Parameter estimation for a viscoplastic damage model using a gradient‐based optimization algorithm
Parameter estimation for a viscoplastic damage model using a gradient‐based optimization algorithm
复制标题
使用基于梯度的优化算法对粘塑性损伤模型进行参数估计
DOI：
10.1108/02644409810236920
复制
发表时间：
1998
影响因子：
1.6
通讯作者：
K. Runesson
中科院分区：
文献类型：
--
作者：
R. Mahnken;M. Johansson;K. Runesson
在这项工作中，基于梯度的优化方法被应用于确定具有动态屈服面和损伤耦合的粘塑性模型的材料参数。为此，在应变和应力控制实验中，系统地进行了与先前提出的集成方案一致的灵敏度分析。通过两个数值算例对该算法进行了验证：首先，利用模拟数据重新获得单调荷载下损伤情况下的参数。在第二个例子中，材料参数是根据奥氏体不锈钢的lcf测试的实验数据得到的，因此在硬化、速率和损伤效应方面显示出非常好的一致性。
In this work a gradient‐based optimization method is applied in order to determine material parameters for a viscoplastic model with dynamic yield surface coupled to damage as presented in 1997. To this end a sensitivity analysis consistent with the integration scheme presented previously is performed in a systematic manner, both for strain and stress controlled experiments. The algorithm is tested in two numerical examples: first, simulated data are used, in order to re‐obtain parameters for the case of damage under monotonic loading. In the second example material parameters are obtained based on experimental data for lcf‐testing of an austenetic stainless steel, thus showing a very good agreement with respect to hardening, rate and damage effects.