Hybrid uncertainty propagation analysis of nonlinear systems in the frequency domain based on multi-scale random interval moment method

IF 2.8 3区 工程技术 Q2 MECHANICS
Gao Hong, Deng Zhongmin
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引用次数: 0

Abstract

To quantify the impact of hybrid uncertainty (random and interval parameters) on the frequency-domain nonlinear dynamic response, the multi-scale method (MSM) and the random interval moment method (RIMM) are combined to establish a new uncertainty propagation analysis method, called the multi-scale random interval moment method (MS-RIMM). RIMM is used to describe the hybrid uncertainty, while MSM is used to determine the frequency-domain nonlinear dynamic response. The statistical characteristics (i.e., the expectation value and variance) of the amplitude-frequency response of the nonlinear system with hybrid uncertainties are derived. Furthermore, the accuracy and effectiveness of the proposed method are verified by comparing the results with those obtained using the multi-scale Monte Carlo simulation method (MS-MCSM). Overall, the results of this study can serve as a useful reference for the hybrid uncertainty propagation analysis of nonlinear systems and for predicting the frequency-domain nonlinear dynamic response.

基于多尺度随机区间矩法的频域非线性系统混合不确定性传播分析
为了量化混合不确定性(随机参数和区间参数)对频域非线性动态响应的影响,将多尺度法(MSM)和随机区间矩法(RIMM)相结合,建立了一种新的不确定性传播分析方法,称为多尺度随机区间矩法(MS-RIMM)。RIMM 用于描述混合不确定性,而 MSM 则用于确定频域非线性动态响应。得出了具有混合不确定性的非线性系统幅频响应的统计特征(即期望值和方差)。此外,通过与使用多尺度蒙特卡罗模拟法(MS-MCSM)得出的结果进行比较,验证了所提方法的准确性和有效性。总之,本研究的结果可作为非线性系统混合不确定性传播分析和频域非线性动态响应预测的有用参考。
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来源期刊
CiteScore
5.50
自引率
9.40%
发文量
192
审稿时长
67 days
期刊介绍: The International Journal of Non-Linear Mechanics provides a specific medium for dissemination of high-quality research results in the various areas of theoretical, applied, and experimental mechanics of solids, fluids, structures, and systems where the phenomena are inherently non-linear. The journal brings together original results in non-linear problems in elasticity, plasticity, dynamics, vibrations, wave-propagation, rheology, fluid-structure interaction systems, stability, biomechanics, micro- and nano-structures, materials, metamaterials, and in other diverse areas. Papers may be analytical, computational or experimental in nature. Treatments of non-linear differential equations wherein solutions and properties of solutions are emphasized but physical aspects are not adequately relevant, will not be considered for possible publication. Both deterministic and stochastic approaches are fostered. Contributions pertaining to both established and emerging fields are encouraged.
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