Volume 10 article 216 pages: 21 - 26

Published: Apr 25, 2017

DOI: 10.5937/jaes10-1660

PREPARING A DATA BASE FOR ESTIMATING SEISMIC DAMAGE ON BUILDINGS BY APPLYING ANN

Igor Pesko
Igor Pesko
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∙ Jasmina Drazic
Jasmina Drazic
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∙ Vladimir Mucenski
Vladimir Mucenski
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∙ Milan Trivunic
Milan Trivunic
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Abstract

Seismic risk in urban areas increases over time, so the research projects on all the aspects of seismic safety carried out currently are numerous. In order to plan preventive measures, the estimation of possible damages on buildings plays a significant role. This paper describes preparation of a data base for predicting seismic damage category by applying artificial neural networks (ANN). The base will be defined relying upon the available data from the reports after the earthquake in Kraljevo (03/11/2010).

Keywords

earthquake damage data base artificial neural networks

Acknowledgements

The work reported in this paper is a part of the research within the research project TR 36043 “Development and application of a comprehensive approach to the design of new and safety assessment of existing structures for seismic risk reduction in Serbia”, supported by the Ministry for Science and Technology, Republic of Serbia. This support is gratefully acknowledged.

References

W.S. McCulloch, W.A. Pitts: „A logical calculus of the ideas immanent in nervous activity“, Bulletin of Mathematical Biophysics ,Vol.5, 1943, p.115-133

 J.H. Garret: „Where and why artificial neural networks are applicable in civil engineering“, ASCE, Journal of Computing in Civil En-gineering [special issue], Vol.8, 1994; 129¬130

http://www.seismo.gov.rs/Vesti/Izvestaj.pdf (Report on results and activities of the Seismological survey of Serbia after the earthquake near Kraljevo on 03.11.2010 at 01:56 )

http://www.ingkomora.org.rs/vesti/?id=16-11-2010-001 (Instructions for determining category and damage level on earthquake- hit residential buildings, Serbian Chamber of Engineers)

J. Drazic: “The Analysis of Interaction of Functional and Structural Building Properties in Aseismic Designing”, Doctoral dissertation, University of Novi Sad, Faculty of Technical Sciences, Novi Sad, 2005. (in Serbian)