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...
主要作者: | M. Hakan Arslan |
---|---|
格式: | Article |
語言: | English |
出版: |
Copernicus Publications
2009-06-01
|
叢編: | Natural Hazards and Earth System Sciences |
在線閱讀: | http://www.nat-hazards-earth-syst-sci.net/9/967/2009/nhess-9-967-2009.pdf |
相似書籍
-
Predicting the Ultimate Load Capacity of R.C. Beams by ANN
由: Majid A. AL – Jurmaa
出版: (2011-03-01) -
Predicting the Ultimate Load Capacity of R.C. Beams by ANN
由: Majid Majid A. AL-Jurmaa
出版: (2013-04-01) -
Determination of displacement and failure loads formed in reinforced concrete construction with overhang and without overhang by ANN modeling
由: Donduren Mahmud Sami
出版: (2012-06-01) -
Parameters Affect Flexural Mechanism to Prevent Progressive Collapse of RC Buildings
由: Z.M. Najem, et al.
出版: (2023-07-01) -
A Hybrid ANN-GA Model for an Automated Rapid Vulnerability Assessment of Existing RC Buildings
由: Mehmet Akif Bülbül, et al.
出版: (2022-05-01)