Volume 36, Number 1 (9-2017)                   JCME 2017, 36(1): 1-17 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Ghiasi R, Ghasemi M R, Sohrabi M R. Structural Damage Detection using Frequency Response Function Index and Surrogate Model Based on Optimized Extreme Learning Machine Algorithm. JCME. 2017; 36 (1) :1-17
URL: http://jcme.iut.ac.ir/article-1-678-en.html

1- School of Engineering, Sistan Balouchestan University, Sistan Balouchestan, Iran , rghiasi.s@gmail.com
2- School of Engineering, Sistan Balouchestan University, Sistan Balouchestan, Iran
Abstract:   (93 Views)
Utilizing surrogate models based on artificial intelligence methods for detecting structural damages has attracted the attention of many researchers in recent decades. In this study, a new kernel based on Littlewood-Paley Wavelet (LPW) is proposed for Extreme Learning Machine (ELM) algorithm to improve the accuracy of detecting multiple damages in structural systems.  ELM is used as metamodel (surrogate model) of exact finite element analysis of structures in order to efficiently reduce the computational cost through updating process. In the proposed two-step method, first a damage index, based on Frequency Response Function (FRF) of the structure, is used to identify the location of damages. In the second step, the severity of damages in identified elements is detected using ELM. In order to evaluate the efficacy of ELM, the results obtained from the proposed kernel were compared with other kernels proposed for ELM as well as Least Square Support Vector Machine algorithm. The solved numerical problems indicated that ELM algorithm accuracy in detecting structural damages is increased drastically in case of using LPW kernel.
Full-Text [PDF 505 kb]   (31 Downloads)    
Type of Study: Research | Subject: Special
Received: 2017/09/5 | Accepted: 2017/09/5 | Published: 2017/09/5

Add your comments about this article : Your username or email:
Write the security code in the box

Send email to the article author

© 2015 All Rights Reserved | Computational Methods in Engineering

Designed & Developed by : Yektaweb