Bridge testing field data for damage quantification and decision-making
Eva Lantsoght (TU Delft - Civil Engineering & Geosciences, Universidad San Francisco de Quito)
Estefania Cervantes (Universidad San Francisco de Quito, University of Minho)
Monica Santamaria (University of Minho)
Jose C. Matos (University of Minho)
Mitsuyoshi Akiyama (Waseda University)
Xin Ruan (Tongji University)
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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.