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Probability prediction of tensile strength with acoustic emission count of a glass fiber reinforced polyamide

机译：玻璃纤维增强聚酰胺声发射计数的拉伸强度的概率预测

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摘要

The aim of this paper is to develop a probabilistic approach for predicting the tensile strength behavior of a glass fiber reinforced polyamide. In the present study, the reliability of tensile strength is proposed based on the developed mathematical models, in which three factors with three levels are implemented. Glass fiber content, temperature and strain rate are chosen as the main input parameters in this study. The tensile strength is considered as output response which is evaluated through experimental tests. The “Strength-Load” method with Monte Carlo simulation is implemented for computing the tensile strength reliability. The proposed approach leads to predict useful the tensile strength behavior for different parameters. In addition, a sensitivity analysis of some input parameters on the reliability is discussed. This method has been also used to analyze and discuss the influence of the dispersions of the glass fiber content and the temperature of a glass fiber reinforced polyamide.
机译：本文的目的是开发一种概率方法，用于预测玻璃纤维增​​强聚酰胺的拉伸强度行为。在本研究中，基于发育的数学模型提出了拉伸强度的可靠性，其中实施了三个级别的三个因素。选择玻璃纤维含量，温度和应变速率作为本研究中的主要输入参数。拉伸强度被认为是通过实验测试评估的输出响应。利用蒙特卡罗模拟的“强度负荷”方法用于计算拉伸强度可靠性。所提出的方法导致预测不同参数的抗拉强度行为有用。此外，还讨论了对可靠性的一些输入参数的灵敏度分析。该方法还用于分析和讨论玻璃纤维含量分散的影响和玻璃纤维增​​强聚酰胺的温度的影响。

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