Dimensionless Theory–Particle Swarm Optimization Prediction Framework for Diffusion Concentration Distribution of Buried Gas Pipeline Leakage

dc.contributor.author	Sun, Bin
dc.contributor.author	Li, Jin
dc.contributor.author	Deng, Xiangyun
dc.contributor.author	Shen, Jie
dc.date.accessioned	2026-08-20T12:05:15Z
dc.date.available	2026-08-20T12:05:15Z
dc.date.copyright	2025/07/22
dc.date.issued	2025
dc.identifier.other	JPSEA2.PSENG-1885.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4313080
dc.description.abstract	AbstractPrevious research has underscored the importance of predicting concentration distributions from leaks in buried gas pipelines. This study addresses the limitations of existing prediction methods in handling complex, multifactorial leakage ...
dc.publisher	American Society of Civil Engineers
dc.title	Dimensionless Theory–Particle Swarm Optimization Prediction Framework for Diffusion Concentration Distribution of Buried Gas Pipeline Leakage
dc.type	Journal Article
dc.journal.volume	16
dc.journal.issue	4
dc.journal.title	Journal of Pipeline Systems Engineering and Practice
dc.identifier.doi	10.1061/JPSEA2.PSENG-1885
dc.journal.fristpage	04025071-1
dc.journal.lastpage	04025071-15
dc.page	15
dc.tree	Journal of Pipeline Systems Engineering and Practice:;2025:;Volume ( 016 ):;issue: 004
dc.contenttype	Fulltext