| contributor author | Anjuman Shahriar | |
| contributor author | Moncef L. Nehdi | |
| date accessioned | 2017-05-08T21:55:36Z | |
| date available | 2017-05-08T21:55:36Z | |
| date copyright | December 2011 | |
| date issued | 2011 | |
| identifier other | %28asce%29mt%2E1943-5533%2E0000374.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/66702 | |
| description abstract | An artificial neural network (ANN) model was developed to predict the rheological properties of oil well cement slurries. The slurries were prepared by using Class G oil well cement with a water-cement ratio ( | |
| publisher | American Society of Civil Engineers | |
| title | Modeling Rheological Properties of Oil Well Cement Slurries Using Artificial Neural Networks | |
| type | Journal Paper | |
| journal volume | 23 | |
| journal issue | 12 | |
| journal title | Journal of Materials in Civil Engineering | |
| identifier doi | 10.1061/(ASCE)MT.1943-5533.0000340 | |
| tree | Journal of Materials in Civil Engineering:;2011:;Volume ( 023 ):;issue: 012 | |
| contenttype | Fulltext | |
