| 基于应变能均化指标和云模型的结构损伤识别 |
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| 引用本文： | 郭惠勇,张鑫,王玉山.基于应变能均化指标和云模型的结构损伤识别[J].土木与环境工程学报,2018,40(4):121-127. |
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| 作者姓名： | 郭惠勇 张鑫 王玉山 |
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| 作者单位： | 重庆大学 山地城镇建设与新技术教育部重点实验室;土木工程学院, 重庆 400045,重庆大学 山地城镇建设与新技术教育部重点实验室;土木工程学院, 重庆 400045,石河子大学 水利建筑工程学院, 新疆 石河子 832003 |
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| 基金项目： | 国家自然科学基金（51578094、51468058） |
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| 摘 要： | 为了解决测量噪声等引起的损伤识别不确定问题，提出了基于应变能均化指标和云模型相结合的识别方法。分析了结构的模态应变能以及两种损伤指标，并考虑到模态应变能耗散率指标和等效指标之间的互补性质，通过均化方法建立了模态应变能均化指标；给出了云模型的基本理论，分析了云模型的数字特征、云处理算法以及确定度计算方法；结合随机测量噪声等引起的不确定性问题，建立了基于应变能均化指标和云模型的损伤识别方法。数值计算结果表明，应变能均化指标的识别结果略优于应变能耗散率指标和应变能等效指标，当考虑随机测量噪声时，云模型与应变能均化指标相结合的方法可以较好地进行含噪数据的损伤识别。
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| 关 键 词： | 损伤识别 云模型 均化指标 应变能 确定度函数 |
| 收稿时间： | 2017/9/18 0:00:00 |
Structural damage identification based on modal strain energy mean index and cloud model |
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| Guo Huiyong,Zhang Xin and Wang Yushan.Structural damage identification based on modal strain energy mean index and cloud model[J].Journal of Civil and Environmental Engineering,2018,40(4):121-127. |
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| Authors: | Guo Huiyong Zhang Xin and Wang Yushan |
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| Affiliation: | Key Laboratory of New Technology for Construction of Cities in Mountain Area, Ministry of Education;School of Civil Engineering, Chongqing University, Chongqing 400045, P. R. China,Key Laboratory of New Technology for Construction of Cities in Mountain Area, Ministry of Education;School of Civil Engineering, Chongqing University, Chongqing 400045, P. R. China and School of Water Conservancy & Architectural Engineering, Shihezi University, Shihezi 832003, Xinjiang, P. R. China |
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| Abstract: | In order to solve the uncertain damage problem caused by measurement noise, a damage identification method based on modal strain energy mean index(MSEMI) and cloud model is presented. First, structural modal strain energy and two kinds of damage indexes are analyzed. Considering that modal strain energy dissipation ratio index (MSEDRI) and modal strain energy equivalence index (MSEEI) are complementary, a MSEMI is proposed through the mean value method. Then, some basic theories of cloud model are introduced, and numerical characteristic estimation, cloud processing algorithm and certainty function are analyzed. Finally, the damage identification method based on MSEMI and cloud model is presented to solve the uncertain damage problem. Simulation results show that the identification results of the proposed MSEMI are better than those from both MSEDRI and MSEEI, and the damage identification method based on MSEMI and cloud model can solve the uncertain damage problem caused by measurement noise. |
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| Keywords: | damage identification cloud model mean index strain energy certainty fucntion |
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