| contributor author | A. Alipour | |
| contributor author | A. Jafari | |
| contributor author | S. M. F. Hossaini | |
| date accessioned | 2017-05-08T21:45:21Z | |
| date available | 2017-05-08T21:45:21Z | |
| date copyright | April 2012 | |
| date issued | 2012 | |
| identifier other | %28asce%29gm%2E1943-5622%2E0000137.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/61523 | |
| description abstract | Drilling and blasting method has been used for many years in underground excavations and still is very popular because of its many advantages. Blast performance is ordinarily measured by specific charge and by explosive consumption of broken rock. The empirical models are available for estimation of specific charge and different sets of parameters. This paper presents the possibility of applying artificial neural networks (ANNs) to estimate the specific charge in various conditions of tunnel blasting. Among available existing parameters in the literature, some of the most influencing parameters are selected. After running different models, | |
| publisher | American Society of Civil Engineers | |
| title | Application of ANNs and MVLRA for Estimation of Specific Charge in Small Tunnel | |
| type | Journal Paper | |
| journal volume | 12 | |
| journal issue | 2 | |
| journal title | International Journal of Geomechanics | |
| identifier doi | 10.1061/(ASCE)GM.1943-5622.0000125 | |
| tree | International Journal of Geomechanics:;2012:;Volume ( 012 ):;issue: 002 | |
| contenttype | Fulltext | |
