首页> 外文会议>IUTAM Symposium on Field Analyses for Determination of Material Parameters - Experimental and Numerical Aspects >ESTIMATION OF MATERIAL PARAMETERS AT ELEVATED TEMPERATURES BY INVERSE MODELLING OF A GLEEBLE EXPERIMENT
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ESTIMATION OF MATERIAL PARAMETERS AT ELEVATED TEMPERATURES BY INVERSE MODELLING OF A GLEEBLE EXPERIMENT

机译:高层实验逆建模升高温度升高的材料参数

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A method for estimation of inelastic material parameters from Gleeble experiments is presented. Material parameters at elevated temperatures are estimated by inverse modelling of a Gleeble compression test during continuous cooling. The direct problem is solved using the implicit finite element program NIKE2D. The material behaviour is described by a rate independent thermo-elastic-plastic model with a nonlinear isotropic hardening law. The objective function is formed based on the discrepancy in force-displacement data between the numerical model prediction and the experiment. Minimisation of the objective function with respect to the material parameters is performed using an in-house optimisation software shell which is built on the subplex method. A Gleeble experiment with different deformation and temperature histories has been used for validation of the computed parameters. The validation experiment is simulated using both the material parameters achieved through inverse modelling and traditional estimation methods. The analysis showed better agreement when using the parameters estimated by the numerical method presented in this paper.
机译:提出了一种估计来自GLELBE实验的无弹性材料参数的方法。通过连续冷却期间Gleyble压缩测试的逆建模估计升高温度的材料参数。使用隐式有限元Program Nike2D解决了直接问题。材料行为由具有非线性各向同性硬化法的速率独立的热弹性塑料模型来描述。目标函数是基于在数值模型预测和实验之间的力 - 位移数据中的差异形成的。使用内部优化软件外壳进行材料参数的最小化目标函数,其内置于子扫描方法。具有不同变形和温度历史的Gleeble实验已被用于验证计算的参数。使用通过反向建模和传统估计方法实现的材料参数模拟验证实验。当使用本文中介绍的数值方法估计的参数时,分析显示更好的一致。

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