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Unknown-but-bounded uncertainty propagation in spacecraft structural system: Interval reduced basis method and its integrated framework

机译:航天器结构系统中未知的但有界不确定性传播:间隔减少基础方法及其综合框架

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摘要

Uncertainty propagation analysis is a key issue for the safety and optimal design of spacecraft structures. This paper proposes an interval reduced basis method (IRBM) for predicting static response of spacecraft structures with unknown-but-bounded uncertainties. Meanwhile, an integrated framework on the basis of IRBM is established by coupling the current finite element codes, which lays the foundation for development of an easy-to-use interval finite element software. In this paper, the novel idea is to approximate the static response using a linear combination of interval basis vectors with undetermined coefficients. The reduced order equations for computing the undetermined coefficients are derived based on Galerkin scheme. For the second-order approximation in IRBM, the static response is easily converted into a family of quadratic programming problems subject to box constraints. The difference of convex functions algorithm is employed to solve these quadratic programming problems. The proposed method can improve the accuracy of the traditional first-order approximation and perform the efficient computation of the second-order approximation of the structural response. Two numerical examples are presented to show the good performance of the proposed method. And an engineering example is performed for its application. (C) 2019 Elsevier Masson SAS. All rights reserved.
机译:不确定性传播分析是航天器结构安全和最优设计的关键问题。本文提出了一种间隔减小的基础方法(IRBM),用于预测航天器结构的静态响应,具有未知但有界不确定因素。同时,通过耦合当前的有限元代码来建立基于IRBM的集成框架,该代码为开发易于使用的间隔有限元软件。在本文中,新颖的思想是使用具有未确定系数的间隔基载体的线性组合来近似静态响应。基于Galerkin方案导出用于计算未确定系数的降低的顺序方程。对于IRBM中的二阶近似,静态响应很容易被转换为受框限制的二次编程问题的家庭。凸起函数算法的差异用于解决这些二次编程问题。该方法可以提高传统一阶近似的准确性,并执行结构响应的二阶近似的有效计算。提出了两个数值例子以显示所提出的方法的良好性能。并且对其应用进行了工程示例。 (c)2019年Elsevier Masson SAS。版权所有。

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