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Title |
A Proposal of Durability Prediction Models and Development of Effective Tunnel Maintenance Method Through Field Application
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Keywords |
효율적인 터널 유지관리 기법 ; 압축강도 ; 탄산화 ; 예측 식 ; 내구성 예측 맵 ; Effective tunnel maintenance method ; Strength ; Carbonation ; Prediction model ; Durability prediction map |
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Abstract |
This study proposed more reasonable prediction models on compressive strength and carbonation of concrete structure and developed a more effective tunnel safety diagnosis and maintenance method through field application of the proposed prediction models. For this study, the Seoul Metro’s Line 1 through Line 4 were selected as target structures because they were built more than 30 years ago and have accumulated numerous diagnosis and maintenance data for about 15 years. As a result of the analysis of compressive strength and carbonation, we were able to draw prediction models with accuracy of more than 80% and confirmed the prediction model’s reliability by comparing it with the existing models. We’ve also confirmed field suitability of the prediction models by applying field, the average error of an estimate on compressive strength and carbonation depth was about 20%, which showed an accuracy of more than 80%. We developed a more effective maintenance method using durability prediction Map before field inspection. With the durability prediction Map, diagnostic engineers and structure managers can easily detect the vulnerable points, which might have failed to reach the standard of designed strength or have a high probability of corrosion due to carbonation, therefore, it is expected to make it possible for them to diagnose and maintain tunnels more effectively and efficiently.
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