Knowledge-based prediction of shear strength of concrete beams without shear reinforcement
- 1 June 2008
- journal article
- Published by Elsevier in Engineering Structures
- Vol. 30 (6) , 1515-1525
- https://doi.org/10.1016/j.engstruct.2007.10.008
Abstract
No abstract availableKeywords
This publication has 15 references indexed in Scilit:
- Field calibration of time-dependent behavior in segmental bridges using self-learning simulationEngineering Structures, 2007
- Predicting the effect of stirrups on shear strength of reinforced normal-strength concrete (NSC) and high-strength concrete (HSC) slender beams using artificial intelligenceCanadian Journal of Civil Engineering, 2006
- Evaluation of shear capacity of FRP reinforced concrete beams using artificial neural networksSmart Structures and Systems, 2006
- A neural network model for predicting maximum shear capacity of concrete beams without transverse reinforcementCanadian Journal of Civil Engineering, 2005
- Predicting shear capacity of NSC and HSC slender beams without stirrups using artificial intelligenceComputers & concrete, 2005
- Shear design procedure for reinforced normal and high-strength concrete beams using artificial neural networks. Part I: beams without stirrupsEngineering Structures, 2004
- Shear design procedure for reinforced normal and high-strength concrete beams using artificial neural networks. Part II: beams with stirrupsEngineering Structures, 2004
- Predicting the shear strength of reinforced concrete beams using artificial neural networksEngineering Structures, 2004
- Simulating size effect on shear strength of RC beams without stirrups using neural networksEngineering Structures, 2004
- Prediction of Ultimate Shear Strength of Reinforced-Concrete Deep Beams Using Neural NetworksJournal of Structural Engineering, 2001