| contributor author | Limao Zhang | |
| contributor author | Xianguo Wu | |
| contributor author | Miroslaw J. Skibniewski | |
| date accessioned | 2017-05-08T22:31:21Z | |
| date available | 2017-05-08T22:31:21Z | |
| date copyright | July 2016 | |
| date issued | 2016 | |
| identifier other | 48299724.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/81974 | |
| description abstract | This paper develops a hybrid simulation approach that integrates a dynamic default tree (DFT) and discrete-time Bayesian network (DTBN) to support tunnel boring machine (TBM) performance prediction and diagnosis. A causal network model consisting of 20 nodes is built to simulate shield cutter head failure over time during the TBM operation. A total of three indicators, namely, | |
| publisher | American Society of Civil Engineers | |
| title | Simulation-Based Analysis of Tunnel Boring Machine Performance in Tunneling Excavation | |
| type | Journal Paper | |
| journal volume | 30 | |
| journal issue | 4 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/(ASCE)CP.1943-5487.0000542 | |
| tree | Journal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 004 | |
| contenttype | Fulltext | |
