减少完全匹配层时域声学有限元模拟的模型阶次

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
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引用次数: 0

摘要

本文针对具有完全匹配层(PMLs)的声学有限元模型提出了一种保持稳定的模型缩减方法。PML 通常被引入无界域以模拟 Sommerfeld 辐射条件。这些层作为各向异性的阻尼材料吸收散射场,其材料特性与频率和坐标有关。由于这种与频率相关的特性以及每个波长所需的元素数量,相应的时域模型尺寸通常非常大。因此,为了实现高效的瞬态仿真,本文提出了一种分两步生成此类系统的稳定降阶模型(ROM)的方法。首先,通过单边分裂基对 PML 的修正稳定版本进行投影,从而得到一个稳定的中间 ROM。其次,通过模态变换对中间 ROM 进行修改,以满足保持稳定的条件。在这个修改后的模型上应用任何单边模型阶次缩减方法,都会得到一个稳定的小型 ROM。这种两步法通过在曲线坐标中重新表述,进一步扩展到局部共形的 PML 模型,适用于任意的凸截域。所提出的方法通过多次数值模拟得到了成功验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Model order reduction of time-domain acoustic finite element simulations with perfectly matched layers

This paper presents a stability-preserving model reduction method for an acoustic finite element model with perfectly matched layers (PMLs). PMLs are often introduced into an unbounded domain to simulate the Sommerfeld radiation condition. These layers act as anisotropic damping materials to absorb the scattered field, of which the material properties are frequency- and coordinate-dependent. The corresponding time-domain model size is often very large due to this frequency-dependent property and the number of elements needed per wavelength. Therefore, to enable efficient transient simulations, this paper proposes a two-step method to generate stable reduced order models (ROMs) of such systems. Firstly, the modified and stable version of PMLs is projected by a one-sided split basis, which gives a stable intermediate ROM. Secondly, the intermediate ROM is modified to satisfy the stability-preserving condition by applying the modal transformation. Applying any one-sided model order reduction method on this modified model leads to a stable and small ROM. This two-step method is further extended to account for the locally-conformal PML model by reformulating it in curvilinear coordinates, which works for arbitrary convex truncated domains. The proposed method is successfully verified by several numerical simulations.

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来源期刊
CiteScore
12.70
自引率
15.30%
发文量
719
审稿时长
44 days
期刊介绍: Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.
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