首页> 外文期刊>Materials & design >Application of canonical correlation analysis to a sensitivity study of constitutive model parameter fitting
【24h】

Application of canonical correlation analysis to a sensitivity study of constitutive model parameter fitting

机译:典型相关分析在本构模型参数拟合敏感性研究中的应用

获取原文
获取原文并翻译 | 示例
       

摘要

Successful modeling of a material's deformation behavior is dependent on the development of realistic constitutive models that can mimic the actual response of the material of interest. In-depth knowledge about the parameters in a constitutive model will lead to a better understanding of the relationship between flow stress and deformation conditions and will eventually aid in better design of the deformation process. Curve-fitting is generally employed to calibrate constitutive models using experimental data. However, the relative impact of constitutive model parameters on the mechanical response for different models has not been extensively explored. In this study, both local and global sensitivity analysis methods are used to understand and quantify the contribution of the parameters. Canonical correlation analysis (CCA) has been used to understand the effect of constitutive model parameters on the flow stress behavior of titanium alloys. This analysis has been performed for the Mechanical Threshold Stress (MTS) model, which is a constitutive description based on the physics of dislocation motion. The limitations of local sensitivity methods have been highlighted and it has been shown that CCA provides a measure of both an individual variable's contribution and the effectiveness of the parameter set as a whole. (C) 2017 Elsevier Ltd. All rights reserved.
机译:材料变形行为的成功建模取决于可以模拟目标材料实际响应的实际本构模型的开发。对本构模型中参数的深入了解将有助于您更好地理解流应力与变形条件之间的关系,并最终有助于更好地设计变形过程。通常使用曲线拟合来使用实验数据来校准本构模型。但是,本构模型参数对不同模型的机械响应的相对影响尚未得到广泛探讨。在这项研究中,使用局部和全局敏感性分析方法来理解和量化参数的贡献。典型相关分析(CCA)已用于理解本构模型参数对钛合金流动应力行为的影响。已针对机械阈值应力(MTS)模型进行了此分析,该模型是基于位错运动的物理学性的描述。局部敏感性方法的局限性已经得到了强调,并且已经表明,CCA可以衡量单个变量的贡献以及整个参数集的有效性。 (C)2017 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号