| 强迫振动法大跨度桥梁节段模型气动导数辨识 |
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| 引用本文： | 程忠宇,张琦,陈政清,于向东.强迫振动法大跨度桥梁节段模型气动导数辨识[J].国防科技大学学报,2003,25(5):22-25. |
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| 作者姓名： | 程忠宇 张琦 陈政清 于向东 |
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| 作者单位： | 1. 国防科技大学航天与材料工程学院,湖南,长沙,410073
2. 中南大学土木学院,湖南,长沙,410075 |
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| 基金项目： | 国家自然科学基金资助项目(59778043) |
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| 摘 要： | 研制了桥梁节段模型颤振导数测定的二维强迫振动实验装置,采用变频调速技术实现对振动频率的控制,模型惯性力、气动力的测量采用了特殊设计的测力元件,模型运动用压电式加速度计进行测量。实验时,模型分别作单自由度的竖弯或扭转的简谐运动,通过测量模型所受到的气动力及模型位移,应用谱分析方法和非线性曲线拟合算法实现了对八个颤振气动导数的辨识,并通过平板模型实验数据与Theodorsen理想平板数据及国外文献数据对比对实验装置及辨识算法进行了检验。
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| 关 键 词： | 强迫振动 节段模型 颤振导数 参数辨识 风洞实验 |
| 文章编号： | 1001-2486(2003)05-0022-04 |
| 收稿时间： | 2003/5/19 0:00:00 |
| 修稿时间： | 2003年5月19日 |
Identification of Flutter Derivatives of Long-Span Bridge Section-Model from Forced Vibration Datas |
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| CHENG Zhongyu,ZhANG qi,CHEN Zhengqing and YU Xiangdong.Identification of Flutter Derivatives of Long-Span Bridge Section-Model from Forced Vibration Datas[J].Journal of National University of Defense Technology,2003,25(5):22-25. |
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| Authors: | CHENG Zhongyu ZhANG qi CHEN Zhengqing and YU Xiangdong |
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| Institution: | 1.College of Aerospace and Materials Engineering, National Univ. of Defense Technology, Changsha 410073, China;1.College of Aerospace and Materials Engineering, National Univ. of Defense Technology, Changsha 410073, China;2.Institute of Constructions, Central South University, Changsha 410075,China;2.Institute of Constructions, Central South University, Changsha 410075,China |
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| Abstract: | A 2-D forced-vibration driver for ADs identification of long-span bridge section-model has been developed, by which the section-model is forced to perform 1-D or coupled torsional/vertical sinusoidal motion. In each test, lift force and torsional moment are both measured by force balances, the motions of the model are measured by accelerators, then the eight ADs are obtained by a hybrid method of spectrum analysis and non-linear optimization. The results of a flat plate sectional model obtained in wind tunnel tests by this driver are compared with the solutions of Theodorson flat plate and other published datas,the comparison shows that all of the datas share the same trends. |
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| Keywords: | forced vibration section-model Flutter derivatives parameter identification Wind tunnel tests |
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