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Time-dependent reliability method for service life prediction of reinforced concrete shield metro tunnels

journal contribution
posted on 2024-11-02, 07:22 authored by Wei Yang, Hassan Baji, Chun Qing LiChun Qing Li
Ageing and deterioration of underground tunnels is inevitable after their long-time in service. This necessitates a rigorous assessment of the probability of failure due to deterioration with a view to predicting remaining safe life. In the light of considerable research undertaken on prediction of service life of the aboveground structures, e.g. bridges, few such studies dealing with the underground structures, e.g. tunnels, have been carried out. The intention of this paper is to present a time-dependent reliability method to assess the tunnel probability failure due to different mechanisms of deterioration. Stochastic models are developed for four common failure modes of tunnel structures as identified by strength and serviceability criteria. Application of the proposed methodology is demonstrated in a case study. It is found in the paper that the reinforcement corrosion is a key factor that affects the probability of deterioration failure and that all deterioration scenarios need to be considered in the assessment of tunnel failures and prediction of their remaining safe life. The proposed method can help the asset managers and practitioners in developing rehabilitation or replacement strategy for existing tunnels with a view for better management of the valuable tunnel asset.

Funding

Accurate Prediction of Safe Life of Buried Pipelines

Australian Research Council

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Prediction of mixed mode fracture failures of metal pipelines

Australian Research Council

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preventing reoccurrence of catastrophic failures of stormwater pipelines

Australian Research Council

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History

Journal

Structure and Infrastructure Engineering

Volume

14

Issue

8

Start page

1095

End page

1107

Total pages

13

Publisher

Taylor & Francis

Place published

United Kingdom

Language

English

Copyright

© 2017 Informa UK Limited, trading as Taylor & Francis Group.

Former Identifier

2006085352

Esploro creation date

2020-06-22

Fedora creation date

2018-09-20

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