个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:力学与航空航天学院
学科:计算力学. 工程力学. 固体力学
办公地点:工程力学系-205
联系方式:0411-84706172
电子邮箱:heyiqian@dlut.edu.cn
Numerical prediction of effective properties for heterogeneous viscoelastic materials via a temporally recursive adaptive quadtree SBFEM
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论文类型:期刊论文
发表时间:2021-02-02
发表刊物:FINITE ELEMENTS IN ANALYSIS AND DESIGN
卷号:177
ISSN号:0168-874X
关键字:Effective properties; Heterogeneous viscoelastic materials; Direct numerical simulation; Quadtree SBFEM; Piecewise adaptive computing
摘要:A new numerical method is presented for evaluating the effective properties of heterogeneous viscoelastic materials, and an efficient and high-fidelity Direct Numerical Simulation (DNS) is addressed by integrating the advantages of the quadtree Scaled Boundary Finite Element Method (SBFEM) and a temporally recursive adaptive algorithm. The quadtree technique that can be directly implemented with input images is utilized for the mesh generation of the Representative Volume Element (RVE) with complex constitutes, and the inconvenience caused by 'hanging nodes' and the interface conformity requirement in the mesh generation can be removed using a polygonal Scaled Boundary Finite Element (SBFE). The computing accuracy in the time domain can be stably achieved via a recursive adaptive process when the step sizes vary. By virtue of the proposed DNS, an inverse analysis based procedure is designed to estimate the effective viscoelastic properties, and two indicators are proposed to evaluate the effectiveness of estimation. Numerical verification is provided to demonstrate the effectiveness of the proposed approach, and the impacts of the distributions and shapes of inclusions, RVE sizes, and volume fractions are taken into account.