Lei Li, Xiaotao Wen, Chao Tang, Dongyong Zhou, Songgen Zhang
{"title":"基于优化矩阵的有限元法声波传播数值模拟","authors":"Lei Li, Xiaotao Wen, Chao Tang, Dongyong Zhou, Songgen Zhang","doi":"10.1093/jge/gxae055","DOIUrl":null,"url":null,"abstract":"\n Based on the wave equation, scholars worldwide have proposed various methods for numerical simulation of seismic wave propagation in underground and surface media. The finite element method offers a unique advantage in accurately depicting the undulating surfaces and steep palaeoburial hills with its triangular mesh. However, its computational efficiency cannot meet our needs while lots of memories are occupied. To address this, we optimized and improved the critical Mass matrix and Stiffness matrix of spatial discretization of the acoustic wave equation. We first fully utilized the flexibility of triangles to fit different undulating terrains, then reorganized the numbering of triangle mesh nodes and elements to reduce the bandwidth of the matrices, and then used optimized matrices for solving. The Crank-Nicolson scheme was adopted for time discretization, and the Perfectly Matched Layer condition was utilized to eliminate false waves reflected from the boundary. The numerical experiments with simple and significant fluctuation models proved that this method can accelerate computational efficiency while ensuring computational accuracy.","PeriodicalId":54820,"journal":{"name":"Journal of Geophysics and Engineering","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Numerical simulation of acoustic waves propagation by finite element method based on optimized matrices\",\"authors\":\"Lei Li, Xiaotao Wen, Chao Tang, Dongyong Zhou, Songgen Zhang\",\"doi\":\"10.1093/jge/gxae055\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n Based on the wave equation, scholars worldwide have proposed various methods for numerical simulation of seismic wave propagation in underground and surface media. The finite element method offers a unique advantage in accurately depicting the undulating surfaces and steep palaeoburial hills with its triangular mesh. However, its computational efficiency cannot meet our needs while lots of memories are occupied. To address this, we optimized and improved the critical Mass matrix and Stiffness matrix of spatial discretization of the acoustic wave equation. We first fully utilized the flexibility of triangles to fit different undulating terrains, then reorganized the numbering of triangle mesh nodes and elements to reduce the bandwidth of the matrices, and then used optimized matrices for solving. The Crank-Nicolson scheme was adopted for time discretization, and the Perfectly Matched Layer condition was utilized to eliminate false waves reflected from the boundary. The numerical experiments with simple and significant fluctuation models proved that this method can accelerate computational efficiency while ensuring computational accuracy.\",\"PeriodicalId\":54820,\"journal\":{\"name\":\"Journal of Geophysics and Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Geophysics and Engineering\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1093/jge/gxae055\",\"RegionNum\":3,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"GEOCHEMISTRY & GEOPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Geophysics and Engineering","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1093/jge/gxae055","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GEOCHEMISTRY & GEOPHYSICS","Score":null,"Total":0}
Numerical simulation of acoustic waves propagation by finite element method based on optimized matrices
Based on the wave equation, scholars worldwide have proposed various methods for numerical simulation of seismic wave propagation in underground and surface media. The finite element method offers a unique advantage in accurately depicting the undulating surfaces and steep palaeoburial hills with its triangular mesh. However, its computational efficiency cannot meet our needs while lots of memories are occupied. To address this, we optimized and improved the critical Mass matrix and Stiffness matrix of spatial discretization of the acoustic wave equation. We first fully utilized the flexibility of triangles to fit different undulating terrains, then reorganized the numbering of triangle mesh nodes and elements to reduce the bandwidth of the matrices, and then used optimized matrices for solving. The Crank-Nicolson scheme was adopted for time discretization, and the Perfectly Matched Layer condition was utilized to eliminate false waves reflected from the boundary. The numerical experiments with simple and significant fluctuation models proved that this method can accelerate computational efficiency while ensuring computational accuracy.
期刊介绍:
Journal of Geophysics and Engineering aims to promote research and developments in geophysics and related areas of engineering. It has a predominantly applied science and engineering focus, but solicits and accepts high-quality contributions in all earth-physics disciplines, including geodynamics, natural and controlled-source seismology, oil, gas and mineral exploration, petrophysics and reservoir geophysics. The journal covers those aspects of engineering that are closely related to geophysics, or on the targets and problems that geophysics addresses. Typically, this is engineering focused on the subsurface, particularly petroleum engineering, rock mechanics, geophysical software engineering, drilling technology, remote sensing, instrumentation and sensor design.