|Table of Contents|

Strain Monitoring Data Restoring of Large-span Steel Skybridge Based on BP Neural Network(PDF)

《建筑科学与工程学报》[ISSN:1673-2049/CN:61-1442/TU]

Issue:
2009年01期
Page:
101-106
Research Field:
Publishing date:
2009-03-20

Info

Title:
Strain Monitoring Data Restoring of Large-span Steel Skybridge Based on BP Neural Network
Author(s):
ZHAO Xin1;  JIA Jing2;  ZHENG Yi-min1
1. Architectural Design & Research Institute, Tongji University, Shanghai 200092, China; 2. School of Civil Engineering, Tongji University, Shanghai 200092, China
Keywords:
performance monitoring;  correlation analysis;  BP neural network;  data restoring;  data missing;  reference point;  steel skybridge
PACS:
TU317
DOI:
-
Abstract:
In order to solve the problem of strain monitoring data absence in performance monitoring of large-span steel skybridge, the data restoring was carried out by using BP neural networks. Firstly, based on correlation analysis, five reference points which were most correlative with the data missing points were obtained, then the data of both reference points and data missing point in the stage were simulated and verified. All data were separated into two subsets: one for training the BP neural network model, and the other for validating the model. The missing data were restored by using the trained BP neural networks. Finally, the integrated strain monitoring data were gained, and the correlation coefficients of the data missing point and each reference point were calculated; comparing the correlation coefficients, the performance of data restoring was evaluated. The results show that this method can restore the missing strain monitoring data effectively.

References:

[1] 张刚刚,王春生,徐 岳.基于径向基函数神经网络的斜拉桥损伤识别[J].长安大学学报:自然科学版,2006,26(1):49-53. ZHANG Gang-gang,WANG Chun-sheng,XU Yue.Damage Detection of Cable-stayed Bridge Based on RBF Neural Networks[J].Journal of Chang'an University:Natural Science Edition,2006,26(1):49-53.
[2]谭冬莲,肖汝诚.基于改进Gauss-Newton法的在役桥梁结构参数识别[J].长安大学学报:自然科学版,2007,27(4):57-60. TAN Dong-lian,XIAO Ru-cheng.Parameter Identification of Existing Bridge Structure Based on Improved Gauss-Newton Algorithm[J].Journal of Chang'an University:Natural Science Edition,2007,27(4):57-60.
[3]谭冬莲,肖汝诚.桥梁监测系统中梁桥静力应变传感器的优化配置[J].长安大学学报:自然科学版,2007,27(5):66-69. TAN Dong-lian,XIAO Ru-cheng.Optimal Placement of Static Strain Sensors of Beam Bridge Structure in Bridge Monitoring System[J].Journal of Chang'an University:Natural Science Edition,2007,27(5):66-69.
[4]郭 琦,贺拴海,白 云.基于神经网络的简支梁桥预应力衰减评估模型[J].长安大学学报:自然科学版,2007,27(6):53-57. GUO Qi,HE Shuan-hai,BAI Yun.Evaluation Model on Prestress Attenuation of Simple Span Bridges Based on Neural Networks[J].Journal of Chang'an University:Natural Science Edition,2007,27(6):53-57.
[5]叶爱文,谢慧才.混凝土中钢筋直径雷达检测的神经网络方法[J].建筑科学与工程学报,2008,25(4):105-110. YE Ai-wen,XIE Hui-cai.Neural Network Method of Diameter Detection of Rebar in Concrete by Using GPR[J].Journal of Architecture and Civil Engineering,2008,25(4):105-110.
[6]张 杨,李国强.通用频率指纹库在固接梁损伤定位中的应用[J].建筑科学与工程学报,2005,22(4):40-44. ZHANG Yang,LI Guo-qiang.Application of Universal Bank ofNatural Frequency Indexes in Damage Location of Beams with Fixed Ends[J].Journal of Architecture and Civil Engineering,2005,22(4):40-44.
[7]常 军.基于曲率模态的钢筋混凝土梁多点损伤位置识别[J].建筑科学与工程学报,2006,23(4):24-27. CHANG Jun.Curvature Model Based Many Damage Locations Identification of Reinforced Concrete Beam[J].Journal of Architecture and Civil Engineering,2006,23(4):24-27.
[8]叶见曙,张 剑,赵新铭.基于Novozhilov-柔度理论的连续弯箱梁桥位移参数Kalman滤波识别[J].中国公路学报,2007,20(5):65-70. YE Jian-shu,ZHANG Jian,ZHAO Xin-ming.Kalman Filtering Identification for Displacement Parameters of Continuous Curved Box Girder Bridge Based on Novozhilov-flexibility Theory[J].China Journal of Highway and Transport,2007,20(5):65-70.
[9]瞿伟廉,滕 军,项海帆,等.风力作用下深圳市民中心屋顶网架结构的智能健康监测[J].建筑结构学报,2006,27(1):1-8. QU Wei-lian,TENG Jun,XIANG Hai-fan,et al. Intelligent Health Monitoring for Roof Space Truss Structure of the Shenzhen Citizen Center Under Wind Load[J].Journal of Building Structures,2006,27(1):1-8.
[10]胡顺仁,陈伟民,章 鹏,等.基于RBF神经网络的桥梁挠度数据恢复研究[J].仪器仪表学报,2006,27(12):1605-1608. HU Shun-ren,CHEN Wei-min,ZHANG Peng,et al.Research of Bridge Deflection Restoring Based on RBF Neural Networks[J].Chinese Journal of Scientific Instrument,2006,27(12):1605-1608.
[11]FU J Y,LIANG S G,LI Q S.Prediction of Wind-induced Pressures on a Large Gymnasium Roof Using Artificial Neural Networks[J].Computers and Structures,2007,85(3/4):179-192.
[12]AGRAWAL R,IMIELINSKI T,SWAMI A N.Mining Association Rules Between Sets of Items in Large Databases[C]//BUNEMAN P,JAJODIA S.Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data.New York:ACM Press,1993:207-216.
[13]田景文,高美娟.人工神经网络算法研究及应用[M].北京:北京理工大学出版社,2006. TIAN Jing-wen,GAO Mei-juan.Algorithms and Applications of Artificial Neural Networks[M].Beijing:Beijing Institute of Technology Press,2006.
[14]DEMUTH H,BEALE M.Neural Network Toolbox for Use with Matlab[M].Natick:The Mathworks Inc,1994.
[15]闻 新.MATLAB神经网络仿真与应用[M].北京:科学出版社,2003. WEN Xin.Simulation and Application of MATLAB Neural Networks[M].Beijing:Science Press,2003.

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Last Update: 2009-03-20