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Structural stability analysis of single-layer reticulated shells with stochastic imperfections

机译:具有随机缺陷的单层网壳的结构稳定性分析

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Buckling is one of the typical failure modes for single-layer reticulated shells (SLRSs). To prevent buckling, it is necessary to predict the critical buckling load and post-buckling path of the structure, and hence, structural stability analysis should be carried out. Unlike ideal structures, SLRSs with stochastic imperfections could experience different failure modes with varied post buckling paths. In the present paper, a stochastic imperfection modal superposition method is proposed for SLRS with stochastic imperfections. The SLRS structure is modeled using Timoshenko beams. Considering several possible buckling modes and random variables, Monte Carlo simulations are performed to analyze the superposition of buckling modes of the structure with stochastic imperfections. The modal combination factor is treated as a random variable and different distributions types are used for comparisons, such as uniform distribution, Gaussian distribution, T-Gaussian distribution, and triangular distribution. Based on parametric study results and comparisons with other traditional stability analysis method, the proposed method is found to provide good accuracy at considerably less computation cost. (C) 2016 Elsevier Ltd. All rights reserved.
机译:屈曲是单层网状壳(SLRS)的典型失效模式之一。为了防止屈曲,必须预测结构的临界屈曲载荷和屈曲后路径,因此,应进行结构稳定性分析。与理想结构不同,具有随机缺陷的SLRS可能会经历具有不同后屈曲路径的不同失效模式。本文针对具有随机缺陷的SLRS提出了一种随机缺陷模态叠加方法。 SLMS结构是使用Timoshenko梁建模的。考虑到几种可能的屈曲模式和随机变量,进行了蒙特卡洛模拟,以分析具有随机缺陷的结构的屈曲模式的叠加。模态组合因子被视为随机变量,并且使用不同的分布类型进行比较,例如均匀分布,高斯分布,T-高斯分布和三角形分布。根据参数研究结果并与其他传统的稳定性分析方法进行比较,发现该方法以较低的计算成本提供了良好的精度。 (C)2016 Elsevier Ltd.保留所有权利。

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