ABSTRACTTAU WU. Bridge Selection Process and Workflow Development for UAS-Enabled Bridge Inspection. (Under the direction of DR. TARA L. CAVALLINE) The application and use of Unmanned Aerial Systems (UASs) has become integrated into everyday operations of different industries, and the civil and construction industries are no exception. In all aspects of civil engineering, cost and safety are prominent concerns throughout the lifecycle of a project. Bridge inspections can often be dangerous due to the limited amount of space to work, traffic conditions, and the heights at which inspectors work. The implementation of UASs to assist inspectors performing bridge inspections would not only help reduce the need for traffic control, which costs a large amount of time and money, but also help improve safety (Neubauer et al. 2021; Gillins et al. 2018; Wells and Lovelace 2018). Although the application of UAS-enabled bridge inspection is emerging, a simple yet effective workflow for field personnel to follow when encountering different types of bridges does not exist. As part of this work, workflows were designed to help field engineers and inspectors to integrate UASs quickly and effectively into conventional practices used for inspecting bridges. The purpose of this research was to develop strategies to integrate one or more UASs into the inspection workflows of various bridge types, and to provide guidance for bridge inspectors to follow while performing UAS-enabled bridge inspections. Additionally, a process for identifying bridges where UAS-enabled bridge inspection is feasible was developed, along with recommendations for the inspection tasks that could be supported with the UAS. The primary target of end-user for this research is the North Carolina Department of Transportation (NCDOT), although the approach developed in this work could be applied to other state agency practices as well.