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Z.-H. Zhang¹, W.-Y. He² and W.-X. Ren¹

¹College of Civil and Transportation Engineering Shenzhen University, China
²Department of Civil Engineering Hefei University of Technology, China

doi:10.4203/ccc.6.2.3

Z.-H. Zhang, W.-Y. He, W.-X. Ren, "Moving Force Identification based on Dictionary Learning", in P. Ivanyi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Seventeenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 6, Paper 2.3, 2023, doi:10.4203/ccc.6.2.3

Keywords: moving force identification, dictionary learning, double sparsity.

Abstract

This paper presents a moving force identification (MFI) approach based on dictionary learning (DL) with double sparsity. Firstly, the MFI equation is established, and a sparse dictionary model is designed. Then the sparse K-singular-value-decomposition (K-SVD) algorithm is employed for dictionary learning. Finally, the moving forces is identified via force dictionary and double sparse codes. Numerical example of a simply supported beam subjected to a moving force is used to verify the effectiveness of the proposed approach.

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Front Page Browse CCC CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Conferences ISSN 2753-3239 CCC: 6 PROCEEDINGS OF THE SEVENTEENTH INTERNATIONAL CONFERENCE ON CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING COMPUTING Edited by: P. Ivanyi, J. Kruis and B.H.V. Topping Paper 2.3 Moving Force Identification based on Dictionary Learning Z.-H. Zhang¹, W.-Y. He² and W.-X. Ren¹ ¹College of Civil and Transportation Engineering Shenzhen University, China ²Department of Civil Engineering Hefei University of Technology, China doi:10.4203/ccc.6.2.3 Full Bibliographic Reference for this paper Z.-H. Zhang, W.-Y. He, W.-X. Ren, "Moving Force Identification based on Dictionary Learning", in P. Ivanyi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Seventeenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 6, Paper 2.3, 2023, doi:10.4203/ccc.6.2.3 Keywords: moving force identification, dictionary learning, double sparsity. Abstract This paper presents a moving force identification (MFI) approach based on dictionary learning (DL) with double sparsity. Firstly, the MFI equation is established, and a sparse dictionary model is designed. Then the sparse K-singular-value-decomposition (K-SVD) algorithm is employed for dictionary learning. Finally, the moving forces is identified via force dictionary and double sparse codes. Numerical example of a simply supported beam subjected to a moving force is used to verify the effectiveness of the proposed approach. download the full-text of this paper (PDF, 8 pages, 344 Kb) go to the previous paper go to the next paper return to the table of contents return to the volume description
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