Article(id=1309639381376398124, tenantId=1146029695717560320, journalId=1146119893612605453, issueId=1309639371255542472, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1704988800000, receivedDateStr=2024-01-12, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1790171960442, onlineDateStr=2026-09-23, pubDate=1763568000000, pubDateStr=2025-11-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1790171960442, onlineIssueDateStr=2026-09-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1790171960442, creator=13701087609, updateTime=1790171960442, updator=13701087609, issue=Issue{id=1309639371255542472, tenantId=1146029695717560320, journalId=1146119893612605453, year='2025', volume='43', issue='11', pageStart='1421', pageEnd='1562', issueExtLink='null', onlineDate='null', pubDate='1763568000000', pubDateStr='2025-11-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1790171958030, creator='13701087609', updateTime=1790231751141, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1309890161824063505, tenantId=1146029695717560320, journalId=1146119893612605453, issueId=1309639371255542472, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1309890161824063506, tenantId=1146029695717560320, journalId=1146119893612605453, issueId=1309639371255542472, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=1477, endPage=1484, ext={EN=ArticleExt(id=1309639381577724717, articleId=1309639381376398124, tenantId=1146029695717560320, journalId=1146119893612605453, language=EN, title=The dynamic response of 15 MW floating wind turbine based on nonstationary model, columnId=null, journalTitle=Renewable Energy Resources, columnName=null, runingTitle=null, highlight=null, articleAbstract=

To investigate the combined effect of different turbulence intensity wind fields and yaw faults on the dynamic response of IEA 15 MW wind turbines, the empirical mode decomposition (EMD) method was used to decompose the wind speed at the hub, analyze the differences between traditional stationary and non-stationary models, and study the non-stationary dynamic response of wind turbine blade root flapping moment, platform pitch and pitch under different operating conditions. Research has shown that the time-varying average term obtained through EMD decomposition can better describe the pulsating trend of wind power response. The non-stationary model used in the article improves the accuracy of wind power response calculation under different operating conditions; The mean flapping moment of the blade root gradually decreases with the yaw angle, and due to the stability of steady-state wind, the mean flapping moment of the blade root decreases with the increase of turbulence intensity. And its extreme value decreases first and then increases under the combined effect of turbulent wind field and yaw fault, indicating that the combined effect of the two causes the wind turbine structure to exhibit more severe non-stationary dynamic response. The pitch and heave of the platform gradually decrease with the increase of yaw angle under steady-state wind conditions. Compared with the normal turbulent conditions under steady-state wind conditions, the proportion of pitch and heave decrease decreases. However, under extreme turbulent conditions, the mean pitch increases at a 15° yaw angle, and the extreme and mean pitch increase at a 15° yaw angle. This indicates that in the event of a unit yaw failure, turbulent wind can increase the platform's motion response.

, authors=Chuanxin Hu^{1, 2}, Han Jiang¹, authorsList=Chuanxin Hu, Han Jiang, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1309639381766468398, articleId=1309639381376398124, tenantId=1146029695717560320, journalId=1146119893612605453, language=CN, title=基于非平稳模型的15 MW漂浮式风力机动力响应, columnId=0, journalTitle=可再生能源, columnName=, runingTitle=null, highlight=null, articleAbstract=

为研究不同湍流强度风场与偏航故障共同作用对IEA 15 MW风力机动力响应的影响，文章以经验模态分解（EMD）方法对其轮毂处风速进行分解，分析了传统平稳模型与非平稳模型之间的差异，研究了风力机叶根挥舞力矩、平台纵摇和纵荡在不同工况下的非平稳动力响应。研究结果表明：经过EMD分解后得到的时变平均项能够较好地描述风力机动力响应的脉动趋势，修正后的非平稳模型提高了不同工况下风力机动力响应计算的准确性；叶根挥舞力矩均值随偏航角逐渐减小，同时由于稳态风的稳定性，叶根挥舞力矩均值随湍流强度增大而减小，其极值在湍流风场与偏航故障共同作用下先减小后增大，说明两者的共同作用使得风力机结构出现了更剧烈的非平稳动力响应；在稳态风工况下，平台纵摇和纵荡随着偏航角度的增大逐渐减小，相较于稳态风正常湍流工况下的纵摇和纵荡下降比例变小，而极端湍流工况下，纵荡均值在15°偏航角下出现增大，纵摇极值与均值在15°偏航角下均增大，表明在机组偏航故障时，湍流风能够增大平台运动响应。

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^2.Hubei Provincial Engineering Research Center of Urban Regeneration, Wuhan University of Science and Technology, Wuhan 430065, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1309639382341088058, tenantId=1146029695717560320, journalId=1146119893612605453, articleId=1309639381376398124, authorId=1309639382177510198, language=CN, stringName=胡传新, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=^{1, 2}, address=^1．武汉科技大学 城市建设学院，湖北 武汉　430065
^2．武汉科技大学 城市更新湖北省工程研究中心，湖北 武汉　430065, bio={"content":"

胡传新（1987-），男，博士，副教授，研究方向为桥梁与结构风工程。E-mail: chuanxinhoo@126.com

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胡传新（1987-），男，博士，副教授，研究方向为桥梁与结构风工程。E-mail: chuanxinhoo@126.com

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