A New Conjugate Gradient Method for Impact Load Identification of Stochastic Composite Structures

Linjun Wang, Hongchun Wu, Youxiang Xie
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Abstract

This paper presents a novel conjugate gradient method to identify the impact force of stochastic composite structure. Firstly, the proposed method is established based on constructing a new gradient regularization operator, and its stability and global convergence are strictly proven. Moreover, the proposed method solves the deterministic inverse problem of composite laminated cylindrical shells. Then, using the matrix perturbation method, the uncertain inverse problem of the impact force reconstruction of stochastic structure is converted to definite inverse problems. At last, the statistical properties of the reconstructed impact load are also analyzed. Numerical simulations show that the proposed method performs well in identifying the impact force of composite laminated cylindrical shells with stochastic and non-stochastic properties.
用于随机复合材料结构冲击载荷识别的新共轭梯度法
本文提出了一种新颖的共轭梯度法来识别随机复合材料结构的冲击力。首先,基于构建新的梯度正则化算子建立了所提出的方法,并严格证明了其稳定性和全局收敛性。此外,提出的方法还解决了复合材料层压圆柱壳的确定性逆问题。然后,利用矩阵扰动法,将随机结构冲击力重构的不确定逆问题转换为确定逆问题。最后,还分析了重建冲击载荷的统计特性。数值模拟表明,所提出的方法在识别具有随机和非随机特性的复合材料层压圆柱壳的冲击力方面表现良好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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