Abstract:
Climate change poses increasing challenges to infrastructure, particularly bridges, requiring
advanced adaptation and monitoring strategies. However, the lack of long-term monitoring data
challenges the effective quantification of the impact of climate change on bridges. Therefore, this
study presents a methodological framework for reconstructing temperature and strain
measurements in a prestressed box girder bridge located in Portugal. The analysis integrates limited
historical data from a structural health monitoring system and nearby weather stations, employing
temperature downscaling models and advanced statistical techniques, including autoregressive
model and long- and short-term time-series networks. The results demonstrate the effectiveness of
these models and techniques in capturing temperature variations and assessing the influence of
climatic conditions on structural deformations. This study is the beginning of broader analysis on
the impact of climate change on concrete bridges
