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...
Hoofdauteur: | M. Hakan Arslan |
---|---|
Formaat: | Artikel |
Taal: | English |
Gepubliceerd in: |
Copernicus Publications
2009-06-01
|
Reeks: | Natural Hazards and Earth System Sciences |
Online toegang: | http://www.nat-hazards-earth-syst-sci.net/9/967/2009/nhess-9-967-2009.pdf |
Gelijkaardige items
-
Predicting the Ultimate Load Capacity of R.C. Beams by ANN
door: Majid A. AL – Jurmaa
Gepubliceerd in: (2011-03-01) -
Predicting the Ultimate Load Capacity of R.C. Beams by ANN
door: Majid Majid A. AL-Jurmaa
Gepubliceerd in: (2013-04-01) -
Determination of displacement and failure loads formed in reinforced concrete construction with overhang and without overhang by ANN modeling
door: Donduren Mahmud Sami
Gepubliceerd in: (2012-06-01) -
Parameters Affect Flexural Mechanism to Prevent Progressive Collapse of RC Buildings
door: Z.M. Najem, et al.
Gepubliceerd in: (2023-07-01) -
A Hybrid ANN-GA Model for an Automated Rapid Vulnerability Assessment of Existing RC Buildings
door: Mehmet Akif Bülbül, et al.
Gepubliceerd in: (2022-05-01)