Fem-Mps Coupled Fluid-Structure Interaction Analysis

Abstract eng:
Water-related disasters including tsunami and flood are fluid-structure interaction (FSI) phenomena involving free surface or moving boundary in fluid. Numerical simulation of this type of problem is beneficial for disaster prevention and disaster reduction. To solve such problems, there are various possible combinations of methods and algorithms in fluid, structure and coupling analyses. For example, FSI analysis involving free surface has been studied by using mesh-based methods [1, 2] or mesh-free particle methods [3, 4]. In mesh-based methods such as the finite element method, fluid flow formulation is generally based on the Eulerian description. Mesh-based methods have several difficulties in dealing with fragmentation of geometry and moving interfaces such as wave breaks in violent flows and with instability of nonlinear advective term. In contrast, in mesh-free particle methods, governing equations are discretized over a set of arbitrary distributed particles moving in the Lagrangian coordinate. Therefore mesh-free particle methods can deal with free surface and moving boundary relatively easily. On the other hand, in structural analyses, the finite element method has been well studied, and can deal with not only elastic but also plastic and fracture problems accurately. In this study, we propose a new strategy for solving FSI problem involving free surface and moving boundary. Here we perform fluid domain calculation by the moving particle simulation (MPS) method [3, 4], and structure domain calculation by FEM. The method can take both advantage of mesh-based method and mesh-free particle one, and makes such FSI analysis easy and versatile. In addition, since fluid domain and structure domain are separately calculated, partitioned iterative coupling algorithms [5, 6] are adopted as well. For the verification of the proposed method, the problem of breaking dam on elastic wall is calculated and the results are compared with those solved by other researches [1, 2]. Then, the method is applied to a larger scale problem.

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