Neural-Network Applications for Analysis of Infilled Frame

Muhiddin, Bağcı (2012) Neural-Network Applications for Analysis of Infilled Frame. In: 3rd International Symposium on Sustainable Development, May 31 - June 01 2012, Sarajevo.

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Abstract

The modelling of infilled frames is complex due to the large number of variables as well as the non-linear material behaviour involved. Artificial Neural Network (ANN) is found to be a tool capable of solving such problems. This has led to the increasing use of ANN for analysing infilled reinforced concrete frames. This paper reports the details of a study conducted using ANN for predicting the failure of an infilled reinforced concrete infilled frame subjected to lateral loading. Using the data generated based on analytical solutions, the ANN model was trained. The so trained model was tested for different set of input parameters and the output values were compared with the actual values based on analytical results. The agreement was found to be good. Keywords:. Artificial Neural Network (ANN), Infilled Frame, Equivalent strut method

Item Type: Conference or Workshop Item (Paper)
Subjects: H Social Sciences > H Social Sciences (General)
T Technology > T Technology (General)
Divisions: Faculty of Economics > Management Department
Depositing User: Users 173 not found.
Date Deposited: 22 Oct 2012 08:32
Last Modified: 22 Oct 2012 08:32
URI: http://eprints.ibu.edu.ba/id/eprint/1202

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