首页|Sparse Modal Decomposition Method Addressing Underdetermined Vor-tex-Induced Vibration Reconstruction Problem for Marine Risers

Sparse Modal Decomposition Method Addressing Underdetermined Vor-tex-Induced Vibration Reconstruction Problem for Marine Risers

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When investigating the vortex-induced vibration(VIV)of marine risers,extrapolating the dynamic response on the entire length based on limited sensor measurements is a crucial step in both laboratory experiments and fatigue moni-toring of real risers.The problem is conventionally solved using the modal decomposition method,based on the principle that the response can be approximated by a weighted sum of limited vibration modes.However,the method is not valid when the problem is underdetermined,i.e.,the number of unknown mode weights is more than the number of known measurements.This study proposed a sparse modal decomposition method based on the compressed sensing theory and the Compressive Sampling Matching Pursuit(CoSaMP)algorithm,exploiting the sparsity of VIV in the modal space.In the validation study based on high-order VIV experiment data,the proposed method successfully reconstructed the response using only seven acceleration measurements when the conventional methods failed.A pri-mary advantage of the proposed method is that it offers a completely data-driven approach for the underdetermined VIV reconstruction problem,which is more favorable than existing model-dependent solutions for many practical applications such as riser structural health monitoring.

motion reconstructionvortex-induced vibration(VIV)marine risermodal decomposition methodcompressed sensing

DU Zun-feng、ZHU Hai-ming、YU Jian-xing

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State Key Laboratory of Hydraulic Engineering Intelligent Construction and Operation,School of Civil Engineering,Tianjin University,Tianjin 300350,China

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaScience and Technology Development Plan Program of Tianjin Municipal Transportation Commission

51109158U21062232022-48

2024

中国海洋工程(英文版)
中国海洋学会

中国海洋工程(英文版)

CSTPCDEI
影响因子:0.338
ISSN:0890-5487
年,卷(期):2024.38(2)
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