Application of ANN to evaluate effective parameters affecting failure load and displacement of RC buildings

Application of ANN to evaluate effective parameters affecting failure load and displacement of RC buildings

This study investigated the efficiency of an artificial neural network (ANN) in predicting and determining failure load and failure displacement of multi story reinforced concrete (RC) buildings. The study modeled a RC building with four stories and three bays, with a load bearing system composed of...

書誌詳細
第一著者:	M. Hakan Arslan
フォーマット:	論文
言語:	English
出版事項:	Copernicus Publications 2009-06-01
シリーズ:	Natural Hazards and Earth System Sciences
オンライン･アクセス:	http://www.nat-hazards-earth-syst-sci.net/9/967/2009/nhess-9-967-2009.pdf

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