{"title":"基于克里金法的旋转声源周围频谱和声场加速预测","authors":"","doi":"10.1016/j.jsv.2024.118671","DOIUrl":null,"url":null,"abstract":"<div><p>The computational cost of predicting sound radiated from rotating sources is mainly affected by three parameters, i.e., the number of frequencies, source points and field points. The key of reducing the prediction cost of sound radiated from rotating sources is to reduce the times of integral calculation invoked in multi-frequency and combination of multi-source-field points. In view of the above engineering background, this paper employs a frequency-domain integral prediction method combined with a Kriging interpolation model to accelerate acoustic prediction. Three numerical cases are performed to validate the effectiveness of the above method in accelerating prediction of the frequency spectrum and acoustic field around rotating sources. The research also provides recommendations on the distribution characteristics of the initial sampling points and the method of adding sampling points.</p></div>","PeriodicalId":17233,"journal":{"name":"Journal of Sound and Vibration","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Kriging-based accelerated prediction of frequency spectrum and acoustic field around rotating sources\",\"authors\":\"\",\"doi\":\"10.1016/j.jsv.2024.118671\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The computational cost of predicting sound radiated from rotating sources is mainly affected by three parameters, i.e., the number of frequencies, source points and field points. The key of reducing the prediction cost of sound radiated from rotating sources is to reduce the times of integral calculation invoked in multi-frequency and combination of multi-source-field points. In view of the above engineering background, this paper employs a frequency-domain integral prediction method combined with a Kriging interpolation model to accelerate acoustic prediction. Three numerical cases are performed to validate the effectiveness of the above method in accelerating prediction of the frequency spectrum and acoustic field around rotating sources. The research also provides recommendations on the distribution characteristics of the initial sampling points and the method of adding sampling points.</p></div>\",\"PeriodicalId\":17233,\"journal\":{\"name\":\"Journal of Sound and Vibration\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2024-08-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Sound and Vibration\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0022460X24004334\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ACOUSTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Sound and Vibration","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022460X24004334","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ACOUSTICS","Score":null,"Total":0}
Kriging-based accelerated prediction of frequency spectrum and acoustic field around rotating sources
The computational cost of predicting sound radiated from rotating sources is mainly affected by three parameters, i.e., the number of frequencies, source points and field points. The key of reducing the prediction cost of sound radiated from rotating sources is to reduce the times of integral calculation invoked in multi-frequency and combination of multi-source-field points. In view of the above engineering background, this paper employs a frequency-domain integral prediction method combined with a Kriging interpolation model to accelerate acoustic prediction. Three numerical cases are performed to validate the effectiveness of the above method in accelerating prediction of the frequency spectrum and acoustic field around rotating sources. The research also provides recommendations on the distribution characteristics of the initial sampling points and the method of adding sampling points.
期刊介绍:
The Journal of Sound and Vibration (JSV) is an independent journal devoted to the prompt publication of original papers, both theoretical and experimental, that provide new information on any aspect of sound or vibration. There is an emphasis on fundamental work that has potential for practical application.
JSV was founded and operates on the premise that the subject of sound and vibration requires a journal that publishes papers of a high technical standard across the various subdisciplines, thus facilitating awareness of techniques and discoveries in one area that may be applicable in others.