基于人脸的高速列车声场模拟的光滑有限元方法

IF 1.3 4区 工程技术 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Simulation-Transactions of the Society for Modeling and Simulation International Pub Date : 2023-03-29 DOI:10.1177/00375497231163642
Songhua Huang, Yugong Xu, Zhaoxin Liu, W. Dou, Lele Zhang
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引用次数: 1

摘要

传统的有限元模型模拟三维声学问题时,会产生较大的色散误差,难以控制。为控制有限元法“过硬”特征引起的频散误差,采用基于面的光滑有限元模型(FS-FEM)对高速列车声场进行了分析。基于声学伽辽金方法的弱形式,在原有限元区域内重构光滑区域,并在MATLAB中进行数值模拟。对一个试验实例进行模态分析,结果表明,用FS-FEM方法得到的结果比传统有限元方法得到的结果更准确。最后,将该方法应用于中铁高铁380B (CRH380B)高速列车的声场时域和频域计算,取得了比传统方法更高的精度。结果更接近于实际解,验证了FS-FEM的性能。
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Face-based smoothed finite element method for simulating the sound field of a high-speed train
Simulating three-dimensional acoustic problems with traditional finite element models (FEMs) may result in a large dispersion error that is difficult to manage. To control dispersion error caused by “overly stiff” features of FEM, a face-based smoothed FEM (FS-FEM) model was used to analyze the sound field of a high-speed train. Based on the acoustic Galerkin method’s weak form, smooth regions were reconstructed within the original finite element area, and numerical simulations were performed in MATLAB. Modal analysis of a test example revealed that results obtained using FS-FEM are more accurate than those obtained using the traditional FEM. Finally, it was used to calculate the sound field of China Railway High-speed 380B (CRH380B) high-speed trains in time and frequency domains, achieving higher accuracy than the traditional approach. Results were more akin to the realistic solution, which demonstrated the performance of the FS-FEM.
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来源期刊
CiteScore
3.50
自引率
31.20%
发文量
60
审稿时长
3 months
期刊介绍: SIMULATION is a peer-reviewed journal, which covers subjects including the modelling and simulation of: computer networking and communications, high performance computers, real-time systems, mobile and intelligent agents, simulation software, and language design, system engineering and design, aerospace, traffic systems, microelectronics, robotics, mechatronics, and air traffic and chemistry, physics, biology, medicine, biomedicine, sociology, and cognition.
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