objective function. Then, VVSPSO is used to minimize the objective function, which accounts for variables related to stiffness reduction in elements. The presented results illustrate that VVSPSO can solve the optimization and structural damage assessment problems with very high accuracy and reliability.
 Keywords
 Computer Science Applications, General Engineering, Modelling and Simulation, Software, Intelligent algorithm, Vibrationbased damage identifications, Particle swarm optimization, Structural health monitoring, Structural damage detection, SAP2000 (OAPI), DIFFERENTIAL EVOLUTION, MODAL DATA, VIBRATION, IDENTIFICATION
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU8726347
 MLA
 Le, Minh Hoang, et al. “A Variable Velocity Strategy Particle Swarm Optimization Algorithm (VVSPSO) for Damage Assessment in Structures.” ENGINEERING WITH COMPUTERS, vol. 39, no. 2, 2023, pp. 1055–84, doi:10.1007/s00366021014512.
 APA
 Le, M. H., Khatir, S., Rao, R. V., Abdel Wahab, M., & Le, T. C. (2023). A variable velocity strategy particle swarm optimization algorithm (VVSPSO) for damage assessment in structures. ENGINEERING WITH COMPUTERS, 39(2), 1055–1084. https://doi.org/10.1007/s00366021014512
 Chicago authordate
 Le, Minh Hoang, Samir Khatir, R. Venkata Rao, Magd Abdel Wahab, and Thanh Cuong Le. 2023. “A Variable Velocity Strategy Particle Swarm Optimization Algorithm (VVSPSO) for Damage Assessment in Structures.” ENGINEERING WITH COMPUTERS 39 (2): 1055–84. https://doi.org/10.1007/s00366021014512.
 Chicago authordate (all authors)
 Le, Minh Hoang, Samir Khatir, R. Venkata Rao, Magd Abdel Wahab, and Thanh Cuong Le. 2023. “A Variable Velocity Strategy Particle Swarm Optimization Algorithm (VVSPSO) for Damage Assessment in Structures.” ENGINEERING WITH COMPUTERS 39 (2): 1055–1084. doi:10.1007/s00366021014512.
 Vancouver
 1.Le MH, Khatir S, Rao RV, Abdel Wahab M, Le TC. A variable velocity strategy particle swarm optimization algorithm (VVSPSO) for damage assessment in structures. ENGINEERING WITH COMPUTERS. 2023;39(2):1055–84.
 IEEE
 [1]M. H. Le, S. Khatir, R. V. Rao, M. Abdel Wahab, and T. C. Le, “A variable velocity strategy particle swarm optimization algorithm (VVSPSO) for damage assessment in structures,” ENGINEERING WITH COMPUTERS, vol. 39, no. 2, pp. 1055–1084, 2023.
@article{8726347, abstract = {{In this paper, for the first time, a variable velocity strategy particle swarm optimization (VVSPSO) is presented to solve the optimization problems ranging from numerical functions to realworld problems. VVSPSO introduces a new term added in the velocity updating process at each iteration. This new term is controlled by a reduction linear function, which allows VVSPSO to reach a faster convergence rate. At the same time, it also leads to enhance the accuracy level. In this way, the strategy of position updating in VVSPSO is more flexible than that of the original PSO. This strategy will support VVSPSO to improve the distance between the current step and the previous step and to expand the feasible search space around each particle. To illustrate the convergence rate and level of accuracy of VVSPSO, the original PSO and 4 wellknown optimization algorithms are employed to solve 23 classical benchmark functions. Then, an engineering design problem and experimental validation using a fourstorey steel frame are also presented to examine the reliability of VVSPSO for solving particular real applications. VVSPSO finally is applied to a real 3D reinforced concrete structure for the purpose of damage assessment. First, the modal assurance criterion (MAC) method, which considers the differences between the mode shapes, is combined with the RootMeanSquareError (RMSE) that registers the differences between frequencies at two states, e.g., damaged and undamaged structures, to determine the objective function. Then, VVSPSO is used to minimize the objective function, which accounts for variables related to stiffness reduction in elements. The presented results illustrate that VVSPSO can solve the optimization and structural damage assessment problems with very high accuracy and reliability.}}, author = {{Le, Minh Hoang and Khatir, Samir and Rao, R. Venkata and Abdel Wahab, Magd and Le, Thanh Cuong}}, issn = {{01770667}}, journal = {{ENGINEERING WITH COMPUTERS}}, keywords = {{Computer Science Applications,General Engineering,Modelling and Simulation,Software,Intelligent algorithm,Vibrationbased damage identifications,Particle swarm optimization,Structural health monitoring,Structural damage detection,SAP2000 (OAPI),DIFFERENTIAL EVOLUTION,MODAL DATA,VIBRATION,IDENTIFICATION}}, language = {{eng}}, number = {{2}}, pages = {{10551084}}, title = {{A variable velocity strategy particle swarm optimization algorithm (VVSPSO) for damage assessment in structures}}, url = {{http://doi.org/10.1007/s00366021014512}}, volume = {{39}}, year = {{2023}}, }
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