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Modeling and prediction of fatigue life in composite materials by using singular value decomposition method

机译：基于奇异值分解法的复合材料疲劳寿命建模与预测

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摘要

Proposing a comprehensive model to predict the fatigue life of composite structures under dynamic loading has always been a challenging problem. In this study, an attempt has been made to develop a polynomial model by utilization of experimental data together with singular value decomposition technique to estimate the fatigue life of composite materials. The model is based on a nonlinear mathematical function with effective parameters related to fatigue phenomenon in a nondimensional form. For this, four effective parameters such as cyclic stress amplitude, static strength, stress ratio, and fiber angle have been considered in modeling process. To evaluate the capability of this model a comparison has been made with some available experimental results where a good agreement is achieved. So, the obtained results demonstrate that despite system complexity and inability to extract an analytical model for estimating the fatigue life of composite materials, singular value decomposition method could be known as a useful and powerful tool for modeling.
机译：提出一个综合模型来预测复合结构在动态载荷下的疲劳寿命一直是一个具有挑战性的问题。在这项研究中，已经尝试通过利用实验数据和奇异值分解技术来开发多项式模型来估计复合材料的疲劳寿命。该模型基于非线性数学函数，该函数具有与无量纲形式的疲劳现象相关的有效参数。为此，在建模过程中考虑了四个有效参数，例如循环应力振幅，静态强度，应力比和纤维角度。为了评估该模型的功能，已与一些可获得的良好实验结果进行了比较。因此，获得的结果表明，尽管系统复杂且无法提取用于估计复合材料疲劳寿命的分析模型，但奇异值分解方法仍可作为一种有用而强大的建模工具。

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