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EFFECTS OF UNCERTAINTY REDUCTION ON WEIGHT OF COMPOSITE LAMINATES AT CRYOGENIC TEMPERATURES

机译:不确定性降低对复合材料层合物在低温下的重量的影响

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摘要

The effect of uncertainty reduction measures on the weight of laminates for cryogenic temperatures is investigated. The uncertainties in the problem are classified as error and variability. Probabilistic design is carried out to analyze the effect of reducing the uncertainty on the weight. For demonstration, variability reduction takes the form of quality control, while error is reduced by including the effect of chemical shrinkage in the analysis. It is found that the use of only error control leads to 12% weight reduction, the use of only quality control leads to 20% weight savings and the use of error and variability control measures together reduces the weight by 37%. In addition, the paper also investigates how to improve the accuracy and efficiency of probability of failure calculations (performed using Monte Carlo simulation technique). Approximating the cumulative distribution functions for strains is shown to lead to more accurate probability of failure estimations than the use of response surface approximations for strains.
机译:研究了降低不确定性措施对低温下层压板重量的影响。问题中的不确定性分为误差和可变性。进行概率设计来分析减少不确定性对重量的影响。为了演示,减少变异性采取质量控制的形式,而通过在分析中包括化学收缩的影响来减少误差。发现仅使用错误控制可减少12%的重量,仅使用质量控制可减少20%的重量,同时使用错误和可变性控制措施可将重量减少37%。此外,本文还研究了如何提高故障概率计算的准确性和效率(使用蒙特卡洛模拟技术进行)。与使用应变的响应面近似法相比,显示应变的累积分布函数近似法可以导致更准确的破坏估计概率。

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