Prediction of Inelastic Response Spectra Using Artificial Neural Networks
Joint Authors
Ruiz, Sonia E.
Bojórquez, Juan
Reyes-Salazar, Alfredo
Bojórquez, Edén
Source
Mathematical Problems in Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-10-30
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Several studies have been oriented to develop methodologies for estimating inelastic response of structures; however, the estimation of inelastic seismic response spectra requires complex analyses, in such a way that traditional methods can hardly get an acceptable error.
In this paper, an Artificial Neural Network (ANN) model is presented as an alternative to estimate inelastic response spectra for earthquake ground motion records.
The moment magnitude (MW), fault mechanism (FM), Joyner-Boore distance (dJB), shear-wave velocity (Vs30), fundamental period of the structure (T1), and the maximum ductility (μu) were selected as inputs of the ANN model.
Fifty earthquake ground motions taken from the NGA database and recorded at sites with different types of soils are used during the training phase of the Feedforward Multilayer Perceptron model.
The Backpropagation algorithm was selected to train the network.
The ANN results present an acceptable concordance with the real seismic response spectra preserving the spectral shape between the actual and the estimated spectra.
American Psychological Association (APA)
Bojórquez, Edén& Bojórquez, Juan& Ruiz, Sonia E.& Reyes-Salazar, Alfredo. 2012. Prediction of Inelastic Response Spectra Using Artificial Neural Networks. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-1029863
Modern Language Association (MLA)
Bojórquez, Edén…[et al.]. Prediction of Inelastic Response Spectra Using Artificial Neural Networks. Mathematical Problems in Engineering No. 2012 (2012), pp.1-15.
https://search.emarefa.net/detail/BIM-1029863
American Medical Association (AMA)
Bojórquez, Edén& Bojórquez, Juan& Ruiz, Sonia E.& Reyes-Salazar, Alfredo. Prediction of Inelastic Response Spectra Using Artificial Neural Networks. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-1029863
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1029863