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THE ANALYSIS OF TIME DEPENDENT DEFORMATION IN R. C. MEMBERS BY ARTIFICIAL NEURAL NETWORK

By Ömer Civalek

Abstract

In the past ten years, Artificial neural networks have emerged as analysis and solving technique with capabilities suited to many structural analysis problems. Diverse problems in engineering may be solved accurately with computers. In structural engineering many solution techniques exist. Artificial neural networks have evolved as a new computing paradigm, and many engineering applications have been studied. In this paper the time dependent deformation such as; creep, shrinkage, in R. C. members have been calculated by means of Artificial Neural Network (ANN) and the results have been compared with the experimental study given by other authors

Topics: Yapay sinir ağları, Zamana bağlı deformasyon, Beton, Engineering (General). Civil engineering (General), TA1-2040
Publisher: Pamukkale University
Year: 1997
OAI identifier: oai:doaj.org/article:f1fcfab0edd247d895582c0fa1dd8fa9
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