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Metals 2017, 7(6), 205; doi:10.3390/met7060205

Bayesian Correlation Prediction Model between Hydrogen-Induced Cracking in Structural Members

1
Department of Civil Engineering, Daejin University, Hogookro 1007, Pocheon 11159, Korea
2
Postgraduate Engineering Department, Autonomous University of the State of Mexico, Toluca 50130, Mexico
3
Department of Robotics Engineering, Daejin University, Hogookro 1007, Pocheon 11159, Korea
4
Department of International Civil and Plant Engineering, Konyang University, Nonsan 35365, Korea
5
Department of Architectural Engineering, Hanbat National University, Daejeon 34158, Korea
Current address: Sinwondang 103–708, Sungsa, Goyang, Geyeongi 10455, Korea.
*
Author to whom correspondence should be addressed.
Academic Editors: Ricardo Branco and Filippo Berto
Received: 19 March 2017 / Revised: 30 May 2017 / Accepted: 31 May 2017 / Published: 5 June 2017
(This article belongs to the Special Issue Mechanical Behavior of High-Strength Low-Alloy Steels)
View Full-Text   |   Download PDF [2752 KB, uploaded 5 June 2017]   |  

Abstract

Background: A quantitative model was developed and applied for analyzing the correlation between hydrogen-induced corrosion cracking in both main cable wires and degraded stiffening of the girders of a cable suspension bridge, considering maintenance effects across time and space. Method: Bayesian inference is applied for predicting the correlations among the wires in the main cables owed to hydrogen-induced cracking (HIC) in the cable wires of a steel bridge, by using the improved hierarchical Bayesian models proposed here. Results: The simulated risk prediction under decreased strength of cable wires, due to the corrosion cracking, yields posterior distributions based on prior distributions and likelihoods. The Bayesian inference model can be applied to the design and maintenance of highly corroded and correlated components Data are updated through analyzed information from previous crack steps. A numerical example including not only reliability indices but also probabilities of failure for cable wires, damaged by HIC, is then presented. Compared with a conventional linear prediction model, the one herein developed provides highly improved convergence and closeness to the analyzed data. Conclusion: The proposed model can be used as a diagnostic or prognostic prediction tool for the performance of corroded bridge cable wires with crack propagation, allowing the development of maintenance plans for mechanical components and the overall structural system. View Full-Text
Keywords: corrosion; cable wires; hydrogen-induced cracking; hierarchical Bayesian inference; correlation model; maintenance interventions corrosion; cable wires; hydrogen-induced cracking; hierarchical Bayesian inference; correlation model; maintenance interventions
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MDPI and ACS Style

Cho, T.; Delgado-Hernandez, D.J.; Lee, K.-H.; Son, B.-J.; Kim, T.-S. Bayesian Correlation Prediction Model between Hydrogen-Induced Cracking in Structural Members. Metals 2017, 7, 205.

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