| contributor author | Chun Sheng | |
| contributor author | Wang | |
| contributor author | Long | |
| contributor author | Hao | |
| contributor author | Bing Ning | |
| contributor author | Fu | |
| date accessioned | 2017-05-08T21:35:24Z | |
| date available | 2017-05-08T21:35:24Z | |
| date copyright | November 2012 | |
| date issued | 2012 | |
| identifier other | %28asce%29be%2E1943-5592%2E0000357.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/56899 | |
| description abstract | Through modern nondestructive inspection (NDI) techniques, fatigue cracks can be detected with varying accuracies in steel bridge structures, and consequently assessment and updating of fatigue reliability can be performed. A probabilistic fracture mechanics method based on the Bayes theorem using information from NDI has been demonstrated to update the relevant parameters of crack growth models effectively. Using the probabilistic characteristics of the NDI techniques, the probabilistic fatigue failure method, and the Bayes theorem, a procedure for assessing and updating the fatigue reliability of existing steel bridge components is presented. Data collected from two steel bridges, the Zhejiang Street Bridge and Ganjiang River Bridge, are used to illustrate the fatigue reliability assessment and updating method. In the case study, the suspender | |
| publisher | American Society of Civil Engineers | |
| title | Fatigue Reliability Updating Evaluation of Existing Steel Bridges | |
| type | Journal Paper | |
| journal volume | 17 | |
| journal issue | 6 | |
| journal title | Journal of Bridge Engineering | |
| identifier doi | 10.1061/(ASCE)BE.1943-5592.0000354 | |
| tree | Journal of Bridge Engineering:;2012:;Volume ( 017 ):;issue: 006 | |
| contenttype | Fulltext | |