| 基于支持向量机的钢框架结构损伤定位试验研究 |
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| 引用本文： | 张颖,戚世蕾,方有亮.基于支持向量机的钢框架结构损伤定位试验研究[J].科学技术与工程,2018,18(7). |
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| 作者姓名： | 张颖 戚世蕾 方有亮 |
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| 作者单位： | 河北大学建筑工程学院,河北大学建筑工程学院,河北大学建筑工程学院 |
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| 基金项目： | 河北省自然基金(E2017201221)；河北省教育厅项目(Z2014178)河北大学自然科学研究计划项目(799207217112) |
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| 摘 要： | 钢框架截面损伤会引起结构的模态频率发生变化。这里以钢框架模型的试验模态频率作为支持向量机的训练和测试样本的输入,由支持向量机输出判断结构损伤位置。研究表明,将支持向量机识别技术与常规的结构模态频率分析相结合,能够有效地识别钢框架结构损伤位置。该算法对损伤位置敏感,且识别精度较高。
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| 关 键 词： | 损伤定位 支持向量机 频率 试验 |
| 收稿时间： | 2017/7/15 0:00:00 |
| 修稿时间： | 2017/10/27 0:00:00 |
Research on steel frame structure damage location based on support vector machine |
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| zhangying,qishilei and.Research on steel frame structure damage location based on support vector machine[J].Science Technology and Engineering,2018,18(7). |
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| Authors: | zhangying qishilei and |
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| Abstract: | The modal frequency of steel frame structure will be changed when it has been destroyed .In this paper, the test mode frequency of the steel frame model is used as the input of the training and test sample of the support vector machine, and it is determined by the support vector machine output. Test data and the analysis of support vector machine (SVM) identification results show that support vector machine (SVM) in combination with the method of modal frequency, the steel frame structure damage location can be effectively identified, and the method is sensitive to damage location and the identification accuracy is higher. |
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| Keywords: | damage identification support vector machine frequency experiment |
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