| 基于满意度的液体质量双调谐减振器参数优化及应用 |
| |
| 引用本文： | 王波,汪正兴,陈开利,郭翠翠.基于满意度的液体质量双调谐减振器参数优化及应用[J].地震工程与工程振动,2011,31(6):186-190. |
| |
| 作者姓名： | 王波 汪正兴 陈开利 郭翠翠 |
| |
| 作者单位： | 1. 武汉大学土木工程博士后流动站,湖北武汉430072;中铁大桥局集团武汉桥梁科学研究院有限公司,湖北武汉430034;桥梁结构安全与健康湖北省重点实验室,湖北武汉430034
2. 中铁大桥局集团武汉桥梁科学研究院有限公司,湖北武汉430034;桥梁结构安全与健康湖北省重点实验室,湖北武汉430034 |
| |
| 基金项目： | 江西省交通运输厅科技项目 |
| |
| 摘 要： | 为探讨多重液体质量双调谐阻尼器(MTLMD)参数优化算法,引入满意度理论,以满意度水平为目标函数,建立了主结构与MTLMD系统动力放大系数的三参量改进型加权满意度方程.对南京大胜关长江大桥吊杆结构MTLMD系统最优阻尼比及频率比等参数进行优化分析,得出了满意度水平、信心指数及最优参数之间的相互关系.研究结果表明:以满意...
|
| 关 键 词： | 满意度 TLMD 动力放大系数 参数优化 |
Parametric optimization and application of MTLMD system based on improved weighted satisfaction degree theory |
| |
| WANG Bo,WANG Zhengxing,CHEN Kaili,GUO Cuicui.Parametric optimization and application of MTLMD system based on improved weighted satisfaction degree theory[J].Earthquake Engineering and Engineering Vibration,2011,31(6):186-190. |
| |
| Authors: | WANG Bo WANG Zhengxing CHEN Kaili GUO Cuicui |
| |
| Institution: | 2,3(1.Postdoctoral Mobile Station of Civil Engineering,Wuhan University,Wuhan 430072,China; 2.Bridge Science Research Institute Ltd.,China Zhongtie Major Bridge Engineering Group,Wuhan 430034,China; 3.Hubei Key Laboratory of Bridge Structure Safety and Health,Wuhan 430034,China) |
| |
| Abstract: | To investigate the parametric optimization algorithm of multiple tuned liquid mass damper,the three parameters improved weighted satisfaction degree equation with dynamic magnification factor of main structure and MTLMD system is established by using satisfaction degree objective function.The optimal damping ratio and frequncy ratio of MTLMD system with the suspenders on Dashengguan Bridge across the Yangtze River in Nanjing are analyzed,and the relationship with the satisfaction degree,confidence index and optimized parameters are obtained.The research indicates:the optimization algorithm with satisfaction degree index is to transmit the optimization objective to the realization of the maximum value of the minimal satisfaction degree essentially,the results obtained by using this algorithm is better than that with traditional optimization method,and this new algorithm makes MTLMD system optimization objective much more clear and intelligent.The results can be applied to engineering practice. |
| |
| Keywords: | satisfaction degree TLMD dynamic magnification factor parametric optimization |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
