声学和振动模型降阶的案例研究

E. Deckers, W. Desmet, K. Meerbergen, F. Naets
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引用次数: 3

摘要

本章介绍了几个案例研究,以说明在力学应用中建立声学和振动模型的降阶模型的具体方面。模态截断方法在土木和机械工程中已经被证明是半个多世纪以来的主要方法,但是,对于许多(最近的)应用来说,这些技术太有限了。在机械工程中,模型用户对一系列模型应用感兴趣:频域和时域,线性和非线性,单域和多物理场等。这种广泛的应用程序使得设计适当的降阶模型方案特别具有挑战性,因为用于一种模型使用的方案可能完全不适合其他应用程序。例如,Krylov方法已经成为许多领域的首选技术,但在机械有限元模型中面临特别的挑战,因为系统的特征值沿着虚轴,并且从物理角度来看,高频与给定的网格尺寸无关。在本章中,我们将探讨不同类型的机械模型和仿真目的的这些特殊性,以便在这些模型上应用模型阶数约简时提出一些良好的实践和注意事项。我们汇集了两种不同的观点:从纯粹的数学角度应用模型阶约简,以及基于力学领域的物理论据对模型和降阶模型的预期性质的物理解释。虽然我们触及了一系列新颖的模型降阶技术,但我们不讨论参数模型降阶,因为我们期望所提出的指导方针可以在参数问题中利用,而无需额外的特定关注。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
3 Case studies of model order reduction for acoustics and vibrations
This chapter presents several case studies to illustrate specific aspects in setting up reduced-order models of acoustic and vibration models in mechanical applications. Modal truncation approaches have been a provenworkhorse for over half a century in civil andmechanical engineering, but, formany (recent) applications, these techniques are too limited. Inmechanical engineering,model users are interested in a range ofmodel applications: frequency and time domain, linear and nonlinear, single domain and multiphysics, etc. This broad range of applications makes it particularly challenging to devise appropriate reduced-order model schemes, as a scheme for one model use might be completely inadequate for other applications. Krylov methods for example have been a go-to technique inmany domains, but face particular challenges in mechanical finite element models as the system’s eigenvalues lie along the imaginary axis and the high frequencies are irrelevant for a givenmesh size from a physical perspective. In the current chapter we explore these particularities for different types of mechanical models and simulation purposes, in order to surface several good practices and points of attention when applying model order reduction on these models. We bring together two different viewpoints: the application of model order reduction from a purely mathematical point of view and the physical interpretation of models and expected properties of reduced-order models based on physical arguments from the field of mechanics. While we touch upon a range of novel model order reduction techniques, we do not discuss parametric model order reduction as it is expected that the presented guidelines can be exploited in parametric problems without additional specific concerns.
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