Using the Bayesian network to predict the remaining useful life of the reinforced concrete decks Under chloride corrosion

mehdizadeh lima, abbas; Mahmoudi, Mussa; Zayeri baghlani nejad, Amir

doi:10.22034/24.4.51

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mehdizadeh lima A, Mahmoudi M, Zayeri baghlani nejad A. Using the Bayesian network to predict the remaining useful life of the reinforced concrete decks Under chloride corrosion. MCEJ 2024; 24 (4) :51-67
URL: http://mcej.modares.ac.ir/article-16-72341-en.html

Using the Bayesian network to predict the remaining useful life of the reinforced concrete decks Under chloride corrosion

Abbas Mehdizadeh lima¹

, Mussa Mahmoudi ^*

², Amir Zayeri baghlani nejad³

1- Faculty of Civil Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran.
2- Faculty of Civil Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran. , m.mahmoudi@sru.ac.ir
3- Faculty of Civil Engineering, Jundi-Shapur University of Technology, Dezful, Iran.

Abstract: (672 Views)

Structures, including concrete bridges, may be exposed to gradual damage during operation due to environmental conditions such as corrosion, which will reduce their useful life. Knowing the amount of remaining useful life of the structures makes it possible to improve, strengthen or rebuild them at the right time. To determine the remaining useful life of a structure, there are three common methods under the titles of data-driven method, failure physics method and combined method. In this article, the combined method of determining the remaining useful life of structures has been studied. The purpose of this research is to propose a suitable method for predicting the remaining useful life of a bridge structure with a reinforced concrete deck under chloride ion corrosion using a Bayesian network. The remaining useful life of reinforced concrete parts under chloride attack includes two parts of the time related to the initial stage of corrosion and the time related to the release of chlorine ions. To determine the remaining useful life part related to the initial stage, various researches have been done and the American ACI365 committee has proposed a software called Life-365 for this purpose. There is no comprehensive research to determine the second part of the remaining life, which is related to the release stage. Based on the prepared Bayesian network and the formula obtained in this research, the remaining life of the chloride diffusion stage in concrete was estimated to be 9.116 years in the best conditions and 2.73 years in the worst conditions. Meanwhile, the number suggested by the ACI365 committee, in practical work, is usually equal to 6 years for the release stage. This issue clarifies the need for more research in this regard. In this article, using the data available in past researches and reproducing the data and using the Bayesian network, relationships are presented to determine the useful life of the bridge structure in both the initial and release stages.Based on the proposed method, using the Bayesian network, relationships can be obtained for each of the two parts of the remaining useful life of the structure under chloride corrosion, i.e., the corrosion initiation stage and the chloride release stage, in terms of factors affecting the remaining useful life in a specific project. . In these networks, the effect of various factors can be considered, which is one of the advantages of the proposed method.The remaining useful life has an inverse relationship with temperature. When the average temperature increases by 20 degrees, the remaining useful life decreases by an average of 30%.With the help of the proposed relationships, a parametric study was conducted to investigate the effect of different conditions of using pozzolanic compounds on the remaining life of the structure. In this regard, 17 states of different pozzolanic compounds with different concentrations were considered and the average remaining useful life due to different states was calculated. The average life obtained compared to the case where no pozzolan is used in concrete showed a 38% increase in life. In order to evaluate the results of the proposed relationships, the problem of determining the remaining useful life for a numerical model of a concrete bridge and several marine structures located in the Persian Gulf was investigated. The results of this research show that by using the proposed relationships, it is possible to improve the accuracy of estimating the remaining useful life of bridges with concrete decks exposed to chloride ion penetration, relying on the data obtained from the field inspections of the structure.

Keywords: Concrete bridge deck, chloride ion, residual useful life, data-driven method, Bayesian network.

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Article Type: Original Research | Subject: Civil and Structural Engineering
Received: 2023/11/9 | Accepted: 2024/02/28 | Published: 2024/10/1

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