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On the automation of non-linear behavioral structural analysis. Guidance and quality control

机译:论非线性行为结构分析的自动化。指导和质量控制

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Controlling the numerical quality of non-linear simulations allpows aoutomating the discretization choices. Within the framework of time-dependent problems, this quality depends on the errors introduced in the calculation of the transformation history. Generally, before obtaining a calculation of satisfactory quality, it is necessary to carry out an evaluation of the numerical approximations to use by utilizing all of the history of the approximate solution flaws. We propose a strategy which naturally includes this efvaluation. The solution sought is built iteratively, improving the entire history at each iteration thanks to the LA.T.IN. method. The simulation is initializd with a coarse model. Then, all of the approximations are adapted during the subsequent iterations in order to obtain the prescribed quality. This quality is estimated by a global dissipation error. Thanks to an approximation classification, we are able to identify the nature of the diffefrent contributions to the global error. We use, in particular, a space indicator to characterize the mesh, and another indicator to characterize the time discretization.
机译:控制非线性模拟的数值质量,所有的分散化选择都会出现分散化选择。在时间相关问题的框架内,这种质量取决于在计算转换历史记录中引入的错误。通常,在获得令人满意的质量的计算之前,必须通过利用近似解决方案缺陷的所有历史来执行对数值近似的评估。我们提出了一种自然包括这种eFValuation的策略。迭代的解决方案是迭代的,通过La.T.in改善每次迭代的整个历史。方法。模拟是具有粗略模型的初始化。然后,在随后的迭代期间适应所有近似,以获得规定的质量。通过全局耗散误差估算此质量。由于近似分类,我们能够识别对全局错误的贡献的性质。我们特别使用空间指示器来表征网格,以及其他指示器以表征时间离散化。

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