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contributor authorLi, Ming-Hao
contributor authorFeng, Xin
contributor authorZheng, Jin-Tong
contributor authorYue, Qi-Feng
date accessioned2026-08-20T21:33:22Z
date available2026-08-20T21:33:22Z
date copyright2026/06/02
date issued2026
identifier otherAJRUA6.RUENG-1855.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314642
description abstractAbstractConcrete corrosion is a significant threat to the structural integrity of safety-critical sewer systems. Empirical models of corrosion prediction have been developed, but model parameters, such as the pH factor, dissolved sulfide concentration, ...
publisherAmerican Society of Civil Engineers
titleBayesian Model Updating for Predictive Maintenance of Concrete Sewers Experiencing Corrosion Using Distribution-Based Likelihood and an Improved Hamiltonian Monte Carlo Method
typeJournal Article
journal volume12
journal issue3
journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
identifier doi10.1061/AJRUA6.RUENG-1855
journal fristpage04026030-1
journal lastpage04026030-14
page14
treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2026:;Volume ( 012 ):;issue: 003
contenttypeFulltext


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