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Integrated Multiaxial Experimentation and Constitutive Modeling

机译:集成多轴实验和本构模型

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摘要

Modern plasticity models contain numerous parameters that no longer correlate directly to measurements, leading to a lack of uniqueness during parameter identification. This problem is exacerbated when using only uniaxial test data to populate a three-dimensional model. Parameter identification typically is performed after all experiments are completed, and experiments using different loading conditions are seldom conducted for validation. Experimental techniques and computational methods for parameter identification are sufficiently advanced to permit real-time integration of these processes. This work develops a methodology for integrating multiaxial experimentation with constitutive parameter calibration and validation. The integrated strategy provides a closed-loop autonomous experimental approach to parameter identification. A continuous identification process guides the experiment to improve correlation across the entire axial-torsional test domain. Upon completion of the interactive test, constitutive parameters are available immediately for use in finite element simulations of more complex geometries. The autonomous methodology is demonstrated through both analytical and physical experiments on Ti-6Al-4V. The proposed approach defines a framework for parameter identification based on complete coverage of the stress and strain spaces of interest, thereby providing greater model fidelity for simulations involving multiaxial stress states and cyclic loading.
机译:现代可塑性模型包含许多不再与测量直接相关的参数,导致参数识别期间缺乏唯一性。当仅使用单轴测试数据填充三维模型时,此问题会更加严重。通常在所有实验完成后执行参数识别,并且很少进行使用不同加载条件的实验进行验证。用于参数识别的实验技术和计算方法已经足够先进,可以实时集成这些过程。这项工作开发了一种将多轴试验与本构参数校准和验证相集成的方法。集成策略为参数识别提供了一种闭环自主实验方法。连续的识别过程可指导实验以改善整个轴向扭转测试域的相关性。交互式测试完成后,本构参数可立即用于更复杂几何形状的有限元模拟中。通过在Ti-6Al-4V上进行分析和物理实验,证明了自主方法。所提出的方法基于对目标应力和应变空间的完全覆盖,定义了用于参数识别的框架,从而为涉及多轴应力状态和循环载荷的仿真提供了更高的模型保真度。

著录项

  • 作者

    Phillips, Peter Louis.;

  • 作者单位

    University of Dayton.;

  • 授予单位 University of Dayton.;
  • 学科 Mechanical engineering.;Engineering.
  • 学位 Dr.Ph.
  • 年度 2017
  • 页码 294 p.
  • 总页数 294
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 人类学;
  • 关键词

  • 入库时间 2022-08-17 11:54:25

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