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Application of Markov chains to the critical element model for determining the fatigue life of composites.

机译:马尔可夫链在确定复合材料疲劳寿命的关键要素模型中的应用。

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摘要

A stochastic model for predicting the lifetime of composite laminates subjected to multiaxial fatigue loading is proposed. The model is based on the application of Markov chains to the well known "critical element" model for the fatigue of composite laminates. The model considers the accumulation of fatigue damage as an evolutionary random process characterized by changes in the global compliance of a laminate. These changes are modeled as nonstationary, discrete time, discrete state Markov processes (Markov chains) utilizing stationary Markov chains and polynomial transformations of their indexing parameters. The stationary Markov chains are developed on the assumption of "equivalent damage". Their parameters are determined from experimental data. The Markov chain models yield full cycle dependent probability distributions for the changes in laminate compliance. These changes and their respective distributions are used as input into a mechanical analysis to determine the stresses on the life controlling critical elements of a laminate. The stresses on the critical elements and their derived probability distributions are used in turn to predict the lifetime of a laminate based on Markov chain models of the fatigue behavior of the critical elements. The predictive capability of the proposed model is demonstrated by comparison with experimental results.
机译:提出了一种预测复合材料层合板多轴疲劳载荷寿命的随机模型。该模型基于将马尔可夫链应用于复合材料层压板疲劳的众所周知的“关键元素”模型。该模型将疲劳损伤的累积视为一个演化随机过程,其特征是层压板的整体柔度发生变化。利用固定的马尔可夫链及其索引参数的多项式变换,将这些变化建模为非平稳,离散时间,离散状态的马尔可夫过程(马尔可夫链)。固定的马尔可夫链是在“等效损伤”的假设下发展的。它们的参数由实验数据确定。马尔可夫链模型针对层压板柔韧性的变化产生了全周期相关的概率分布。这些变化及其各自的分布用作机械分析的输入,以确定层压板寿命控制关键元件上的应力。关键元素上的应力及其派生的概率分布依次用于基于关键元素疲劳行为的马尔可夫链模型预测层压板的寿命。通过与实验结果的比较证明了所提出模型的预测能力。

著录项

  • 作者

    Rowatt, John David.;

  • 作者单位

    Rice University.;

  • 授予单位 Rice University.;
  • 学科 Engineering Mechanical.;Engineering Materials Science.;Engineering Aerospace.
  • 学位 Ph.D.
  • 年度 1995
  • 页码 196 p.
  • 总页数 196
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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