Kristian Kvist, Sergey V Sorokin, Jan Balle Larsen
{"title":"Approximating radiated acoustic power by spherical harmonic decomposition.","authors":"Kristian Kvist, Sergey V Sorokin, Jan Balle Larsen","doi":"10.1121/10.0036786","DOIUrl":null,"url":null,"abstract":"<p><p>This study enhances the approximation \"radiation efficiency varying equivalent radiated power.\" This is done through introducing a new method for estimating radiation efficiencies, based on spherical harmonic decomposition. The proposed improvements eliminate the need for computationally expensive surface integrals and results in solution times comparable with the classical equivalent radiated power approximation. This is achieved while significantly outperforming classical equivalent radiated power in terms of accuracy when compared with full numerical solutions to Helmholtz equation. This is shown both quantitively and qualitatively through numerical acoustic models of two systems of industrial complexity. The proposed improvements make the method robust for non-convex geometries across varying mesh densities, making the method highly suitable for iterative acoustic analysis in industrial applications.</p>","PeriodicalId":73538,"journal":{"name":"JASA express letters","volume":"5 6","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JASA express letters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1121/10.0036786","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ACOUSTICS","Score":null,"Total":0}
引用次数: 0
Abstract
This study enhances the approximation "radiation efficiency varying equivalent radiated power." This is done through introducing a new method for estimating radiation efficiencies, based on spherical harmonic decomposition. The proposed improvements eliminate the need for computationally expensive surface integrals and results in solution times comparable with the classical equivalent radiated power approximation. This is achieved while significantly outperforming classical equivalent radiated power in terms of accuracy when compared with full numerical solutions to Helmholtz equation. This is shown both quantitively and qualitatively through numerical acoustic models of two systems of industrial complexity. The proposed improvements make the method robust for non-convex geometries across varying mesh densities, making the method highly suitable for iterative acoustic analysis in industrial applications.