{"title":"基于多学科可靠性的海上浮式风力机支撑结构及调谐质量阻尼器设计优化","authors":"Tong Chang , Yongbo Peng","doi":"10.1016/j.ress.2025.111715","DOIUrl":null,"url":null,"abstract":"<div><div>Using vibration control technology such as tuned mass-damper-inerter (TMDI) is an effective method in achieving the safety and cost-effectiveness of floating offshore wind turbines (FOWTs) in deep-sea environment. However, existing research needs refinement for the integrated design of FOWT support structure and TMDI. To this end, a multidisciplinary reliability-based design optimization (RBDO) of the FOWT-TMDI system, i.e., simultaneous design optimization of FOWT support structure and TMDI, subjected to stochastic wind and wave loads is carried out in this study. To accelerate optimization, surrogate models based on deep neural networks and order-prediction-oriented schemes are used. For illustrative purposes, the site-specific design optimization of the FOWT-TMDI system under the harsh environment in the South China Sea is considered. Subsequently, embedded improvements are made to the NSGA-II algorithm to address the multidisciplinary RBDO problem. Numerical results reveal the advantages of the simultaneous design optimization of the FOWT support structure and TMDI through multidisciplinary RBDO, e.g., the cost of the support structures decreased by about 10 % while maintaining the relatively small tower top displacements. Moreover, through the multidisciplinary RBDO, the efficiency of TMDI is higher than that through the step-by-step design optimization, and the cost of the support structure is lower, thus achieving a win-win situation.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"266 ","pages":"Article 111715"},"PeriodicalIF":11.0000,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multidisciplinary reliability-based design optimization of floating offshore wind turbine support structure and tuned mass-damper-inerter\",\"authors\":\"Tong Chang , Yongbo Peng\",\"doi\":\"10.1016/j.ress.2025.111715\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Using vibration control technology such as tuned mass-damper-inerter (TMDI) is an effective method in achieving the safety and cost-effectiveness of floating offshore wind turbines (FOWTs) in deep-sea environment. However, existing research needs refinement for the integrated design of FOWT support structure and TMDI. To this end, a multidisciplinary reliability-based design optimization (RBDO) of the FOWT-TMDI system, i.e., simultaneous design optimization of FOWT support structure and TMDI, subjected to stochastic wind and wave loads is carried out in this study. To accelerate optimization, surrogate models based on deep neural networks and order-prediction-oriented schemes are used. For illustrative purposes, the site-specific design optimization of the FOWT-TMDI system under the harsh environment in the South China Sea is considered. Subsequently, embedded improvements are made to the NSGA-II algorithm to address the multidisciplinary RBDO problem. Numerical results reveal the advantages of the simultaneous design optimization of the FOWT support structure and TMDI through multidisciplinary RBDO, e.g., the cost of the support structures decreased by about 10 % while maintaining the relatively small tower top displacements. Moreover, through the multidisciplinary RBDO, the efficiency of TMDI is higher than that through the step-by-step design optimization, and the cost of the support structure is lower, thus achieving a win-win situation.</div></div>\",\"PeriodicalId\":54500,\"journal\":{\"name\":\"Reliability Engineering & System Safety\",\"volume\":\"266 \",\"pages\":\"Article 111715\"},\"PeriodicalIF\":11.0000,\"publicationDate\":\"2025-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Reliability Engineering & System Safety\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0951832025009159\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Reliability Engineering & System Safety","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0951832025009159","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
Multidisciplinary reliability-based design optimization of floating offshore wind turbine support structure and tuned mass-damper-inerter
Using vibration control technology such as tuned mass-damper-inerter (TMDI) is an effective method in achieving the safety and cost-effectiveness of floating offshore wind turbines (FOWTs) in deep-sea environment. However, existing research needs refinement for the integrated design of FOWT support structure and TMDI. To this end, a multidisciplinary reliability-based design optimization (RBDO) of the FOWT-TMDI system, i.e., simultaneous design optimization of FOWT support structure and TMDI, subjected to stochastic wind and wave loads is carried out in this study. To accelerate optimization, surrogate models based on deep neural networks and order-prediction-oriented schemes are used. For illustrative purposes, the site-specific design optimization of the FOWT-TMDI system under the harsh environment in the South China Sea is considered. Subsequently, embedded improvements are made to the NSGA-II algorithm to address the multidisciplinary RBDO problem. Numerical results reveal the advantages of the simultaneous design optimization of the FOWT support structure and TMDI through multidisciplinary RBDO, e.g., the cost of the support structures decreased by about 10 % while maintaining the relatively small tower top displacements. Moreover, through the multidisciplinary RBDO, the efficiency of TMDI is higher than that through the step-by-step design optimization, and the cost of the support structure is lower, thus achieving a win-win situation.
期刊介绍:
Elsevier publishes Reliability Engineering & System Safety in association with the European Safety and Reliability Association and the Safety Engineering and Risk Analysis Division. The international journal is devoted to developing and applying methods to enhance the safety and reliability of complex technological systems, like nuclear power plants, chemical plants, hazardous waste facilities, space systems, offshore and maritime systems, transportation systems, constructed infrastructure, and manufacturing plants. The journal normally publishes only articles that involve the analysis of substantive problems related to the reliability of complex systems or present techniques and/or theoretical results that have a discernable relationship to the solution of such problems. An important aim is to balance academic material and practical applications.