Efficient Hybrid Symbolic-Numeric Computational Method for Piecewise Linear Systems with Coulomb Friction

Amirhosein Shahhosseini, Meng-Hsuan Tien, Kiran D’Souza
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引用次数: 1

Abstract

A wide range of mechanical systems have gaps, cracks, intermittent contact or other geometrical discontinuities while simultaneously experiencing Coulomb friction. A piecewise linear model with discontinuous force elements is discussed in this paper that has the capability to accurately emulate the behavior of such mechanical assemblies. The mathematical formulation of the model is standardized via a universal differential inclusion and its behavior, in different scenarios, is studied. In addition to the compatibility of the proposed model with numerous industrial systems, the model also bears significant scientific value since it can demonstrate a wide spectrum of motions, ranging from periodic to chaotic. Furthermore, it is demonstrated that this class of models can generate a rare type of motion, called weakly chaotic motion. After their detailed introduction and analysis, an efficient hybrid symbolic-numeric computational method is introduced that can accurately obtain the arbitrary response of this class of nonlinear models. The proposed method is capable of treating high dimensional systems and its proposition omits the need for utilizing model reduction techniques for a wide range of problems. In contrast to the existing literature focused on improving the computational performance when analyzing these systems when there is a periodic response, this method is able to capture transient and non-stationary dynamics and is not restricted to only steady state periodic responses.
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具有库仑摩擦的分段线性系统的高效符号-数值混合计算方法
广泛的机械系统在经历库仑摩擦的同时存在间隙、裂纹、间歇接触或其他几何不连续。本文讨论了一种具有不连续力单元的分段线性模型,该模型具有精确模拟此类机械组件行为的能力。通过通用微分包含规范了模型的数学表达式,并研究了模型在不同情况下的行为。除了所提出的模型与许多工业系统的兼容性外,该模型还具有重要的科学价值,因为它可以展示从周期到混沌的广泛运动。此外,还证明了这类模型可以产生一种罕见的运动,称为弱混沌运动。在对其进行详细的介绍和分析后,提出了一种有效的符号-数值混合计算方法,可以准确地得到这类非线性模型的任意响应。所提出的方法能够处理高维系统,并且它的命题省略了使用模型约简技术来解决广泛问题的需要。与现有文献在分析存在周期响应的系统时着重于提高计算性能相比,该方法能够捕获瞬态和非平稳动态,而不仅仅局限于稳态周期响应。
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