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Gradient based mehtods,geentic algorithms and the finite element mehtod form the identification of material parameters

机译:基于梯度的材料参数识别方法,遗传算法和有限元方法

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In order to achieve higher accuracy n the identificaitn of material parameters,a gradient based optimisation technique is combined with a finite element method.Associated with this identificaiton scheme a sensitivity analsyis is developed on the base of direct differentiatin of the finite elemnt formulation and particularly the algorihtm of evaluation fo stress and internal variables.To solve the problem of the initial guess,a genetic algorithm is used to start the process of dientification.The efficiency of the proposed approahc is demonstrated on the identificaiton of an anisotropic elasto-plastic behaviour for aluminium alloys.
机译:为了在材料参数的识别中获得更高的精度,将基于梯度的优化技术与有限元方法相结合。结合这种识别方案,在有限元配方的直接微分基础上,特别是在有限差分法的基础上,开发了灵敏度分析。应力和内部变量的评估算法。为解决最初的猜测问题,使用遗传算法启动了二元化过程。通过对铝的各向异性弹塑性行为的识别,证明了该方法的有效性。合金。

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