J. Oberhagemann, J. Kaufmann, A. K. Ervik, O. Gramstad, J. B. Helmers, F. Sireta
{"title":"结合HOSM, CFD和机器学习的波浪载荷和响应预测","authors":"J. Oberhagemann, J. Kaufmann, A. K. Ervik, O. Gramstad, J. B. Helmers, F. Sireta","doi":"10.1115/omae2019-95352","DOIUrl":null,"url":null,"abstract":"\n We present efforts to progress on numerical predictions of extreme wave loads of ships by combining a variety of state-of-the-art numerical tools. Aims are the generation of wave scenarios to represent the wave excitation and corresponding structural response associated with a pre-defined probability of, e.g., one expected exceedance per life cycle, as well as the further development of numerical methods to predict the ship response to the selected wave events.","PeriodicalId":314553,"journal":{"name":"Volume 3: Structures, Safety, and Reliability","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Wave Load and Response Predictions Combining HOSM, CFD and Machine Learning\",\"authors\":\"J. Oberhagemann, J. Kaufmann, A. K. Ervik, O. Gramstad, J. B. Helmers, F. Sireta\",\"doi\":\"10.1115/omae2019-95352\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n We present efforts to progress on numerical predictions of extreme wave loads of ships by combining a variety of state-of-the-art numerical tools. Aims are the generation of wave scenarios to represent the wave excitation and corresponding structural response associated with a pre-defined probability of, e.g., one expected exceedance per life cycle, as well as the further development of numerical methods to predict the ship response to the selected wave events.\",\"PeriodicalId\":314553,\"journal\":{\"name\":\"Volume 3: Structures, Safety, and Reliability\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Volume 3: Structures, Safety, and Reliability\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1115/omae2019-95352\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Volume 3: Structures, Safety, and Reliability","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/omae2019-95352","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Wave Load and Response Predictions Combining HOSM, CFD and Machine Learning
We present efforts to progress on numerical predictions of extreme wave loads of ships by combining a variety of state-of-the-art numerical tools. Aims are the generation of wave scenarios to represent the wave excitation and corresponding structural response associated with a pre-defined probability of, e.g., one expected exceedance per life cycle, as well as the further development of numerical methods to predict the ship response to the selected wave events.