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A. El-Bakari¹, A. Khamlichi², R. Dkiouak¹ and E. Jacquelin³

¹Mechanics and Civil Engineering Laboratory
Faculty of Sciences and Techniques, Tangier, Morocco
²Systems of communication and Detection Laboratory
Faculty of Sciences Mhannech, Tetouan, Morocco
³University of Lyon, IFSTTAR, LBMC, UMR_T9406
Bron, Université Lyon 1, Villeurbanne, France

doi:10.4203/ccp.102.180

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A. El-Bakari, A. Khamlichi, R. Dkiouak, E. Jacquelin, "Identifying Impact Location using the Particle Swarm Optimization Algorithm", in , (Editors), "Proceedings of the Fourteenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Stirlingshire, UK, Paper 180, 2013. doi:10.4203/ccp.102.180

Keywords: particle swarm optimization, identification, convergence, stability, finite element method, sensors.

Summary

In this paper, the focus is on the inverse problem regarding force localization in the case of a non punctual impact occurring on an elastic beam. Following the approach based on the reciprocity theorem to solve this problem, the impact location characteristics were determined using the particle swarm optimization algorithm. To eliminate numerical trouble due to the parasitic solutions resulting from the fixed boundary conditions, the fitness function was customized. Four different formulations of the fitness function were considered and their performance using three strain sensors were analyzed. This enabled the assessment of the best formulation to be used in the context of the impact force localization process based on the particle swarm optimization technique for this configuration of sensors.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 102 PROCEEDINGS OF THE FOURTEENTH INTERNATIONAL CONFERENCE ON CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING COMPUTING Edited by: Paper 180 Identifying Impact Location using the Particle Swarm Optimization Algorithm A. El-Bakari¹, A. Khamlichi², R. Dkiouak¹ and E. Jacquelin³ ¹Mechanics and Civil Engineering Laboratory Faculty of Sciences and Techniques, Tangier, Morocco ²Systems of communication and Detection Laboratory Faculty of Sciences Mhannech, Tetouan, Morocco ³University of Lyon, IFSTTAR, LBMC, UMR_T9406 Bron, Université Lyon 1, Villeurbanne, France doi:10.4203/ccp.102.180 purchase the full-text of this paper Full Bibliographic Reference for this paper A. El-Bakari, A. Khamlichi, R. Dkiouak, E. Jacquelin, "Identifying Impact Location using the Particle Swarm Optimization Algorithm", in , (Editors), "Proceedings of the Fourteenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Stirlingshire, UK, Paper 180, 2013. doi:10.4203/ccp.102.180 Keywords: particle swarm optimization, identification, convergence, stability, finite element method, sensors. Summary In this paper, the focus is on the inverse problem regarding force localization in the case of a non punctual impact occurring on an elastic beam. Following the approach based on the reciprocity theorem to solve this problem, the impact location characteristics were determined using the particle swarm optimization algorithm. To eliminate numerical trouble due to the parasitic solutions resulting from the fixed boundary conditions, the fitness function was customized. Four different formulations of the fitness function were considered and their performance using three strain sensors were analyzed. This enabled the assessment of the best formulation to be used in the context of the impact force localization process based on the particle swarm optimization technique for this configuration of sensors. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £65 +P&P)
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