联合激励下单侧振动冲击系统的随机动力学分析

IF 7.1 1区 工程技术 Q1 ENGINEERING, MECHANICAL International Journal of Mechanical Sciences Pub Date : 2024-11-12 DOI:10.1016/j.ijmecsci.2024.109828
Yu Zhang , Xi Chen , Hui Huo , Guohai Chen , Dixiong Yang
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引用次数: 0

摘要

振动冲击系统作为一种重要的非平稳系统,具有复杂的非线性特征。振动冲击系统不可避免地会遇到随机激励,但传统方法无法同时确定其瞬态响应和可靠性。通常,现有的非光滑变换方法往往会忽略振动冲击系统的基本非光滑特性。为此,本文提出了一种基于直接概率积分法(DPIM)的统一框架,无需非平滑变换即可同时确定单侧振动冲击系统在谐波和随机组合激励下的随机动态响应和可靠性,并捕捉其复杂的动力学行为。首先,引入与冲击速度相关的恢复系数,建立振动冲击系统的运动方程。其次,从概率守恒的角度推导出单侧振动-撞击系统的概率密度积分方程(PDIE)。然后,以解耦和高效的方式求解了系统的概率密度积分方程和控制微分方程。此外,通过引入随机动态响应的极值映射,评估了首次通过的可靠性。使用所提出的框架对三个典型实例的数值结果与蒙特卡罗模拟(MCS)、准 MCS 和参考文献中的结果进行了比较,突出了 DPIM 在计算随机激励和随机参数下振动冲击系统的随机响应和可靠性方面的优势。在谐波和随机激励的共同作用下,静态概率密度函数呈现周期性波动。特别是谐波激励的噪声强度和频率对系统的可靠性有很大影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Stochastic dynamics analysis for unilateral vibro-impact systems under combined excitation
Vibro-impact system, as an important type of non-smooth system, exhibits intricately nonlinear characteristics. Inevitably, the vibro-impact system will encounter random excitations, but the conventional methods ar7e not eligible for simultaneous determination of its transient responses and reliabilities. Commonly, existing methods of applying non-smooth transformation tend to ignore the essential non-smooth characteristics of vibro-impact system. To this end, this paper proposes a unified framework based on direct probability integral method (DPIM) to simultaneously determine stochastic dynamic responses and reliabilities of unilateral vibro-impact systems under combined harmonic and random excitation without non-smooth transformation, and captures their complicated dynamical behaviors. Firstly, the impact velocity dependent coefficient of restitution is introduced to establish the motion equation of vibro-impact system. Secondly, the probability density integral equation (PDIE) for the unilateral vibro-impact system is derived from the perspective of probability conservation. Then, the PDIE and governing differential equation of the system is solved in a decoupled and efficient way. Moreover, the first-passage reliability is assessed by introducing extreme value mapping of the stochastic dynamic response. Numerical results of three typical examples using the proposed framework are compared with those using Monte Carlo simulation (MCS), quasi-MCS and from the reference, which highlights the advantages of DPIM in computing the stochastic responses and reliabilities of vibro-impact system under random excitations and random parameters. The stationary probability density functions exhibit periodic fluctuations under combined harmonic and stochastic excitation. Specially, the noise intensity and frequency of harmonic excitation pose the great influence on the reliabilities of systems.
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来源期刊
International Journal of Mechanical Sciences
International Journal of Mechanical Sciences 工程技术-工程:机械
CiteScore
12.80
自引率
17.80%
发文量
769
审稿时长
19 days
期刊介绍: The International Journal of Mechanical Sciences (IJMS) serves as a global platform for the publication and dissemination of original research that contributes to a deeper scientific understanding of the fundamental disciplines within mechanical, civil, and material engineering. The primary focus of IJMS is to showcase innovative and ground-breaking work that utilizes analytical and computational modeling techniques, such as Finite Element Method (FEM), Boundary Element Method (BEM), and mesh-free methods, among others. These modeling methods are applied to diverse fields including rigid-body mechanics (e.g., dynamics, vibration, stability), structural mechanics, metal forming, advanced materials (e.g., metals, composites, cellular, smart) behavior and applications, impact mechanics, strain localization, and other nonlinear effects (e.g., large deflections, plasticity, fracture). Additionally, IJMS covers the realms of fluid mechanics (both external and internal flows), tribology, thermodynamics, and materials processing. These subjects collectively form the core of the journal's content. In summary, IJMS provides a prestigious platform for researchers to present their original contributions, shedding light on analytical and computational modeling methods in various areas of mechanical engineering, as well as exploring the behavior and application of advanced materials, fluid mechanics, thermodynamics, and materials processing.
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