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NICE~h: a higher-order explicit numerical scheme for integration of constitutive models in plasticity

机译:NICE〜h:可塑性本构模型集成的高阶显式数值格式

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The article introduces, as a result of further development of the first-order scheme NICE, a simple and efficient higher-order explicit numerical scheme for the integration of a system of ordinary differential equations which is constrained by an algebraic condition (DAE). The scheme is based on the truncated Taylor expansion of the constraint equation with order h of the scheme being determined by the highest exponent in the truncated Taylor series. The integration scheme thus conceived will be named NICE~h, considering both principal premises of its construction. In conjunction with a direct solution technique used to solve the boundary value problem, the NICE~h scheme is very convenient for integrating constitutive models in plasticity. The plasticity models are defined mostly by a system of algebraic and differential equations in which the yield criterion represents the constraint condition. To study the properties of the new integration scheme, which, like the forward-Euler scheme, is characterised by its implementation simplicity due to the explicitness of its formulations, a damage constitutive model (Gurson-Tvergaard-Needleman model) is considered. The general opinion that the implicit backward-Euler scheme is much more accurate than the thus-far known explicit schemes is challenged by the introduction of the NICE~h scheme. The accuracy of the higher-order explicit scheme in the studied cases is significantly higher than the accuracy of the classical backward-Euler scheme, if we compare them under the condition of a similar CPU time consumption.
机译:作为一阶格式NICE的进一步发展的结果,本文介绍了一个简单有效的高阶显式数值格式,用于积分受代数条件(DAE)约束的常微分方程组。该方案基于约束方程的截断泰勒展开,该方案的阶数h由截断泰勒级数中的最高指数确定。考虑到其构建的两个主要前提,因此设想的集成方案将命名为NICE〜h。结合用于解决边值问题的直接求解技术,NICE〜h方案对于在塑性中集成本构模型非常方便。可塑性模型主要由代数和微分方程组定义,其中屈服准则表示约束条件。为了研究新集成方案的性质,该新方案与正向欧拉方案一样,由于其公式的明确性而具有易于实现的特点,因此考虑了损伤本构模型(Gurson-Tvergaard-Needleman模型)。引入NICE_h方案对普遍认为隐式后向Euler方案比迄今已知的显式方案精确得多的普遍观点提出了质疑。如果我们在类似的CPU时间消耗的情况下进行比较,则在研究情况下,高阶显式方案的精度明显高于经典后向Euler方案的精度。

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