Abstract
This paper proposes a framework for interpreting bridge field data with a focus on overall bridge performance, damage quantification, and data-driven decision-making. By leveraging recent advancements in bridge load testing, structural monitoring, and non-destructive evaluation, along with the development of interoperable platforms for bridge management, this paper synthesizes these insights into a cohesive framework. It also explores the long-term storage and utilization of data to inform future bridge management decisions. The proposed framework is designed to be flexible, accommodating varying timeframes (both throughout the bridge's service life and duration data collection) and different types of data. Ultimately, this conceptual framework aims to assist bridge owners in making informed decisions regarding field interventions and enhance their overall decision-making processes.
| Original language | English |
|---|---|
| Title of host publication | IABSE Symposium Tokyo 2025 |
| Subtitle of host publication | Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches - Report |
| Publisher | International Association for Bridge and Structural Engineering (IABSE) |
| Pages | 205-213 |
| Number of pages | 9 |
| ISBN (Electronic) | 9783857482069 |
| DOIs | |
| State | Published - 2025 |
| Event | IABSE Symposium Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches - Tokyo, Japan Duration: 18 May 2025 → 21 May 2025 |
Publication series
| Name | IABSE Symposium Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches - Report |
|---|
Conference
| Conference | IABSE Symposium Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches |
|---|---|
| Country/Territory | Japan |
| City | Tokyo |
| Period | 18/05/25 → 21/05/25 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- bridge performance
- damage quantification
- decision-making
- framework
- load testing
- non-destructive testing
- structural monitoring
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