MATEC Web Conf.
Volume 120, 2017International Conference on Advances in Sustainable Construction Materials & Civil Engineering Systems (ASCMCES-17)
|Number of page(s)||10|
|Section||Sustainable Structural Systems|
|Published online||09 August 2017|
Artificial earthquake record generation using cascade neural network
1 Civil Engineering, Jordan University of Science & Technology, Irbid, Jordan
2 Civil Engineering, Yarmouk University, Irbid, Jordan.
* Corresponding author: email@example.com
This paper presents the results of using artificial neural networks (ANN) in an inverse mapping problem for earthquake accelerograms generation. This study comprises of two parts: 1-D site response analysis; performed for Dubai Emirate at UAE, where eight earthquakes records are selected and spectral matching are performed to match Dubai response spectrum using SeismoMatch software. Site classification of Dubai soil is being considered for two classes C and D based on shear wave velocity of soil profiles. Amplifications factors are estimated to quantify Dubai soil effect. Dubai’s design response spectra are developed for site classes C & D according to International Buildings Code (IBC -2012). In the second part, ANN is employed to solve inverse mapping problem to generate time history earthquake record. Thirty earthquakes records and their design response spectrum with 5% damping are used to train two cascade forward backward neural networks (ANN1, ANN2). ANN1 is trained to map the design response spectrum to time history and ANN2 is trained to map time history records to the design response spectrum. Generalized time history earthquake records are generated using ANN1 for Dubai’s site classes C and D, and ANN2 is used to evaluate the performance of ANN1.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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