子程序
开裂
材料科学
Python(编程语言)
复合数
结构工程
基质(化学分析)
比例(比率)
依赖关系(UML)
计算机科学
复合材料
工程类
物理
人工智能
量子力学
操作系统
作者
Thomas Berton,Farzin Najafi,Chandra Veer Singh
标识
DOI:10.1016/j.compositesb.2018.12.033
摘要
In this paper, a novel multi-scale damage model has been developed to predict the progression of matrix micro-cracking in a prototype car bumper under low-velocity impact. The methodology is based on FE micro-damage modelling to calibrate the parameters of a Synergistic Damage Mechanics model considering multi-axial loading, combined with a matrix micro-crack multiplication model. Python scripting was used to model a series of micro-mechanical FE models to determine the damage parameters, which were then used to simulate damage evolution at the structural scale, using a VUMAT subroutine. Following validation, the effects of the impactor's initial velocity, stacking sequence, rate-dependency and bumper's cross sectional profile have been evaluated for different material systems. The patterns of damage progression show that the damage model can accurately predict the progression of matrix micro-cracking, paving the way for the utilization of accurate multi-scale analysis tools in composite structures.
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