Learning material law from displacement fields by artificial neural network

• 作 者: Hang Yang Qian Xiang Shan Tang
• 机 构: StateKeyLaboratoryofStructuralAnalysisforIndustrialEquipment,InternationalResearchCenterforComputati
• 出 处: 力学快报:英文版
• 发表日期: 2020年3期
• 关键词: DATA-DRIVEN Material law Displacement field Digital image correlation Artificial
• 基金项目: the support from the National Natural Science Foundation of China (Grant 11872139),the support from the National Natural Science Foundation of China (Grants 11732004 and 11821202),Program for Changjia

The recently developed data-driven approach can establish the material law for nonlinear elastic composite materials(especially newly developed materials)by the generated stress-strain data under different loading paths(Computational Mechanics,2019).Gener