| contributor author | Verdín Martinez, Adrián | |
| contributor author | Sosa Hernandez, Eliceo | |
| contributor author | Alamilla Lopez, Jorge Luis | |
| contributor author | Liu, Hongbo | |
| date accessioned | 2026-08-20T12:06:14Z | |
| date available | 2026-08-20T12:06:14Z | |
| date copyright | 2026/02/26 | |
| date issued | 2026 | |
| identifier other | JPSEA2.PSENG-1938.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4313101 | |
| description abstract | AbstractA scheme based on two historical in-line inspection data sets was developed to estimate
the evolution of pitting depth caused by internal corrosion in pipelines. This process
involved carefully aligning inspection pitting data and modeling pitting ...Practical ApplicationsPipelines serve as the backbone of energy transportation, but internal corrosion can
weaken the steel, leading to costly failures. This study presents a practical method
for predicting and managing internal corrosion by combining ... | |
| publisher | American Society of Civil Engineers | |
| title | Pipeline Corrosion Pits Growth Prediction with Probabilistic Model and Artificial Neural Network | |
| type | Journal Article | |
| journal volume | 17 | |
| journal issue | 2 | |
| journal title | Journal of Pipeline Systems Engineering and Practice | |
| identifier doi | 10.1061/JPSEA2.PSENG-1938 | |
| journal fristpage | 04026018-1 | |
| journal lastpage | 04026018-9 | |
| page | 9 | |
| tree | Journal of Pipeline Systems Engineering and Practice:;2026:;Volume ( 017 ):;issue: 002 | |
| contenttype | Fulltext | |