Synthesis of Service Life Prediction for Bridges in Texas

Design-build bridge contracts often include long-term service life requirements, but there are no clear technical guidelines or standardized methods to achieve or verify these goals. While durability practices are commonly applied, they lack quantitative validation. With many aging bridges and limited financial resources, accurately estimating remaining service life is essential for prioritizing repair and rehabilitation needs. This research reviews current practices and recent advancements in bridge service life prediction, providing practical guidance for evaluating and extending the lifespan of both existing and new structures. The findings support more efficient use of maintenance funds, better understanding of deterioration models and inspection methods, and informed strategies to ensure long-term structural performance.

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Publication Details

Journal
ArXiv.org
Published
2025-08-04
DOI
https://doi.org/10.48550/arxiv.2509.16208
Primary Topic
Infrastructure Maintenance and Monitoring
Type
article
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Synthesis of Service Life Prediction for Bridges in Texas

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ArXiv.org
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Synthesis of Service Life Prediction for Bridges in Texas

Y. L. Mo, Lu Gao, Daisy Saldarriaga, Ahmed Senouci, Lingguang Song, Shalaka Jayant Dhonde
article en

Abstract

Design-build bridge contracts often include long-term service life requirements, but there are no clear technical guidelines or standardized methods to achieve or verify these goals. While durability practices are commonly applied, they lack quantitative validation. With many aging bridges and limited financial resources, accurately estimating remaining service life is essential for prioritizing repair and rehabilitation needs. This research reviews current practices and recent advancements in bridge service life prediction, providing practical guidance for evaluating and extending the lifespan of both existing and new structures. The findings support more efficient use of maintenance funds, better understanding of deterioration models and inspection methods, and informed strategies to ensure long-term structural performance.

ArXiv.org
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Infrastructure Maintenance and Monitoring
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Synthesis of Service Life Prediction for Bridges in Texas — Y. L. Mo, Lu Gao, et al. · ArXiv.org (2025) | TGRS Research Map | TGRS