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

  • Igor Peško Fakultet tehničkih nauka, Novi Sad
  • Jasmina Dražić Fakultet tehničkih nauka, Novi Sad
  • Vladimir Mučenski Fakultet tehničkih nauka, Novi Sad
  • Milan Trivunić Fakultet tehničkih nauka, Novi Sad
DOI: https://doi.org/10.5937/jaes10-1660
Keywords: seismics, neural-networks, artificial neural networks, data base, damage, earthquake,

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).

Key words

earthquake, damage, data base, artificial neural networks

Published
2012/03/23
Issue
Vol. 10 No. 1 (2012)
Section
Original Scientific Paper