| 基于虚拟变形法的车-桥耦合系统移动质量识别 |
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| 引用本文： | 张青霞,段忠东.基于虚拟变形法的车-桥耦合系统移动质量识别[J].力学学报,2011,43(3):598-610. |
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| 作者姓名： | 张青霞 段忠东 |
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| 作者单位： | 1. 大连民族学院土木建筑工程学院;2. 哈尔滨工业大学土木工程学院;3. Smart-Tech Centre, Institute of Fundamental Technological Research, Polish Academy of Sciences, 02-106, Warsaw, Poland; |
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| 基金项目： | 国家自然科学基金(50579008); TEAM项目“Smart&Safe”(TEAM/2008-1/4); 欧洲地区发展基金资助项目(POIG.0101.02-00-013/08-00)~~ |
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| 摘 要： | 利用双自由度质量-弹簧阻尼模型模拟移动车辆, 并基于虚拟变形(VDM)方法的结构快速重分
析思想, 提出一种车-桥耦合系统的移动质量快速识别的有效方法. 该方法以双自由度车体模
型的质量为变量, 通过最小化桥体结构实测响应和计算响应的平方距离来识别移动质量
(载荷), 避免了识别载荷时常遇到的病态问题, 对噪声鲁棒性强, 且需要传感器信息少. 每步优化
中, 利用在VDM方法基础上提出的移动动态影响矩阵概念, 无需时时重构车-桥耦合系统的时
变系统参数矩阵, 显著提高了计算效率. 利用数值框架梁模型, 通过比较不同车辆简化模型
对移动体质量及等效移动载荷的识别效果, 验证了该方法的可行性和有效性, 即使在5%
的噪声影响下, 利用一个传感器可以准确地识别多个移动体的质量.
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| 关 键 词： | 结构健康监测 移动车辆识别 结构重分析 虚拟变形法 影响矩阵 |
| 收稿时间： | 2009-07-31 |
| 修稿时间： | 2010-06-07 |
MOVING MASS IDENTIFICATION OF VEHICLE-BRIDGE COUPLED SYSTEM BASED ON VIRTUAL DISTORTION METHOD |
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| Zhang Qingxia
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Duan Zhongdong
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Lukasz Jankowski.MOVING MASS IDENTIFICATION OF VEHICLE-BRIDGE COUPLED SYSTEM BASED ON VIRTUAL DISTORTION METHOD[J].chinese journal of theoretical and applied mechanics,2011,43(3):598-610. |
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| Authors: | Zhang Qingxia Duan Zhongdong Lukasz Jankowski |
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| Institution: | 1. College of Civil and Architecture Engineering, Dalian Nationalities University, Dalian 116600, China;2. School of Civil Engineering, Harbin Institute of Technology, Harbin 150090, China;3. Smart-Tech Centre, Institute of Fundamental Technological Research, Polish Academy of Sciences, 02-106, Warsaw, Poland; |
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| Abstract: | In the inverse analysis of vehicle-bridge coupled system,moving vehicle(load) identification is a crucial problem.Traditionally moving vehicles are identified by identifying the equivalent moving forces,which is a well-known ill-conditioning problem,and hence is sensitive to noise.Moreover identification of moving forces require the number of sensors equal to or bigger than the number of unknown forces to obtain the unique solution.In order to avoid these drawbacks,this paper presents an effective method to... |
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| Keywords: | structural health monitoring moving vehicle identification structural reanalysis virtual distortion method influence matrix |
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