Volume 12, Issue 1 (1-2022)                   IJOCE 2022, 12(1): 69-89 | Back to browse issues page

XML Print


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

Sarjamei S, Sajjad Massoudi M, Esfandi Sarafraz M. DAMAGE DETECTION OF TRUSS STRUCTURES VIA GOLD RUSH OPTIMIZATION ALGORITHM. IJOCE 2022; 12 (1) :69-89
URL: http://ijoce.iust.ac.ir/article-1-505-en.html
Abstract:   (8325 Views)
The damage identification of truss constructions was investigated in this work. Damage detection is defined through an inverse optimization problem. A function defined as a combination of mode shapes and natural frequencies is examined to minimize damage structures. This guided approach considerably reduces the computational cost and increases the accuracy of optimization. This index mostly exhibits an acceptable performance. Gold Rush Optimization (GRO), an artificial intelligence system based on the power of human thinking and decision-making, was employed to address damage detection. The programming was done in MATLAB. Validation and verification were carried out using a 10, 25, 200, 272, and 582 bar truss. A comparison between the GRO, MCSS, PSO and TLBO is conducted to show the efficiency of the GRO in finding the global optimum. The results show that utilizing the proposed function and the GRO optimization technique to discover truss damaged structure in the quickest time possible is both reliable and stable.
Full-Text [PDF 1321 kb]   (3252 Downloads)    
Type of Study: Research | Subject: Applications
Received: 2022/01/22 | Accepted: 2022/01/20 | Published: 2022/01/20

Add your comments about this article : Your username or Email:
CAPTCHA

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Iran University of Science & Technology

Designed & Developed by : Yektaweb