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Trust-region based return mapping algorithm for implicit integration of elastic-plastic constitutive models

机译:基于信任区域的返回映射算法,用于弹塑构成模型的隐式集成

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摘要

A new method for the solution of the non-linear equations forming the core of constitutive model integration is proposed. Specifically, the trust-region method that has been developed in the numerical optimization community is successfully modified for use in implicit integration of elastic-plastic models. Although attention here is restricted to these rate-independent formulations, the proposed approach holds substantial promise for adoption with models incorporating complex physics, multiple inelastic mechanisms, and/or multiphysics. As a first step, the non-quadratic Hosford yield surface is used as a representative case to investigate computationally challenging constitutive models. The theory and implementation are presented, discussed, and compared with other common integration schemes. Multiple boundary value problems are studied and used to verify the proposed algorithm and demonstrate the capabilities of this approach over more common methodologies. Robustness and speed are then investigated and compared with existing algorithms. Through these efforts, it is shown that the utilization of a trust-region approach leads to superior performance versus a traditional closest-point projection Newton-Raphson method and comparable speed and robustness to a line search augmented scheme. Copyright (c) 2017 John Wiley & Sons, Ltd.
机译:提出了一种形成形成本构模型集成核心的非线性方程的解决方法。具体地,在数值优化界中开发的信任区域方法被成功地修改,以便在弹性塑料模型的隐式集成中使用。虽然这里的注意力仅限于这些速率无关的配方,但是所提出的方法具有通过包含复杂物理学,多种无弹性机制和/或多体学的模型来采用的实质性承担。作为第一步,非二次Hosford屈服表面用作调查计算具有挑战性的本构模型的代表性案例。介绍,讨论了理论和实施,并与其他普通集成方案进行了比较。研究了多个边值问题并用于验证所提出的算法,并展示这种方法对更常见方法的能力。然后调查鲁棒性和速度并与现有算法进行比较。通过这些努力,表明信任区域方法的利用率导致了卓越的性能与传统的最接近点投影牛顿 - 拉赛方法以及与线路搜索增强方案的相当速度和鲁棒性。版权所有(C)2017 John Wiley&Sons,Ltd。

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