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Classification of Earthquake-Induced Damage for RC Slab Column Frames Using Multiclass SVM and Its Combination with MLP Neural Network
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-23
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Nonlinear time history analysis (NTHA) is an important engineering method in order to evaluate the seismic vulnerability of buildings under earthquake loads.
However, it is time consuming and requires complex calculations and a high memory machine.
In this study, two networks were used for damage classification: multiclass support vector machine (M-SVM) and combination of multilayer perceptron neural network with M-SVM (MM-SVM).
In order to collect data, three frames of R/C slab column frame buildings with wide beams in slab were considered.
For NTHA, twenty different ground motion records were selected and scaled to ten different levels of peak ground acceleration (PGA).
Thus, 600 obtained data from the numerical simulations were applied to M-SVM and MM-SVM in order to predict the global damage classification of samples based on park and Ang damage index.
Amongst the four different kernel tricks, the Gaussian function was determined as an efficient kernel trick using the maximum total accuracy method of test data.
By comparing the obtained results from M-SVM and MM-SVM, the total classification accuracy of MM-SVM is more than M-SVM and it is accurate and reliable for global damage classification of R/C slab column frames.
Furthermore, the proposed combined model is able to classify the classes with low members.
American Psychological Association (APA)
Kia, Ali& Sensoy, Sarhan. 2014. Classification of Earthquake-Induced Damage for RC Slab Column Frames Using Multiclass SVM and Its Combination with MLP Neural Network. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-494374
Modern Language Association (MLA)
Kia, Ali& Sensoy, Sarhan. Classification of Earthquake-Induced Damage for RC Slab Column Frames Using Multiclass SVM and Its Combination with MLP Neural Network. Mathematical Problems in Engineering No. 2014 (2014), pp.1-14.
https://search.emarefa.net/detail/BIM-494374
American Medical Association (AMA)
Kia, Ali& Sensoy, Sarhan. Classification of Earthquake-Induced Damage for RC Slab Column Frames Using Multiclass SVM and Its Combination with MLP Neural Network. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-494374
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-494374