Bayesian Modeling of External Corrosion in Underground Pipelines Based on the Integration of Markov Chain Monte Carlo Techniques and Clustered Inspection Data-Reference-Cited by-同舟云学术

Bayesian Modeling of External Corrosion in Underground Pipelines Based on the Integration of Markov Chain Monte Carlo Techniques and Clustered Inspection Data

Published:2014-09-09 Issue:4 Volume:30 Page:300-316
ISSN:1093-9687
Container-title:Computer-Aided Civil and Infrastructure Engineering
language:en
Short-container-title:Computer-Aided Civil and Infrastructure Engineering

Author:

Wang Hui¹,Yajima Ayako¹,Liang Robert Y.¹,Castaneda Homero²

Affiliation:

1. Department of Civil Engineering; The University of Akron; Akron OH USA

2. Department of Chemical and Biomolecular Engineering; National Center for Research in Corrosion and Materials Performance; The University of Akron; Akron OH USA

Funder

SENER-CONACYT

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering

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