Rock and Soil Mechanics ›› 2023, Vol. 44 ›› Issue (5): 1545-1556.doi: 10.16285/j.rsm.2022.0854

• Numerical Analysis • Previous Articles    

Probabilistic analysis of wave-induced seabed response based on stochastic finite element method

ZHU Bin1, 2, PEI Hua-fu3, YANG Qing3, LU Meng-meng2, WANG Tao2   

  1. 1. State Key Laboratory for Geomechanics and Deep Underground Engineering, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China; 2. School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China; 3. State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian, Liaoning 116024, China
  • Received:2022-06-07 Accepted:2022-10-25 Online:2023-05-09 Published:2023-05-03
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (52209150, 52178373), China Postdoctoral Science Foundation (2022M723403) and the Fundamental Research Funds for the Central Universities (2022QN1026).

Abstract: Wave-induced seabed response is a research hotspot in the field of geotechnical engineering. The wave-induced seabed liquefaction is the main reason for the instability of seabed and marine structures. In view of many uncertainties involved in the analysis of the seabed response, such as the spatial variability of sediment properties and the randomness of related loads, a probabilistic framework based on the stochastic finite element method is developed, which couples the simulation of spatially heterogeneous soil in MATLAB and the finite element analysis of poroelasticity in COMSOL through the LiveLink program. A decomposed K-L expansion method is proposed, which takes less computational time and memory space, making the generation of three-dimensional random fields with high resolution and large scale more effective. Based on the proposed probabilistic framework, the dynamic response of both the two-dimensional sloping seabed under regular waves and the three-dimensional seabed under random waves are studied. The influence of the spatial variability of the permeability coefficient K and shear modulus G of marine sediments and the randomness of wave loads on the distribution of pore water pressure and the liquefaction depth in the seabed are revealed. The study has shown that traditional deterministic analysis methods lead to unsafe engineering designs.

Key words: wave loading, seabed response, random field, spatial variability, stochastic finite element method

CLC Number: 

  • TU 433
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