| 王博,何伟,李静斌.残余力向量法在结构损伤识别中的应用研究进展[J].实验力学,2010,25(1):47~54 |
| 残余力向量法在结构损伤识别中的应用研究进展 |
| Development and Application of Residual Force Vector Method in Structure Damage Identification |
| 投稿时间：2009-05-14 修订日期：2009-10-28 |
| DOI： |
| 中文关键词: 损伤识别 残余力向量法 研究进展 |
| 英文关键词:damage identification RFV method advance in research |
| 基金项目:高等学校博士学科点专项科研基金（200804590006）;河南省杰出人才计划项目（084200510003）;河南省陶行知研究会“十一五”规划2009年度重点课题（HNTY090049） |
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| 中文摘要: |
| 工程结构的损伤识别技术对于把握结构工作状态及评估结构的安全性与正常使用性能具有重要的意义。近年来基于残余力向量法的损伤识别技术受到了关注并取得了一定的研究成果。文章从基于残余力向量法的损伤识别技术、残余力向量法和灵敏度分析方法相结合、残余力向量法的改进、残余力向量法和人工神经网络技术的结合、残余力向量法和智能算法的融合等5个方面综述了目前国内外基于残余力向量法进行结构损伤识别研究的成果。并根据残余力向量法应用上存在的问题展望了应用残余力向量法进行结构损伤识别时在如何减小误差；如何克服测试信息不完备的影响；如何进行实际工程损伤识别的研究以及残余力向量法的改进以及残余力向量法和智能算法结合等方面的发展趋势。 |
| 英文摘要: |
| In engineering the structure damage identification technology is of great significance to grasp structure working condition and to assess its safety and normal service performance. In recent years, the method based on residual force vector (RFV) and applied in structure damage identification has been concerned and some achievements were achieved. This paper summarized the achievements of RFV method and applications in structure damage identification from following 5 aspects, including RFV method, combined RFV with sensitivity analysis method, improved RFV method, combined RFV with artificial neural network technology, compromised RFV and intelligent algorithm. According to the problems emerged from the application of RFV used in structural damage identification, the development trend of RFV method was predicted, such as the error reduction, the overcoming of influences of incomplete measurements data, the application of RFV in actual project, the improvement of RFV, the combining of RFV method with other intelligence algorithms and so on. |
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