Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.16208 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866911165028761600 |
|---|---|
| author | Gao, Lu Mo, Yi-lung Dhonde, Shalaka Saldarriaga, Daisy Song, Lingguang Senouci, Ahmed |
| author_facet | Gao, Lu Mo, Yi-lung Dhonde, Shalaka Saldarriaga, Daisy Song, Lingguang Senouci, Ahmed |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_16208 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Synthesis of Service Life Prediction for Bridges in Texas Gao, Lu Mo, Yi-lung Dhonde, Shalaka Saldarriaga, Daisy Song, Lingguang Senouci, Ahmed Computational Engineering, Finance, and Science 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. |
| title | Synthesis of Service Life Prediction for Bridges in Texas |
| topic | Computational Engineering, Finance, and Science |
| url | https://arxiv.org/abs/2509.16208 |