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A hybrid method for efficient solution of geometrically nonlinear structures

机译:一种有效求解几何非线性结构的混合方法

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摘要

We propose a novel hybrid method for calculating accurate responses of geometrically nonlinear structures exhibiting complex snap-through and snap-back behaviours. The proposed method employs a hybrid evolutionary-algebraic method to obtain each point of the equilibrium path, where the equilibrium is formulated generally as a minimisation problem. Genetic algorithm and Nelder-Mead simplex methods are used together as the hybrid optimiser. To obtain any arbitrary point of the equilibrium path, we only need a series of sparse matrix to vector multiplications and do not require information about previous equilibrium states, the assembly of tangent stiffness matrix, the solution of a set of system of linear equations or factorisation processes. Both primary and secondary paths can be followed. In addition, utilising the tangent stiffness matrix, this method can effectively find both the limit and bifurcation points directly. The state of non-proportional loading can also be considered successfully. Additionally, we show how to generate the solution of a structure whose geometrical and mechanical properties vary slightly, starting from the original solution. Finally, to demonstrate the efficiency and capabilities of the present approach, three examples that are well known for their complex snap-through snap-back load-deflection curves are comprehensively studied, and the results obtained are compared with those reported in the literature.
机译:我们提出了一种新颖的混合方法,用于计算表现出复杂的快速捕捉和快速捕捉行为的几何非线性结构的精确响应。所提出的方法采用混合进化-代数方法来获得平衡路径的每个点,其中平衡通常被公式化为最小化问题。遗传算法和Nelder-Mead单纯形法一起用作混合优化器。要获得平衡路径的任意点,我们只需要一系列稀疏矩阵来进行矢量乘法,并且不需要有关以前的平衡状态,切线刚度矩阵的集合,一组线性方程组或因式分解的信息流程。主要路径和次要路径均可遵循。另外,利用切线刚度矩阵,该方法可以直接直接找到极限点和分叉点。也可以成功地考虑非比例加载的状态。此外,我们展示了如何从原始解开始生成几何和机械特性略有变化的结构的解。最后,为了说明本方法的效率和功能,对三个因复杂的快速捕捉-负载-挠度曲线而闻名的示例进行了全面研究,并将获得的结果与文献中的结果进行了比较。

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