Yinghao Nie1, Shan Tang1,*, Gengdong Cheng1,*
The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.1, pp. 1-2, 2023, DOI:10.32604/icces.2023.09603
Abstract Advanced heterogeneous materials are widely used in many fields because of their excellent properties,
especially those with hyperelastic properties and significant deformation behavior. Highly efficient
numerical prediction methods of nonlinear mechanical properties of heterogeneous material provide
essential tools for two-scale material and structural analysis, data-driven material design, and direct
application in various engineering fields. Recently, the Clustering-based Reduced Order Model (CROM)
methods [1-6] have proven effective in many nonlinear homogenization problems. However, some CROM
methods would need help predicting significant large deformation behavior with more than 50% true strain.
This presentation introduces the FEM-Cluster based… More >
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