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An efficient algorithm for the solution of min-max problems in multiaxial fatigue

机译:一种求解多轴疲劳最小-最大问题的有效算法

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摘要

Numerous fatigue criteria require the evaluation of critical quantities to estimate fatigue damage. The approach based on the construction of the minimum circle or hypersphere is often employed in multiaxial high-cycle fatigue criteria to compute critical quantities as the amplitude and mean value of the shear stress. Such a construction can be mathematically formulated as a min-max optimization problem for which efficient numerical strategies are of utmost importance. The present paper proposes a novel algorithm for solving such an optimization problem. The algorithm is based on the alternating direction method of multipliers (ADMM) and is very simple to implement. A wide range of fatigue loading paths, formulated in the two-dimensional and deviatoric spaces, are considered for numerical testing. Comparisons with reference solutions and with two alternative optimization approaches demonstrate the accuracy as well as the high efficiency of the proposed ADMM-based algorithm. A discussion on the adopted stopping criterion and on algorithm parameters is also addressed.
机译:许多疲劳标准要求评估临界量以估算疲劳损伤。在多轴高周疲劳准则中,通常采用基于最小圆或超球面构造的方法来计算临界量,如切应力的振幅和平均值。可以将这种结构数学上表示为最小-最大优化问题,对于该问题,有效的数值策略至关重要。本文提出了一种解决这种优化问题的新算法。该算法基于乘法器的交替方向方法(ADMM),实现起来非常简单。考虑了在二维和偏斜空间中公式化的各种疲劳载荷路径,用于数值测试。与参考解决方案和两种替代优化方法的比较证明了所提出的基于ADMM的算法的准确性和高效率。还讨论了采用的停止准则和算法参数。

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