All ETDs from UAB

Advisory Committee Chair

Nasim Uddin

Advisory Committee Members

Christopher Waldron

Mohammad Haider

Document Type


Date of Award


Degree Name by School

Master of Science in Civil Engineering (MSCE) School of Engineering


Bridges represent an important part of the transportation network. Many of these bridges have passed their life cycle and still in service. Monitoring of bridges is a vital component of any maintenance strategy as it can give an early warning if the bridge becomes unsafe. To ensure the National Bridge Inventory (NBI) remains safe for use, we need to control the loads that passed on the bridges. Monitoring loads on the bridges discussed in a significant number of studies, most of them represent the bridge as 1D or 2D elements using some of the finite elements programs. Comparatively, less research used the 3D elements to represent of vehicle-bridge interaction (VBI). The monitoring and controlling process are done in this thesis using the Inverse Dynamics Optimization Algorithm and 3D solid elements model simulate the vehicle bridge interaction (VBI). The Inverse Dynamics Optimization algorithm has been first introduced by Law et al. (1997) to calculate the passing truck weight using the measurement from the bridge (Bridge-Weight in Motion). In this thesis a discussion about the effect of other traffic (i.e., small cars, truck) on the truck weight calculation. This discussion helps to prevent the correct overload truck from passing on the bridge. Also, a simple method developed to separate each vehicle signals and then calculate the weight of the vehicles. Finally, the Inverse Dynamics Optimization Algorithm used in bridge damage detection. To demonstrate the damage detection method, finite element models using 3-D solid element followed by the Inverse Dynamics Optimization Algorithm analyses are performed. This algorithm used to calculate the force history before and after the damage to the bridge. The damage identification is dependent on the changes in force history resulting from the change in bridge stiffness due to the damage. In conclusion, this thesis presents a novel, fast, economical and efficient method that can be used for bridge damage detection for a large number of bridges and discuss how to monitoring and controlling the loads on the bridges to prevent the correct overload trucks from passing on the bridges.

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