用于风力设备有限元分析的组合模型缩减法

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Marie Jeanneteau, Paul Oumaziz, Jean‐Charles Passieux, Vincent Gibiat, Jonathan Cottier
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引用次数: 0

摘要

本文提出了一种高保真有限元模型,用于全面模拟管乐器中的时谐声波传播。所面临的挑战是在可承受的计算时间内,满足专业音乐家对复杂域、所有指法和宽频率范围内极高精度的要求。为了限制问题的数值复杂性,同时保留所有相关物理特性,我们提出了若干建模假设。此外,还利用管乐器指法的组合特性,提出了一种基于分区、浓缩和模型阶次缩减的专用高性能求解策略。最后,将所提出的方法应用于中音萨克斯管的模拟。结果发现,内存和计算成本都减少了一个数量级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A combinatorial model reduction method for the finite element analysis of wind instruments
A high‐fidelity finite element model is proposed for the complete simulation of the time‐harmonic acoustic propagation in wind instruments. The challenge is to meet the extremely high accuracy required by professional musicians, in a complex domain, for all fingerings and over a wide frequency range, within an affordable computational time. Several modelling assumptions are made to limit the numerical complexity of the problem while preserving all relevant physics. A dedicated high‐performance solution strategy is also proposed, based on partitioning, condensation and model order reduction, exploiting the combinatorial nature of wind instrument fingerings. Finally, the proposed approach is applied to the simulation of an alto saxophone. An order of magnitude reduction in memory and computational cost is achieved.
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来源期刊
CiteScore
5.70
自引率
6.90%
发文量
276
审稿时长
5.3 months
期刊介绍: The International Journal for Numerical Methods in Engineering publishes original papers describing significant, novel developments in numerical methods that are applicable to engineering problems. The Journal is known for welcoming contributions in a wide range of areas in computational engineering, including computational issues in model reduction, uncertainty quantification, verification and validation, inverse analysis and stochastic methods, optimisation, element technology, solution techniques and parallel computing, damage and fracture, mechanics at micro and nano-scales, low-speed fluid dynamics, fluid-structure interaction, electromagnetics, coupled diffusion phenomena, and error estimation and mesh generation. It is emphasized that this is by no means an exhaustive list, and particularly papers on multi-scale, multi-physics or multi-disciplinary problems, and on new, emerging topics are welcome.
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