| contributor author | Li, Xinhong | |
| contributor author | Li, Sihan | |
| contributor author | Zhang, Renren | |
| contributor author | Liu, Peihua | |
| date accessioned | 2026-08-20T11:49:15Z | |
| date available | 2026-08-20T11:49:15Z | |
| date copyright | 2025/10/27 | |
| date issued | 2026 | |
| identifier other | AJRUA6.RUENG-1597.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4312714 | |
| description abstract | AbstractFracture failure in supercritical CO2 transportation pipelines can arise from contaminants, third-party damage, or welding
defects, primarily due to the unique phase properties of the conveying medium. This
study presents a probabilistic fracture ... | |
| publisher | American Society of Civil Engineers | |
| title | Dynamic Bayesian Network–Based Approach for Probabilistic Fracture Failure Assessment of Supercritical CO2 Transportation Pipelines | |
| type | Journal Article | |
| journal volume | 12 | |
| journal issue | 1 | |
| journal title | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering | |
| identifier doi | 10.1061/AJRUA6.RUENG-1597 | |
| journal fristpage | 04025092-1 | |
| journal lastpage | 04025092-10 | |
| page | 10 | |
| tree | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2026:;Volume ( 012 ):;issue: 001 | |
| contenttype | Fulltext | |