| 桥梁健康监测损伤诊断方法研究 |
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| 引用本文： | 张振平,马跃,尹锡军.桥梁健康监测损伤诊断方法研究[J].铁路计算机应用,2010,19(6):36-38. |
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| 作者姓名： | 张振平 马跃 尹锡军 |
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| 作者单位： | 山东交通职业学院,潍坊,261206%河北省交通规划设计院,试验检测室,石家庄,050091 |
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| 摘 要： | 本文选用RBF神经网络实现对桥跨结构的损伤评估,并采用基于MATLAB的最小二秉法曲线拟合预测特征参数的发展趋势.通过对实际测试结果分析,表明系统性能良好,能够客观地对桥梁整体结构作出评估.
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| 关 键 词： | 健康监测 损伤诊断 RBF神经网络 |
| 收稿时间： | 2010-06-15 |
Research on damage identification of health monitoring for bridge |
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| ZHANG Zhen-ping,MA Yue,YIN Xi-jun.Research on damage identification of health monitoring for bridge[J].Railway Computer Application,2010,19(6):36-38. |
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| Authors: | ZHANG Zhen-ping MA Yue YIN Xi-jun |
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| Institution: | 1.Shandong Transport Vocational College,Weifang 261206,China;2.Department of Experiment and Detection,Hebei Provincial Communications Planning and Design Institute,Shijiazhuang 050091,China) |
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| Abstract: | The RBF neural network was selected to achieve the damage assessment of bridge span,then the Least-Squares curve-fitting method based on MATLAB was used to predict the developing trend of the characteristic parameters.Through analysis of actually testing results,the System was in good performance and could make the assessment objectively to bridge structure. |
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| Keywords: | health monitoring damage identification RBF neural network |
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