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Mathematical Problems in Engineering
Volume 2016, Article ID 6858697, 9 pages
http://dx.doi.org/10.1155/2016/6858697
Research Article

Structural Safety Monitoring of High Arch Dam Using Improved ABC-BP Model

Yantao Zhu,1,2,3 Chongshi Gu,1,2,3 Erfeng Zhao,1,2,3 Jintao Song,1,2,3 and Zhiyun Guo1,2,3

1State Key Laboratory of Hydrology, Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China
2National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Hohai University, Nanjing 210098, China
3College of Water Conservancy and Hydropower, Hohai University, Nanjing 210098, China

Received 30 June 2016; Revised 28 August 2016; Accepted 29 August 2016

Academic Editor: Filippo Ubertini

Copyright © 2016 Yantao Zhu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The establishment of a structural safety monitoring model of a dam is necessary for the evaluation of the dam’s deformation status. The structural safety monitoring method based on the monitoring data is widely used in traditional research. On the basis of the analysis of the high arch dam’s deformation principles, this study proposes a structural safety monitoring method derived from the dam deformation monitoring data. The method first analyzes and establishes the spatial and temporal distribution of high arch dam’s safety monitoring, overcoming the standard artificial bee colony (ABC) algorithm’s shortcoming of easily falling into the local optimum by adopting the adaptive proportion and average Euclidean distance afterwards. The improved ABC algorithm is used to optimize the backpropagation (BP) neural network’s initial weight and threshold. The application example proves that ABC-BP model’s improvement method is important for the establishment of a high arch deformation safety monitoring model and can effectively improve the model’s fitting and forecasting ability. This method provides a reference for the establishment of a structural safety monitoring model of dam and provides guidance for the establishment of a forecasting model in other fields.