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Prediction of uncertain elastic parameters of a braided composite

机译:编织复合材料不确定弹性参数的预测

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Uncertainties are generally included in elastic parameters of the fiber reinforced textile composites. An approach on predicting the statistical characteristics of elastic modulus of braided composites using vibration test data is proposed in this paper. The method consists of two main steps, firstly estimate the initial mean values of the orthotropic elastic parameters by adopting the homogenization method, and then identify the variability of the elastic constants using a stochastic model updating algorithm with the first-order perturbation approach, the uncertain parameters are assumed as the summation of mean value and a deviation term with zero mean. A braided composite panel is employed in numerical simulations to verify the proposed method, the random samples of experimental modal data are simulated with the Latin Hypercube Sampling technique based on a reference finite element model, which is constructed by using deterministic updated elastic parameters. Results show that the mean value and standard deviation of the uncertain effective parameters of braided composite can be identified from modal data using the proposed stochastic identification method. (C) 2015 Elsevier Ltd. All rights reserved.
机译:不确定性通常包括在纤维增强纺织品复合材料的弹性参数中。提出了一种利用振动测试数据预测编织复合材料弹性模量统计特性的方法。该方法包括两个主要步骤,首先采用均质化方法估计正交各向异性弹性参数的初始均值,然后使用一阶扰动方法采用随机模型更新算法来确定弹性常数的变化性,不确定性假定参数为平均值和平均值为零的偏差项的总和。在数值模拟中采用编织复合板来验证该方法,并使用基于确定性更新弹性参数的参考有限元模型,通过Latin Hypercube抽样技术对实验模态数据的随机样本进行模拟。结果表明,所提出的随机识别方法可以从模态数据中识别出编织复合材料不确定有效参数的平均值和标准偏差。 (C)2015 Elsevier Ltd.保留所有权利。

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