摘要
复合桶型基础是一种新型风电基础结构,其稳定性需要进一步验证。结合三峡大丰海上风电场建设工程开展原位监测,基于多向倾角自动化监测系统并结合数值模拟,研究了结构在安装运行过程中的倾角和姿态变化规律。结果表明复合桶型基础在复合荷载和风机运行工况下是稳定的,最大倾角满足不超过0.5°的稳定性条件。风机在安装下沉期间的倾角波动幅度和频率较大,该阶段的稳定性监测和控制是重点。随着安装完成,风机姿态逐渐趋于稳定,并在风浪流荷载作用下缓慢演变,其演变路径规律可以反映出复合桶型基础的力学响应特性。
The composite bucket foundation is a new type of wind power infrastructure,and its stability needs to be further verified.The in-situ monitoring of the construction project of Dafeng Offshore Wind Power Plant by China Three Gorges Corporation is carried out.Based on the multi-directional inclination automatic monitoring system and numerical simulation,the variation rules of the inclination and attitude of the structures in the process of installation and operation are studied.The results show that the composite bucket foundation under compound loads and fan operation is stable,and the largest inclination meets the condition of the stability of less than 0.5°.The amplitude and frequency of angle fluctuation are relatively large during sinking installation,which is the key stage of stability monitoring and control.With the completion of installation,the attitude of wind turbine gradually tends to be stable,and slowly evolves under the action of wind,waves and currents.The evolution path laws can reflect the mechanical response characteristics of the composite bucket foundation.
作者
关云飞
韩迅
曹永勇
刘永刚
唐译
朱洵
张晨
李鹏飞
GUAN Yun-fei;HAN Xun;CAO Yong-yong;LIU Yong-gang;TANG Yi;ZHU Xun;ZHANG Chen;LI Peng-fei(Department of Geotechnical Engineering,Nanjing Hydraulic Research Institute,Nanjing 210024,China;Shanghai Municipal Engineering Construction Development Co.,Ltd.,Shanghai 200025,China;Jiangsu Daoda Wind Power Engineering Technology Co.,Ltd.,Nantong 226000,China;Chongqing Jiaotong University,Chongqing 400074,China)
出处
《岩土工程学报》
EI
CAS
CSCD
北大核心
2020年第S01期27-31,共5页
Chinese Journal of Geotechnical Engineering
基金
国家自然科学基金项目(51609147)
南京水利科学研究院院基金项目(Y319006,Y317011,Y319012)
重庆市教委科学技术研究项目(KJQN201800741)
重庆市基础科学与前沿技术研究项目(cstc2017jcyjAX0353)
关键词
复合桶型基础
风电
倾角监测
数值模拟
composite bucket foundation
wind power
inclination monitoring
numerical analysis