| contributor author | Jamal A. Abdalla | |
| contributor author | Rami A. Hawileh | |
| date accessioned | 2017-05-08T21:40:33Z | |
| date available | 2017-05-08T21:40:33Z | |
| date copyright | September 2013 | |
| date issued | 2013 | |
| identifier other | %28asce%29cp%2E1943-5487%2E0000192.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/59161 | |
| description abstract | The fatigue life of steel reinforcing bars depends on the energy dissipated during cyclic loading. Steel bars play a major role in energy dissipation in reinforced concrete structures under low-cycle fatigue loading during earthquakes. In this study, seven artificial neural network (ANN) models were developed to predict the fatigue life of steel bars based on energy dissipated in the first cycle ( | |
| publisher | American Society of Civil Engineers | |
| title | Artificial Neural Network Predictions of Fatigue Life of Steel Bars Based on Hysteretic Energy | |
| type | Journal Paper | |
| journal volume | 27 | |
| journal issue | 5 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/(ASCE)CP.1943-5487.0000185 | |
| tree | Journal of Computing in Civil Engineering:;2013:;Volume ( 027 ):;issue: 005 | |
| contenttype | Fulltext | |