Volume 4, Issue 1 (3-2014)
IJOCE 2014, 4(1): 77-91 |
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Gholizad A, Ojaghzadeh Mohammadi S D. STRUCTURAL RESPONSE OBSERVER BASED ON ARTIFICIAL NEURAL NETWORK. IJOCE 2014; 4 (1) :77-91
URL: http://ijoce.iust.ac.ir/article-1-163-en.html
URL: http://ijoce.iust.ac.ir/article-1-163-en.html
Abstract: (22109 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.
Keywords: Structural vibration control, Dynamic response estimation, Multilayer perceptron artificial neural network
Type of Study: Research |
Subject:
Applications
Received: 2014/04/3 | Accepted: 2014/04/3 | Published: 2014/04/3
Received: 2014/04/3 | Accepted: 2014/04/3 | Published: 2014/04/3
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