Mapping of Dependent Structural Responses on a Prestressed Concrete Bridge using Machine Learning Regression Analysis and Historical Data : A Comparison of Different Non-linear Regression Approaches

• Main Author: Coric, Vedad
• Format: Bachelor Thesis
• Language: English
• Published: Umeå universitet, Institutionen för datavetenskap 2023
• Subjects: Prestressed Concrete Bridges; Structural health Monitoring; Machine Learning; Regression analysis; Infrastructure management; Infrastructure Engineering; Infrastrukturteknik; Signal Processing; Signalbehandling; Autio; Northern Sweden
• Online Access: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-214572; https://doi.org/10.13140/RG.2.2.15748.91524

Prestressed concrete bridges are susceptible to deterioration over time which might significantly affect their capacity and overall performance. In previous decades, infrastructure owners have found that continuous monitoring of these assets is a valuable tool for their management as it facilitates...