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A novel development of bi-level reduced surrogate model to predict ductile fracture behaviors

机译:双层减少替代模型的新颖发展,以预测延性骨折行为

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摘要

In this paper, a bi-level reduced surrogate model is developed and presented to identify the material parameters of ductile fracture criterion. Using this method, the identification process becomes feasible with only a limited number of experimental tests. The method assembles local critical elements associated with global models. The surrogate model of fracture strain constructed using Diffuse Approximation and the local elements, reduces the computational effort for searching identified material parameters. Global fracture simulations are preformed to update the target fracture strain and to compute the corresponding failure onset displacement. Convincing results are obtained via successive applications of Design of Experiments (DOE) and enhanced design space transformation algorithms. The proposed identification protocol is validated for the modified Mohr-Coulomb fracture criterion using DP590 steel. Robustness of this method is confirmed with different initial guess. It orients a new direction for material parameters identification based on surrogate model which can effectively be implemented to predict the fracture behaviors. (C) 2017 Elsevier Ltd. All rights reserved.
机译:在本文中,开发并提出了一种双级减少的代理模型,以鉴定延性裂缝标准的材料参数。使用该方法,识别过程仅具有有限数量的实验测试。该方法组装与全局模型相关联的本地关键元素。使用漫反射近似和局部元素构造的断裂应变的替代模型,降低了搜索所识别的材料参数的计算工作。全局骨折模拟预先成形以更新目标断裂应变,并计算相应的故障起始位移。通过连续应用实验(DOE)和增强的设计空间转换算法,通过连续应用获得令人信服的结果。采用DP590钢的改进的MoHR-Coulomb骨折标准验证了所提出的识别方案。使用不同的初始猜测确认了这种方法的鲁棒性。它是基于代理模型的材料参数识别的新方向,这可以有效地实现以预测裂缝行为。 (c)2017 Elsevier Ltd.保留所有权利。

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