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首页> 外文期刊>Journal of Sound and Vibration >Fuzzy interval Finite Element/Statistical Energy Analysis for mid-frequency analysis of built-up systems with mixed fuzzy and interval parameters
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Fuzzy interval Finite Element/Statistical Energy Analysis for mid-frequency analysis of built-up systems with mixed fuzzy and interval parameters

机译:模糊区间有限元/统计能量分析,用于混合参数和区间参数的组合系统中频分析

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摘要

This paper introduces mixed fuzzy and interval parametric uncertainties into the FE components of the hybrid Finite Element/Statistical Energy Analysis (FE/SEA) model for mid-frequency analysis of built-up systems, thus an uncertain ensemble combining non parametric with mixed fuzzy and interval parametric uncertainties comes into being. A fuzzy interval Finite Element/Statistical Energy Analysis (FIFE/SEA) framework is proposed to obtain the uncertain responses of built-up systems, which are described as intervals with fuzzy bounds, termed as fuzzy-bounded intervals (FBIs) in this paper. Based on the level-cut technique, a first-order fuzzy interval perturbation FE/SEA (FFIPFE/SEA) and a second-order fuzzy interval perturbation FE/SEA method (SFIPFE/SEA) are developed to handle the mixed parametric uncertainties efficiently. FFIPFE/SEA approximates the response functions by the first-order Taylor series, while SFIPFE/SEA improves the accuracy by considering the second-order items of Taylor series, in which all the mixed second-order items are neglected. To further improve the accuracy, a Chebyshev fuzzy interval method (CFIM) is proposed, in which the Chebyshev polynomials is used to approximate the response functions. The FBIs are eventually reconstructed by assembling the extrema solutions at all cut levels. Numerical results on two built-up systems verify the effectiveness of the proposed methods. (C) 2016 Elsevier Ltd. All rights reserved.
机译:本文将混合的模糊和区间参数不确定性引入到有限元/统计能量分析(FE / SEA)模型的有限元组成部分中,以进行组合式系统的中频分析,从而将非参数与混合模糊和非参数化相结合的不确定集合。区间参数不确定性应运而生。提出了一种模糊区间有限元/统计能量分析(FIFE / SEA)框架来获取组合系统的不确定性响应,该系统被描述为具有模糊边界的区间,在本文中被称为模糊边界区间(FBI)。基于水平削减技术,发展了一阶模糊区间摄动FE / SEA(FFIPFE / SEA)和二阶模糊区间摄动FE / SEA方法(SFIPFE / SEA)以有效处理混合参数不确定性。 FFIPFE / SEA通过一阶泰勒级数近似响应函数,而SFIPFE / SEA通过考虑泰勒级数的二阶项而忽略了所有混合的二阶项,从而提高了精度。为了进一步提高精度,提出了一种切比雪夫模糊区间方法(CFIM),其中使用切比雪夫多项式来近似响应函数。最终通过在所有切割级别上组装极值解来重建FBI。在两个组合系统上的数值结果验证了所提出方法的有效性。 (C)2016 Elsevier Ltd.保留所有权利。

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