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Mathematical Problems in Engineering
Volume 2013, Article ID 101483, 9 pages
Research Article

Structural Damage Identification of Pipe Based on GA and SCE-UA Algorithm

1College of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China
2School of Naval Architecture Engineering, Dalian University of Technology, Dalian 116024, China
3College of Management and Economics, Tianjin University, Tianjin 300072, China
4Transportation Management College, Dalian Maritime University, Dalian 116026, China

Received 1 November 2013; Revised 8 November 2013; Accepted 10 November 2013

Academic Editor: Bin Yu

Copyright © 2013 Yaojin Bao 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.


Structure of offshore platform is very huge, which is easy to be with crack caused by a variety of environmental factors including winds, waves, and ice and threatened by some unexpected factors such as earthquake, typhoon, tsunami, and ship collision. Thus, as a main part of the jacket offshore platform, pipe is often with crack. However, it is difficult to detect the crack due to its unknown location. Genetic algorithm (GA) and SCE-UA algorithm are used to detect crack in this paper, respectively. In the experiment, five damages of the pipe in the platform model can be intelligently identified by genetic algorithm (GA) and SCE-UA. The network inputs are the differences between the strain mode shapes. The results of the two algorithms for structural damage diagnosis show that both of the two algorithms have high identification accuracy and good adaptability. Furthermore, the error of SCE-UA algorithm is smaller. The results also suggest that the structural damage of pipe can be identified by intelligent algorithm.