| contributor author | Rajiv | |
| contributor author | Gupta | |
| contributor author | Kartik | |
| contributor author | Goyal | |
| contributor author | Navneet | |
| contributor author | Yadav | |
| date accessioned | 2017-05-08T22:23:32Z | |
| date available | 2017-05-08T22:23:32Z | |
| date copyright | April 2016 | |
| date issued | 2016 | |
| identifier other | 43930031.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/79458 | |
| description abstract | Estimation of safe bearing capacity (SBC) of noncohesive soil based on Indian Standard Code requires a lot of field work, viz, conducting direct shear tests to determine cohesion and angle of internal friction, performing the standard penetration test to determine the | |
| publisher | American Society of Civil Engineers | |
| title | Prediction of Safe Bearing Capacity of Noncohesive Soil in Arid Zone Using Artificial Neural Networks | |
| type | Journal Paper | |
| journal volume | 16 | |
| journal issue | 2 | |
| journal title | International Journal of Geomechanics | |
| identifier doi | 10.1061/(ASCE)GM.1943-5622.0000514 | |
| tree | International Journal of Geomechanics:;2016:;Volume ( 016 ):;issue: 002 | |
| contenttype | Fulltext | |
