PREDICTION OF SITE RESPONSE SPECTRUM UNDER EARTHQUAKE VIBRATION USING AN OPTIMIZED DEVELOPED ARTIFICIAL NEURAL NETWORK MODEL
2016 (English)In: ADVANCES IN SCIENCE AND TECHNOLOGY-RESEARCH JOURNAL, ISSN 2299-8624, Vol. 10, no 30, 76-83 p.Article in journal (Refereed) PublishedText
Site response spectrum is one of the key factors to determine the maximum acceleration and displacement, as well as structure behavior analysis during earthquake vibrations. The main objective of this paper is to develop an optimized model based on artificial neural network (ANN) using five different training algorithms to predict nonlinear site response spectrum subjected to Silakhor earthquake vibrations is. The model output was tested for a specified area in west of Iran. The performance and quality of optimized model under all training algorithms have been examined by various statistical, analytical and graph analyses criteria as well as a comparison with numerical methods. The observed adaptabilities in results indicate a feasible and satisfactory engineering alternative method for predicting the analysis of nonlinear site response.
Place, publisher, year, edition, pages
SOC POLISH MECHANICAL ENGINEERS & TECHNICIANS , 2016. Vol. 10, no 30, 76-83 p.
nonlinear, site response spectrum, optimized ANN model, Iran, analyses criteria
Engineering and Technology
IdentifiersURN: urn:nbn:se:kth:diva-188710DOI: 10.12913/22998624/62920ISI: 000376675800009OAI: oai:DiVA.org:kth-188710DiVA: diva2:939853
QC 201606202016-06-202016-06-172016-06-20Bibliographically approved