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

机译:不确定降低对低温温度复合层压材料重量的影响

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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:研究了不确定性降低措施对低温温度的层压材料重量的影响。问题的不确定性被归类为误差和可变性。进行概率设计,以分析减少重量不确定性的效果。为了演示,可变性减少采用质量控制的形式,而通过包括分析中的化学收缩效果,减少了误差。结果发现,仅使用误差控制导致12%的重量减轻,仅使用质量控制引出到20%的重量节省,使用误差和可变性控制措施的使用将重量降低37%。此外,本文还调查了如何提高故障计算概率的准确性和效率(使用蒙特卡罗仿真技术进行)。近似菌株的累积分布函数被示出,导致比使用菌株的响应表面近似更准确的故障估计概率。

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