| 基于形函数方法快速识别结构动态荷载的试验验证 |
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| 引用本文： | 张青霞,,段忠东,&#,ukasz Jankowski.基于形函数方法快速识别结构动态荷载的试验验证[J].振动与冲击,2011,30(9):98-102. |
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| 作者姓名： | 张青霞 段忠东 &# ukasz Jankowski |
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| 作者单位： | 1.大连民族学院土木建筑工程学院，大连116600 ; 2.哈尔滨工业大学深圳研究生院，深圳518055; 3.哈尔滨工业大学土木工程学院，哈尔滨150090; 4.Smart-Tech Centre, Institute of Fundamental Technological Research, Polish Academy of Sciences, 02-106, Warsaw, Poland |
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| 基金项目： | 国家自然科学基金项目(50579008); Support of the Foundation for Polish Science through TEAM Programme‘Smart&Safe; co-financed by the EU European Regional Development Fund; support of Structural Funds in the Operational Programme—Innovative Economy(IEOP)financed from the European Regional Development Fund—Projects No POIG.0101.02-00-013/08-00(MONIT); 大连民族学院科研基金项目(20116207); 大连民族学院自主科研基金项目(DC10040116) |
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| 摘 要： | 在动态荷载识别中常常由于矩阵的病态性影响识别的精度，利用有限元理论中的形函数逼近荷载曲线，将识别离散的荷载历程转化为计算有限的形函数权重，从而显著改善反卷积法识别荷载中存在的采样时间长或采样频率高时数值求解困难的问题；并能改善反问题的病态性，提高对噪音的鲁棒性。一个连续梁的数值算例比较验证了该方法在5%的高斯噪声影响下能精确地识别未知荷载。悬臂梁试验中，通过实测的结构动态响应，在移动时间窗内利用荷载形函数方法可以实现激励的在线识别。
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| 关 键 词： | 结构健康监测 荷载识别 在线识别 反卷积法 形函数 |
Experimental validation of a fast dynamic load identification method based on load shape function |
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| Zhang Qing-xia,Duan Zhong-dong,&#,ukasz Jankowski.Experimental validation of a fast dynamic load identification method based on load shape function[J].Journal of Vibration and Shock,2011,30(9):98-102. |
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| Authors: | Zhang Qing-xia Duan Zhong-dong &# ukasz Jankowski |
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| Affiliation: | 1.School of Civil and architecture Engineering, dalian national university, dalian 116600, china;
2.harbin institute of technology shenzhen graduate school, shenzhen 5180553,china;
3.School of Civil Engineering, Harbin Institute of Technology, Harbin 150090, China4. Smart-Tech Centre, Institute of Fundamental Technological Research, Polish Academy of Sciences, 02-106, Warsaw, Poland |
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| Abstract: | A dynamic load identification method was introduced and complemented,in which the force was approximated by using the shape functions in the finite element theory.The computational work was reduced a lot by calculating the weights of shape functions instead of indentifying the discrete load time history and the performance of the deconvolution method in the condition of long sampling time period or high sampling frequency was improved.Moreover,the ill-conditioning of the inverse problem was corrected,and th... |
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| Keywords: | structural health monitoring load/force identification online identification deconvolution method shape function |
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