| 运用概率神经网络对混凝土拱坝进行损伤位置的识别 |
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| 引用本文： | 赵琛,王柏生.运用概率神经网络对混凝土拱坝进行损伤位置的识别[J].江南大学学报(自然科学版),2005,4(5):504-508. |
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| 作者姓名： | 赵琛 王柏生 |
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| 作者单位： | 浙江大学,建筑工程学院,浙江,杭州,310027 |
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| 摘 要： | 大型水利工程的灾难性事故多由大坝的微小裂缝发展而成,在运行期间对混凝土坝的裂缝进行监测十分重要.提出了基于振动测试数据用概率神经网络对混凝土拱坝进行损伤检测,并针对一混凝土拱坝进行损伤识别的数值模拟分析,结果表明基于振动测试数据利用概率神经网络识别混凝土拱坝的损伤位置是可行的.
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| 关 键 词： | 概率神经网络 混凝土拱坝 损伤检测 噪声 |
| 文章编号： | 1671-7147（2005）05-0504-05 |
| 收稿时间： | 2004-10-08 |
| 修稿时间： | 2004-10-082004-11-03 |
Research on Concrete arch Dam Damage Localization Using Probabilistic Neural Network |
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| ZHAO Chen,WANG Bai-sheng.Research on Concrete arch Dam Damage Localization Using Probabilistic Neural Network[J].Journal of Southern Yangtze University:Natural Science Edition,2005,4(5):504-508. |
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| Authors: | ZHAO Chen WANG Bai-sheng |
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| Institution: | College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310027, China |
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| Abstract: | Disaster of great hydraulic engineering is often caused by little structural crack.It is important to observe the crack of the concrete dam in its service period.In this paper,the probabilistic neural network(PNN) is employed to locate the damage of concrete dam,and the numerical simulation for a concrete arch dam is given.The results show that it is possible to practically locate the damage in concrete arch dams by using PNN. |
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| Keywords: | probabilistic neural network concrete arch dam damage localizatiom noise |
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