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首页> 外文期刊>International Journal for Numerical Methods in Engineering >Robust stability analysis of structures with uncertain parameters using mathematical programming approach
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Robust stability analysis of structures with uncertain parameters using mathematical programming approach

机译:参数不确定结构的稳健稳定性分析的数学规划方法

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摘要

This paper presents a novel mathematical programming approach for the static stability analysis of structures with uncertainties within the framework of FEM. The considered uncertain parameters are material properties, geometry of element cross section, and loading conditions, all of which are described by an interval model. The proposed method formulates the two cases of interest, namely, worst and best buckling load calculation, into a pair of mathematical programming problems. Two straightforward advantages are exhibited by such formulations. The first advantage is that the proposed formulation can overcome the interference on the sharpness of bounds of the buckling load due to the interval dependence issue. The second benefit is that the information of uncertain parameters causing the extremities of buckling load can always be retrieved as by-products of the uncertain stability analysis. Some numerical examples are presented to illustrate the capability of the proposed method on various structures and the sharpness of the bounds of the buckling load factors. The efficiency and effectiveness of the proposed method are also demonstrated through comparison with the classical Monte Carlo simulation method.
机译:本文提出了一种新颖的数学编程方法,用于在有限元框架内对具有不确定性的结构进行静态稳定性分析。所考虑的不确定参数是材料特性,单元横截面的几何形状和加载条件,所有这些均由间隔模型描述。所提出的方法将感兴趣的两种情况,即最坏和最佳屈曲载荷计算公式化为一对数学规划问题。这种配方表现出两个直接的优点。第一个优点是,由于间隔相关性问题,所提出的公式可以克服对屈曲载荷边界的清晰度的干扰。第二个好处是,始终可以将导致屈曲载荷末端的不确定参数信息作为不确定性稳定性分析的副产品来检索。给出了一些数值算例,以说明所提方法在各种结构上的能力以及屈曲荷载因数边界的清晰度。通过与经典的蒙特卡洛模拟方法进行比较,还证明了该方法的效率和有效性。

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