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PROBABILISTIC SIMULATION OF LONG TERM BEHAVIOR IN POLYMER MATRIX COMPOSITES

机译:聚合物基复合材料长期行为的概率模拟

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A methodology to compute cumulative probability distribution functions (CDF) of fatigue life for different ratios, r of applied stress to first ply failure strength have been developed and demonstrated. Degradation effects due to long term nature of the mechanical cyclic loads are considered in the simulation process. A unified time-stress dependent multi-factor interaction equation model developed at NASA Lewis Research center has been used to account for the degradation/aging of material properties due to cyclic loads. Fast probability integration method is used to perform probabilistic simulation of uncertainties. Sensitivity of fatigue life reliability to uncertainties in the primitive random variables are computed and their significance in the reliability based design for maximum life is discussed. The results show that for applied stress to first ply failure strength ratio of 0.6, the laminate has half the endurance limit life with a reliability of 0.999. Also, the fatigue life reliability has been found to be most sensitive to the ply thickness and matrix tensile strength.
机译:已经开发出并证明了对不同比例的疲劳寿命的累积概率分布函数(CDF)计算疲劳寿命的方法,并证明了对第一帘布层故障强度的施加压力。在仿真过程中考虑了由于机械环状负载的长期性质导致的降解效应。在NASA Lewis研究中心开发的统一时应力依赖性多因素交互式方程模型已被用于考虑由于循环负载引起的材料特性的降解/老化。快速概率集成方法用于执行不确定性的概率模拟。讨论了对原始随机变量中的疲劳寿命可靠性对不确定性的敏感性,并且讨论了基于可靠性的最大寿命设计中的重要性。结果表明,对于施加的应力至第一帘布衰竭强度比为0.6,层压板具有0.999的可靠性的耐久性限制寿命。而且,已经发现疲劳寿命可靠性对帘布层厚度和基质拉伸强度最敏感。

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