基于多复步扰动的频率响应函数虚部解耦灵敏度分析

IF 4.4 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
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引用次数: 0

摘要

在计算一阶导数的复步微分法中使用了虚扰动,这种方法被广泛认为是结构动力学灵敏度分析的有效方法。然而,采用这种方法时,在阻尼频率响应函数中会出现虚部耦合。为了减轻这种耦合,本文提出了一种基于多复步扰动的新型灵敏度分析方法,用于结构动力学中频率响应函数的灵敏度分析。在多复数域中对结构参数进行扰动,利用 Cauchy 黎曼矩阵表示法对结构矩阵的维数进行扩展,将频域灵敏度分析的运动方程转换为实数域中的矩阵运算,灵敏度分析的运动方程中将不存在虚项,频率响应函数的虚部与扰动的虚部解耦,从维数扩展后的运动方程中得到结构频率响应函数和相应的灵敏度。采用桁架结构和太阳翼验证了所提方法的准确性。结果表明,使用所提出的方法可以有效地计算 FRF 的灵敏度。与有限差分法相比,所提出的方法不依赖于步长选择程序。使用所提方法还可以获得多阶和混合阶灵敏度矩阵,尤其是赫塞斯矩阵。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sensitivity analysis of frequency response functions with imaginary parts decoupling based on multicomplex-step perturbation

Imaginary perturbation is used in the complex step differentiation method to compute first-order derivatives, widely known as an effective approach for sensitivity analysis in structural dynamics. However, coupling of imaginary parts occurs in the damped frequency response functions when employing this method. To mitigate this coupling, a novel approach for sensitivity analysis based on multicomplex-step perturbation is proposed in this paper, for sensitivity analysis of Frequency Response Functions in structural dynamics. The structural parameters are perturbed in multicomplex domain, the dimensions of structural matrices are expanded using the Cauchy Riemann matrix representation, the equation of motion for sensitivity analysis in frequency domain is transformed to matrix operation in field of real numbers, imaginary term will not exist in the equation of motion for sensitivity analysis, the imaginary part of the frequency response function and the imaginary part of the perturbation are decoupled, the structural frequency response functions and the corresponding sensitivities are obtained from the dimension-expanded equation of motion. A truss structure and a solar wing are adopted to verify the accuracy of the proposed method. Results show that the sensitivity of FRFs can be effectively calculated using the proposed method. Compare to the finite difference method, the proposed method is not depended on the step-size selection procedure. The multi-order and mixed-order sensitivity matrices, especially Hessian matrix can also be obtained using the proposed method.

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来源期刊
Applied Mathematical Modelling
Applied Mathematical Modelling 数学-工程:综合
CiteScore
9.80
自引率
8.00%
发文量
508
审稿时长
43 days
期刊介绍: Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged. This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering. Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.
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