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Computational stochastic structural analysis-software development

机译:计算随机结构分析-软件开发

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The fast development of computational facilities and new computational methdologies allows the efficient implementation of stochastic structural analysis. Thus, a quantification of the probability of results of structural analyses in addition to pure deterministic prediction of their magnitudes is possible. Especially the evaluation of the reliability of structures expressed in terms of failure probabilities becomes feasible. To apply these methods in research as well as in industry, efficient programming concepts are necessary, i.e. convenient user interaction, modular prgramming, comprehensive macro language, etc. In this context, also a user-friendly possibility of applying parallel processing algorithms is described. These topics are exemplified by utilizing a concept denoted as COSSAN~(TM) (Computational Stochastic Structural Analysis).
机译:计算设施和新的计算甲型生物的快速发展允许有效地实现随机结构分析。因此,除了纯粹的确定性预测其幅度之外,结构分析结果的概率也是可能的。特别是对失效概率表达的结构可靠性的评估变得可行。为了在研究中应用这些方法以及在工业中,有效的编程概念是必要的,即方便的用户交互,模块化指数,全面的宏语言等。在这种情况下,还描述了应用并行处理算法的用户友好可能性。通过利用表示为Cossan〜(TM)的概念(计算随机结构分析)来举例说明这些主题。

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