结构屈曲非线性分析的鲁棒高效迭代策略

D. Magisano, F. Liguori, L. Leonetti, G. Garcea
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引用次数: 0

摘要

本文展示了如何在基于位移的有限元公式离散的几何非线性结构问题中显著提高增量迭代解的效率和鲁棒性。其主要思想是在迭代过程中对各积分点的本构方程进行松弛。当使用独立的IP应力计算迭代矩阵时,收敛解保持不变。这减少了获得收敛的迭代次数,并允许在增量分析中进行非常大的步骤。每次迭代的计算量与原牛顿法相同。重要的是,与标准牛顿方法相反,迭代过程的鲁棒性不受高膜-弯曲刚度比的影响。
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A robust and efficient iterative strategy for nonlinear analysis of structures subjected to buckling
The paper shows how to make the incremental-iterative solution significantly more efficient and robust in geometrically non-linear structural problems discretized via displacement-based finite element formulations. The main idea is to relax the constitutive equations at each integration point (IP) during the iterations. The converged solution remains unchanged while the iteration matrix is computed using independent IP stresses. This reduces the number of iterations to obtain convergence and allows very large steps in incremental analyses. The computational cost of each iteration is the same as the original Newton method. Importantly, the robustness of the iterative process is unaffected by high membraneto-flexural stiffness ratios as opposite to the standard Newton method.
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