Volume 4, Issue 1 (3-2014)                   2014, 4(1): 77-91 | Back to browse issues page

XML Print

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

Gholizad A, Ojaghzadeh Mohammadi S D. STRUCTURAL RESPONSE OBSERVER BASED ON ARTIFICIAL NEURAL NETWORK. International Journal of Optimization in Civil Engineering. 2014; 4 (1) :77-91
URL: http://ijoce.iust.ac.ir/article-1-163-en.html
Abstract:   (13854 Views)
Structural vibration control is one of the most important features in structural engineering. Real-time information about seismic resultant forces is required for deciding module of intelligent control systems. Evaluation of lateral forces during an earthquake is a complicated problem considering uncertainties of gravity loads amount and distribution and earthquake characteristics. An artificial neural network (ANN) has been trained in this article to estimate these forces. This ANN was trained on the results of time history analysis of a three-story building under 702 different loadings. Results of numerical examples verify that the trained ANN can predict the expected forces with negligible deviations.
Full-Text [PDF 766 kb]   (3001 Downloads)    
Type of Study: Research | Subject: Applications
Received: 2014/04/3 | Accepted: 2014/04/3 | Published: 2014/04/3

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

© 2021 CC BY-NC 4.0 | Iran University of Science & Technology

Designed & Developed by : Yektaweb