| contributor author | Wang, Hexian | |
| contributor author | Guo, Lingyun | |
| contributor author | Chen, Bo | |
| contributor author | Niffenegger, Markus | |
| date accessioned | 2026-08-20T12:05:21Z | |
| date available | 2026-08-20T12:05:21Z | |
| date copyright | 2025/09/24 | |
| date issued | 2026 | |
| identifier other | JPSEA2.PSENG-1886.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4313082 | |
| description abstract | AbstractThis paper proposes a novel pipeline burst pressure prediction model, transformer–bidirectional
long short-term memory (BiLSTM)–Gaussian noise (GN) model (TBGN), to address the complex
nonlinear coupling of elastic-plastic deformation and fracture ... | |
| publisher | American Society of Civil Engineers | |
| title | Novel Intelligent Deep Learning Model for Predicting the Burst Pressure of Pipelines with Outer Axial Surface Cracks | |
| type | Journal Article | |
| journal volume | 17 | |
| journal issue | 1 | |
| journal title | Journal of Pipeline Systems Engineering and Practice | |
| identifier doi | 10.1061/JPSEA2.PSENG-1886 | |
| journal fristpage | 04025084-1 | |
| journal lastpage | 04025084-13 | |
| page | 13 | |
| tree | Journal of Pipeline Systems Engineering and Practice:;2026:;Volume ( 017 ):;issue: 001 | |
| contenttype | Fulltext | |
