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contributor authorXu, Duo
contributor authorYang, Kai
contributor authorZheng, Honglong
contributor authorLi, Hua
contributor authorChen, Liqiong
contributor authorSun, Qiaofei
date accessioned2026-08-20T12:05:47Z
date available2026-08-20T12:05:47Z
date copyright2025/10/15
date issued2026
identifier otherJPSEA2.PSENG-1909.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313091
description abstractAbstractThird-party excavation activities are among the primary causes of pipeline failure. A scientific evaluation is required to prevent failures of natural gas pipelines under such activities. This study develops a comprehensive quantitative evaluation ...
publisherAmerican Society of Civil Engineers
titleResearch on the Reliability Assessment Method of a Natural Gas Pipeline under Third-Party Excavation Loads Based on Machine-Learning Models
typeJournal Article
journal volume17
journal issue1
journal titleJournal of Pipeline Systems Engineering and Practice
identifier doi10.1061/JPSEA2.PSENG-1909
journal fristpage04025102-1
journal lastpage04025102-11
page11
treeJournal of Pipeline Systems Engineering and Practice:;2026:;Volume ( 017 ):;issue: 001
contenttypeFulltext


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