A harmonic balance normal form parametrisation for single mode reduction of nonlinear vibrating systems

IF 3.8 2区 数学 Q1 MATHEMATICS, APPLIED
Aurélien Grolet , Cyril Touzé , André De Figueiredo Stabile , Olivier Thomas
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引用次数: 0

Abstract

This paper introduces a model-order reduction technique for lightly damped nonlinear vibrating systems. By combining calculation details that are specific to the harmonic balance method, the asymptotic numerical method, and the normal form style parametrisation for invariant manifolds, a complete procedure that can cope with single-mode reduction is detailed. Introducing harmonic decomposition in the process allows for a different treatment of the temporal information of the solution, which comes with advantages as compared to normal form expansions based on polynomial expansions. The computation proceeds with two nested loops on both the harmonics and the polynomial degree expansion. A decisive advantage of the procedure is its ability to compute a new expansion from a known solution, which allows the derivation of amplitude-dependent piecewise reduced order models (ROMs), together with an integrated procedure that can switch from the invariant manifolds computation attached to either fixed points or limit cycles. Once the validity limit of a first expansion is met, the procedure can restart from a point where convergence is reached and produce a new ROM. This feature has the potential to overcome the well-known limitations of asymptotic expansions associated with the parametrisation method for invariant manifolds, and is derived here only for conservative systems. The whole analysis also clearly establishes the links existing between the normal form approach and computations based on the harmonic balance combined with the asymptotic numerical method. Examples of increasing complexity, starting from a Duffing equation, a two-degree-of-freedom system and a finite element beam model, are analysed, and comparisons with existing techniques are provided.
非线性振动系统单模减振的谐波平衡范式参数化
本文介绍了一种轻阻尼非线性振动系统的模型阶约简技术。通过结合谐波平衡法、渐近数值法和不变流形的范式参数化的具体计算细节,详细介绍了一个完整的处理单模约简的程序。在此过程中引入谐波分解允许对解的时间信息进行不同的处理,与基于多项式展开的标准形式展开相比,它具有优势。在谐波和多项式次展开上进行两个嵌套循环的计算。该程序的一个决定性优势是它能够从已知解中计算新的展开,从而允许推导与幅值相关的分段降阶模型(ROMs),以及可以从附属于不动点或极限环的不变流形计算切换的集成程序。一旦满足第一次展开式的有效性限制,该过程可以从到达收敛的点重新开始并产生新的ROM。该特征具有克服众所周知的与不变流形的参数化方法相关的渐近展开式的局限性的潜力,并且仅适用于保守系统。整个分析也清楚地建立了范式方法与基于调和平衡与渐近数值方法相结合的计算之间存在的联系。从Duffing方程、二自由度系统和有限元梁模型出发,分析了日益复杂的例子,并与现有技术进行了比较。
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来源期刊
Communications in Nonlinear Science and Numerical Simulation
Communications in Nonlinear Science and Numerical Simulation MATHEMATICS, APPLIED-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
6.80
自引率
7.70%
发文量
378
审稿时长
78 days
期刊介绍: The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity. The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged. Topics of interest: Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity. No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.
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