Investigation of Bridge Serviceability and Strength Using Integrated Static and Dynamic Approaches

Abstract

The load-bearing capacity of bridges is critical to their structural integrity and longevity. In this work this capability is assessed using an integrated method combining computational calculations and experimental testing, with focus on static and dynamic loading situations. The numerical part relies on finite element modelling (FEM) to simulate the behaviour of bridges under different load situations, investigating characteristics such as stress distribution, deflection patterns, and modal frequencies. Experimental validation is performed using static load application and dynamic excitation methods, such as impact hammer testing and ambient vibration monitoring. The combination of these alternative methodologies offers a thorough view of structural response, pinpointing important failure causes and serviceability constraints. Static response characteristics, e.g. deformation and strain behaviour, are determined under a controlled loading regime to define the immediate structural responses. Dynamic metrics like frequency response and energy dissipation ratios are analysed to evaluate sustained performance and to identify underlying defects. The reliability of the evaluation is enhanced when the computational predictions agree with the experimental observations. Any differences are corrected via model calibration, therefore enhancing the accuracy of the future predictions. The study evidences the need for the use of both analytical and physical testing techniques for a comprehensive evaluation of the capacity, so as to improve the safety of infrastructure management and the operational efficiency. The results show that dynamic assessment complements static evaluation by revealing small structural alterations that static testing alone may ignore. The suggested framework provides a realistic way for engineers to improve the prediction of load-bearing capacity and enable informed maintenance and retrofitting choices. This study promotes bridge evaluation procedures and contributes to sustainable infrastructure development via hazard avoidance and the effective allocation of resources. This is especially true for the aging bridge fleet, where accurate assessment of capacity is critical to prolonging the remaining service life.