The safety of bridges is one of the primary concerns of researchers, engineers, and bridge owners and managers, especially when bridges are approaching the end of their intended service lives. The estimation of bridge condition and remaining service life is critical to prioritize the allocation of available funding for repairs and rehabilitation. Various methods, including both dynamic and static approaches, have been developed to detect and localize bridge damage and estimate its severity. This research presents a methodology for detecting a single damaged member in a truss bridge and estimating the severity of the damage using static vertical deflection influence lines (SDILs). The methodology is capable of making assessments using fewer sensors and measurement locations than other state of the art methodologies, thereby minimizing costs and service interruptions to bridge owners. This work comprises the development of the methodology and a parametric study to determine the sensitivity of the methodology to uncertainties faced in practice. The results show that the proposed methodology is able to identify the damaged member and estimate damage severity; performance results are given for various combination of measurement noise levels, number of simulations, and damage severities.
Civil and Environmental Engineering
Dr. Brett Story
Mechanical Engineering, Civil Engineering
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License
Alshallaqi, Hamoud, "Truss Bridge Damage Localization and Severity Estimation Using Influence Lines" (2021). Civil and Environmental Engineering Theses and Dissertations. 18.
Civil Engineering Commons, Construction Engineering and Management Commons, Other Civil and Environmental Engineering Commons, Structural Engineering Commons, Transportation Engineering Commons