周期性和随机激励下振动冲击系统的响应分析

IF 2.9 3区 数学 Q1 MATHEMATICS, APPLIED Physica D: Nonlinear Phenomena Pub Date : 2025-02-01 Epub Date: 2024-12-08 DOI:10.1016/j.physd.2024.134476
Yahui Sun , Joseph Páez Chávez , Yang Liu , Przemysław Perlikowski
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引用次数: 0

摘要

温度、湿度和外部负载等不确定性因素会对振冲系统的性能产生重大影响。有效管理这些不确定性对于确保工程系统在实际操作条件下的可靠性、安全性和性能至关重要。本研究提出了一种有效而直接的方法来分析振动冲击系统在周期性和随机激励下的响应。该方法利用确定性系统的置信椭圆和全局结构来估计导致危险分岔的临界噪声强度水平。此外,根据随机灵敏度函数的最大特征值在一个激励周期内的演化,确定了随机吸引子跳跃的最可能位置。通过对单自由度和双自由度冲击振子的分析,验证了所提方法的有效性。这些发现为预测复杂的动力行为提供了一个强大的框架,从而加强了各个工程领域的振动冲击系统的设计和应用。
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Response analysis of vibro-impact systems under periodic and random excitations
Uncertainties in factors, such as temperature, humidity, and external loads can significantly impact the performance of vibro-impact systems. Effectively managing these uncertainties is essential to ensure the reliability, safety, and performance of engineering systems in real-world operating conditions. This study presents an efficient and straightforward approach to analyze the response of vibro-impact systems subjected to both periodic and random excitations. The method estimates critical noise intensity levels that lead to dangerous noise-induced bifurcations by utilizing confidence ellipses and the global structure of the deterministic system. Furthermore, the most probable locations for stochastic attractor jumps are identified based on the evolution of the maximum eigenvalue of the stochastic sensitivity function over one period of excitation. The proposed method is validated through the analysis of both single- and two-degree-of-freedom impact oscillators. These findings provide a robust framework for predicting complex dynamic behaviors, thereby enhancing the design and application of vibro-impact systems across various engineering fields.
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来源期刊
Physica D: Nonlinear Phenomena
Physica D: Nonlinear Phenomena 物理-物理:数学物理
CiteScore
7.30
自引率
7.50%
发文量
213
审稿时长
65 days
期刊介绍: Physica D (Nonlinear Phenomena) publishes research and review articles reporting on experimental and theoretical works, techniques and ideas that advance the understanding of nonlinear phenomena. Topics encompass wave motion in physical, chemical and biological systems; physical or biological phenomena governed by nonlinear field equations, including hydrodynamics and turbulence; pattern formation and cooperative phenomena; instability, bifurcations, chaos, and space-time disorder; integrable/Hamiltonian systems; asymptotic analysis and, more generally, mathematical methods for nonlinear systems.
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