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Inverse Identification of Micromechanics and Fracture Mechanics-Based Damage Evolution Law of Brittle Composites

机译:脆性复合材料的微机械和断裂力学损伤演化法的逆识别

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This paper demonstrates identification of parameters associated with damage evolution laws defined in a micromechanics and fracture mechanics-based constitutive model for damage-tolerant brittle composites. A recently developed inverse analysis methodology, called Self-Optimizing Inverse Method (Self-OPTIM), has been extended to the identification of the physics-based damage evolution laws, which has not been achievable. The Self-OPTIM can automatically self-correct the Damage Parameter Set (DPS) based on global in-situ measurements. The material response is obtained from force-driven and displacement-driven nonlinear finite element (FE) simulations. The adopted micromechanics and fracture mechanics-based damage constitutive model can reasonably simulate nucleation and subsequent growth of microcracks within brittle composite materials. It has been implemented within the Self-OPTIM software framework. Numerically simulated synthetic data from an impact tension test are utilized to show successful performance of the proposed damage identification method.
机译:本文证明了与损伤基于损伤脆性复合材料的微机械和基于骨折基于裂缝基础模型中定义的损伤演化法相关的参数的识别。最近开发的逆分辨率方法,称为自我优化逆方法(自我优化),已经扩展到识别物理的损伤演进法,这尚未实现。自我无光度可以根据全局原位测量自动自我纠正损伤参数集(DPS)。材料响应是从力驱动和位移驱动的非线性有限元(Fe)模拟中获得的。采用的微机械和骨折力学损伤本构模型可合理地模拟脆性复合材料中微裂纹的成核和随后的生长。它已在自我优化软件框架内实现。利用影响张力试验的数值模拟的合成数据来表现出所提出的损伤识别方法的成功性能。

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