{"title":"基于随机有限元的变标高下船舶轴系承载不确定性分析","authors":"Lixun Lu, Guobin Li, Shihao Qiu, Honglin Gao, Pengfei Xing, Xiaoliang He, Hongpeng Zhang","doi":"10.1109/ECIE52353.2021.00036","DOIUrl":null,"url":null,"abstract":"Considering the hull deformation influence on the ship shafting, the uncertainty analysis of ship shafting bearing load under the variation of elevation based on stochastic finite element was proposed. The finite element and response surface models of shafting are established taking ship shafting as the research object. The Monte Carlo method was used to obtain the bearing elevation random samples, and the bearing load random distribution was calculated. The results show: bearing load obeys the normal distribution of (313.44, 4.6941), (42.107, 8.845), (151.98, 4.1509). Therefore, stochastic finite element can effectively analyze the uncertainty of bearing load under the bearing elevation changes randomly.","PeriodicalId":219763,"journal":{"name":"2021 International Conference on Electronics, Circuits and Information Engineering (ECIE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Uncertainty analysis of ship shafting bearing load under the variational elevation based on stochastic finite element\",\"authors\":\"Lixun Lu, Guobin Li, Shihao Qiu, Honglin Gao, Pengfei Xing, Xiaoliang He, Hongpeng Zhang\",\"doi\":\"10.1109/ECIE52353.2021.00036\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Considering the hull deformation influence on the ship shafting, the uncertainty analysis of ship shafting bearing load under the variation of elevation based on stochastic finite element was proposed. The finite element and response surface models of shafting are established taking ship shafting as the research object. The Monte Carlo method was used to obtain the bearing elevation random samples, and the bearing load random distribution was calculated. The results show: bearing load obeys the normal distribution of (313.44, 4.6941), (42.107, 8.845), (151.98, 4.1509). Therefore, stochastic finite element can effectively analyze the uncertainty of bearing load under the bearing elevation changes randomly.\",\"PeriodicalId\":219763,\"journal\":{\"name\":\"2021 International Conference on Electronics, Circuits and Information Engineering (ECIE)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Electronics, Circuits and Information Engineering (ECIE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ECIE52353.2021.00036\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Electronics, Circuits and Information Engineering (ECIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECIE52353.2021.00036","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Uncertainty analysis of ship shafting bearing load under the variational elevation based on stochastic finite element
Considering the hull deformation influence on the ship shafting, the uncertainty analysis of ship shafting bearing load under the variation of elevation based on stochastic finite element was proposed. The finite element and response surface models of shafting are established taking ship shafting as the research object. The Monte Carlo method was used to obtain the bearing elevation random samples, and the bearing load random distribution was calculated. The results show: bearing load obeys the normal distribution of (313.44, 4.6941), (42.107, 8.845), (151.98, 4.1509). Therefore, stochastic finite element can effectively analyze the uncertainty of bearing load under the bearing elevation changes randomly.