Structural Damage Detection Based on Improved Multi-Particle Swarm Co-Evolution Optimization Algorithm

This chapter presents an improved multi-particle swarm co-evolution optimization algorithm (IMPSCO) to detect structural damage. Firstly, IMPSCO is integrated with Newmark's algorithm for damage detection and system identification, which just need few sensors. In addition, for reducing the sear...

Full description

Saved in:
Bibliographic Details
Main Authors: Jiang, Shaofei (Author), Ma, Shenglan (Author)
Format: Ebooks
Published: IntechOpen, 2017-06-21.
Subjects:
Online Access:Get Online
Tags: Add Tag
No Tags, Be the first to tag this record!
LEADER 02070 am a22002053u 4500
001 intechopen_books_5874
042 |a dc 
100 1 0 |a Jiang, Shaofei  |e author 
700 1 0 |a Ma, Shenglan  |e author 
245 0 0 |a Structural Damage Detection Based on Improved Multi-Particle Swarm Co-Evolution Optimization Algorithm 
260 |b IntechOpen,   |c 2017-06-21. 
500 |a https://mts.intechopen.com/articles/show/title/structural-damage-detection-based-on-improved-multi-particle-swarm-co-evolution-optimization-algorit 
520 |a This chapter presents an improved multi-particle swarm co-evolution optimization algorithm (IMPSCO) to detect structural damage. Firstly, IMPSCO is integrated with Newmark's algorithm for damage detection and system identification, which just need few sensors. In addition, for reducing the searching parameters, a two-stage damage detection method based on modal strain energy and IMPSCO is presented. In order to validate the proposed method, a seven-story steel frame experiment in laboratory conditions is performed and a comparison is made between the proposed approach and genetic algorithm (GA). The results show that: (1) the proposed methods can not only effectively locate damage location but also accurately quantify the damage severity. Besides, it has excellent noise-tolerance and adaptability; (2) for integrating IMPSCO and Newmark's algorithm, it implements only by using any kinds of structural time-series responses and the excitation force; (3) compared with genetic algorithm, IMPSCO is more efficient and robust for damage detection with a better noise-tolerance. 
540 |a https://creativecommons.org/licenses/by/3.0/ 
546 |a en 
690 |a Structural Health Monitoring - Measurement Methods and Practical Applications 
655 7 |a Chapter, Part Of Book  |2 local 
786 0 |n https://www.intechopen.com/books/5874 
787 0 |n ISBN:978-953-51-3253-0 
856 \ \ |u https://mts.intechopen.com/articles/show/title/structural-damage-detection-based-on-improved-multi-particle-swarm-co-evolution-optimization-algorit  |z Get Online