动力系统的首次偏移概率:计算方法综述

IF 7.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL
Youbao Jiang , Xuyang Zhang , Michael Beer , Matthias G.R. Faes , Costas Papadimitriou , Hao Zhou
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引用次数: 0

摘要

基于一次偏移失效准则的动力可靠度理论在结构抗震和抗风领域以及机械和飞机的可靠性评估中具有重要意义。该理论框架提供了失效概率的数学描述,作为动态系统安全评估的关键指标。然而,像大型结构、机器或飞机这样的动力系统是由许多成员和节点组成的,这些成员和节点可能受到与载荷、几何缺陷和材料特性相关的不确定性的影响。这些系统固有的高维随机性和明显的非线性耦合效应导致了系统失效模式的复杂性和隐式性。因此,复杂动力系统的首次偏移概率的计算提出了一个艰巨的挑战,需要进行全面的研究。为了总结当前的方法,本文概述了动态可靠性理论的最新进展,特别强调了其解决动力系统中首次偏移概率的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
First excursion probability of dynamical systems: A review on computational methods
The theory of dynamic reliability, predicated on the first excursion failure criterion, holds significant importance in the domains of seismic and wind resistance of structures, as well as in the assessment of the reliability of machinery and airplanes. This theoretical framework offers a mathematical description of failure probabilities, which serve as critical indicators for the safety evaluations of dynamic systems. However, dynamical systems such as large structures, machines or airplanes are composed of numerous members and nodes that may be influenced by uncertainties related to loads, geometric imperfections, and material properties. The inherent high-dimensional randomness and pronounced nonlinear coupling effects contribute to the complexity and implicit nature of the system failure modes in these systems. Consequently, the computation of the first excursion probability for complex dynamical systems presents a formidable challenge that necessitates comprehensive investigation. To summarize the current methodologies, this paper delineates a state-of-the-art review of dynamic reliability theory, with a particular emphasis on its potential to address the first excursion probability in dynamical systems.
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来源期刊
Mechanical Systems and Signal Processing
Mechanical Systems and Signal Processing 工程技术-工程:机械
CiteScore
14.80
自引率
13.10%
发文量
1183
审稿时长
5.4 months
期刊介绍: Journal Name: Mechanical Systems and Signal Processing (MSSP) Interdisciplinary Focus: Mechanical, Aerospace, and Civil Engineering Purpose:Reporting scientific advancements of the highest quality Arising from new techniques in sensing, instrumentation, signal processing, modelling, and control of dynamic systems
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