{"title":"海洋可持续能源系统可靠性分析的新预测方法","authors":"Yingguang Wang","doi":"10.1680/jmaen.2022.003","DOIUrl":null,"url":null,"abstract":"With the motivation to overcome the shortcomings of the traditional approaches, in this paper, we have proposed to utilize an exponentiated Weibull distribution for fitting the significant wave height data in order to more accurately calculate the sea state parameter distribution tails and to extrapolate well. Our proposal has been applied in predicting the probability distribution tails of a measured ocean wave dataset, and its accuracy has been clearly demonstrated. This proposal has subsequently been utilized in combination with Monte Carlo sampling to form a new environmental contour method for deriving a 50-year contour line based on the aforementioned measured ocean wave dataset. The derived environmental contour line has been compared with that predicted by using a traditional contour line approach, and the engineering significances of using a more reliable environmental contour line such as the one derived using our proposed new method for predicting the long-term design force values for an ocean sustainable energy system have been highlighted. In conclusion, our proposed new environmental contour method is recommended to be utilized for predicting the extreme dynamic response values for the safe and successful design of ocean sustainable energy systems.","PeriodicalId":54575,"journal":{"name":"Proceedings of the Institution of Civil Engineers-Maritime Engineering","volume":"42 1","pages":""},"PeriodicalIF":1.0000,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A new prediction method for reliability analysis of ocean sustainable energy systems\",\"authors\":\"Yingguang Wang\",\"doi\":\"10.1680/jmaen.2022.003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the motivation to overcome the shortcomings of the traditional approaches, in this paper, we have proposed to utilize an exponentiated Weibull distribution for fitting the significant wave height data in order to more accurately calculate the sea state parameter distribution tails and to extrapolate well. Our proposal has been applied in predicting the probability distribution tails of a measured ocean wave dataset, and its accuracy has been clearly demonstrated. This proposal has subsequently been utilized in combination with Monte Carlo sampling to form a new environmental contour method for deriving a 50-year contour line based on the aforementioned measured ocean wave dataset. The derived environmental contour line has been compared with that predicted by using a traditional contour line approach, and the engineering significances of using a more reliable environmental contour line such as the one derived using our proposed new method for predicting the long-term design force values for an ocean sustainable energy system have been highlighted. In conclusion, our proposed new environmental contour method is recommended to be utilized for predicting the extreme dynamic response values for the safe and successful design of ocean sustainable energy systems.\",\"PeriodicalId\":54575,\"journal\":{\"name\":\"Proceedings of the Institution of Civil Engineers-Maritime Engineering\",\"volume\":\"42 1\",\"pages\":\"\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2022-11-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Institution of Civil Engineers-Maritime Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1680/jmaen.2022.003\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Institution of Civil Engineers-Maritime Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1680/jmaen.2022.003","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
A new prediction method for reliability analysis of ocean sustainable energy systems
With the motivation to overcome the shortcomings of the traditional approaches, in this paper, we have proposed to utilize an exponentiated Weibull distribution for fitting the significant wave height data in order to more accurately calculate the sea state parameter distribution tails and to extrapolate well. Our proposal has been applied in predicting the probability distribution tails of a measured ocean wave dataset, and its accuracy has been clearly demonstrated. This proposal has subsequently been utilized in combination with Monte Carlo sampling to form a new environmental contour method for deriving a 50-year contour line based on the aforementioned measured ocean wave dataset. The derived environmental contour line has been compared with that predicted by using a traditional contour line approach, and the engineering significances of using a more reliable environmental contour line such as the one derived using our proposed new method for predicting the long-term design force values for an ocean sustainable energy system have been highlighted. In conclusion, our proposed new environmental contour method is recommended to be utilized for predicting the extreme dynamic response values for the safe and successful design of ocean sustainable energy systems.
期刊介绍:
Maritime Engineering publishes technical papers relevant to civil engineering in port, estuarine, coastal and offshore environments.
Relevant to consulting, client and contracting engineers as well as researchers and academics, the journal focuses on safe and sustainable engineering in the salt-water environment and comprises papers regarding management, planning, design, analysis, construction, operation, maintenance and applied research. The journal publishes papers and articles from industry and academia that conveys advanced research that those developing, designing or constructing schemes can begin to apply, as well as papers on good practices that others can learn from and utilise.