Unmanned Aircraft System Bridge Inspection Demonstration Project Phase Ii
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| Author | : Jennifer Wells |
| Publisher | : |
| Total Pages | : 174 |
| Release | : 2017 |
| Genre | : Bridges |
| ISBN | : |
An Unmanned Aircraft System (UAS) is defined by the Federal Aviation Administration (FAA) as an aircraft operated without the possibility of direct human intervention from within the aircraft. Unmanned aircraft are familiarly referred to as drones, and the names can be used interchangeably. The UAS is controlled either autonomously or with the use of a remote control by a pilot from the ground. These UASs offer a wide range of imaging technologies which include photographic stills, video, and infrared sensors that can be viewed live and later processed to assist with inspections. Bridge inspections often pose logistical challenges to efficiently and effectively inspect a wide variety of structure types; therefore, inspection by UAS is a solution that can be safe and cost-effective. The Minnesota Department of Transportation (MnDOT) and Collins Engineers have been researching the use of UASs as a tool for bridge inspections in a multi-phase project. This phase of the study research identified potential applications of UAS technology to aid in bridge inspections and is a continuation of a previous study by the MnDOT.
| Author | : |
| Publisher | : |
| Total Pages | : 214 |
| Release | : 2015 |
| Genre | : Bridges |
| ISBN | : |
The increasing costs of bridge inspections are a concern for the Minnesota Department of Transportation (MnDOT). The use of Unmanned Aerial Vehicles (UAV) may help alleviate these costs and improve the quality of bridge inspections. The overall goal of the UAV Bridge Inspection Demonstration Project was to study the effectiveness of utilizing UAV technology as it could apply to bridge safety inspections. The project team investigated the technology on four bridges located throughout Minnesota. The project team evaluated the UAVs effectiveness as it could apply to bridge inspections based on UAV field results. Various UAV capabilities were utilized to evaluate current technologies as they relate to use in bridge inspections. This study details the advantages and challenges of potentially using UAVs to aid in bridge inspection, an analysis of current and future UAV technologies as they relate to bridge inspection, and an analysis describing how current and future technologies adhere to the National Bridge Inspection Standards.
| Author | : Jennifer Wells |
| Publisher | : |
| Total Pages | : 345 |
| Release | : 2018 |
| Genre | : Bridges |
| ISBN | : |
Bridges are a key part of our transportation system and maintaining this infrastructure is important to ensure the safety of the traveling public and to effectively manage these valuable assets. Safety inspections not only ensure the structural integrity of a bridge but provide valuable data to decision makers. The Minnesota Department of Transportation and Collins Engineers, Inc. has completed this third phase of research focused on utilizing drones as a tool for improving the quality of bridge inspections. The previous phases focused on the rules and regulations, drone hardware and the ability of drones to collect quality inspection data. This phase of research has identified new drone technology and methods to address limitations identified in Phase II. More importantly, this research phase has focused on the value of data collected during the inspection and finding ways to process the data into actionable inspection deliverables that greatly improve the quality of the inspections. These inspection deliverables better communicate the inspection results to bridge owners and engineers. Our world is being transformed by technology including drones that can collect, process, store, and analyze large amounts of data and this research is applying the same transformative concepts and technology to improve bridge inspection outcomes.
| Author | : Daniel T. Gillins |
| Publisher | : |
| Total Pages | : 41 |
| Release | : 2016 |
| Genre | : Bridges |
| ISBN | : |
This report presents the results of a study on the use of unmanned aircraft systems (UAS) in bridge inspections. A detailed literature review was conducted to assess and document the current state of knowledge on the use of UAS in structural inspections and related engineering applications. A particular focus was on related work done by various state DOTs. Given the technical specifications and findings documented in the literature review, an item-by -item review of bridge inspection manuals was then performed to assess which elements of a bridge inspection could potentially benefit from use of UAS. Additionally, various categories of UAS and payloads were evaluated for bridge inspection. A small multicopter UAS was acquired and used to collect ultra-high-definition video and still imagery of a large bridge in Independence, Oregon. The imagery was reviewed by project team members and ODOT bridge inspectors. The results of the Independence Bridge inspection are presented, along with recommendations for further work. The study identified several challenges on the use of UAS for bridge inspection, including the need to capture very high resolution imagery, and problems due to strong wind and poor lighting conditions.
| Author | : Zhaozheng Yin |
| Publisher | : |
| Total Pages | : 18 |
| Release | : 2015 |
| Genre | : Bridges |
| ISBN | : |
| Author | : Jennifer Wells |
| Publisher | : |
| Total Pages | : |
| Release | : 2021 |
| Genre | : Artificial intelligence |
| ISBN | : |
Drones for bridge inspection research has been completed by MnDOT in multiple phases since 2015. As of summer, 2017, Phase III of this research began using the SenseFly Albris and the Flyability Elios, a collision-tolerant drone more suited to confined spaces such as box girders, culverts, or areas that are difficult to access. Due to the success of this research, MnDOT Metro District purchased the Elios drone to supplement bridge inspection access where space is confined and optimal lane closures are prohibited, which has been an on-going issue in the District due to traffic volumes. This project implements drone inspection for the metro bridge inventory and other similar representative structures by creating an inspection plan that identifies bridges best suited for drone use, what parameters govern drone use in bridge inspection, and how unmanned aircraft systems (UAS) can be integrated into standard inspection operations. The project explores relevant technology, including reality modeling software, drone hardware, artificial intelligence, and autonomous flights. This project also delivers the UAS Safety and Operation Manual specific to the Metro District.
| Author | : S. S. Kou |
| Publisher | : |
| Total Pages | : |
| Release | : 1990 |
| Genre | : Bridges |
| ISBN | : |
| Author | : |
| Publisher | : |
| Total Pages | : |
| Release | : 1990 |
| Genre | : Bridges |
| ISBN | : |
| Author | : Sattar Dorafshan |
| Publisher | : |
| Total Pages | : 178 |
| Release | : 2017 |
| Genre | : Bridges |
| ISBN | : |
The applications of Unmanned Aerial Systems (UAS) for bridge inspection, with emphasis on under-bridge inspection and fatigue crack detection, were studied in this report. The potential benefits and challenges of using UAS for bridge inspection were identified through an extensive literature survey. The feasibility of using UAS for fatigue crack detection was studied by determining the minimum lighting, camera distance and environmental requirements for three UAS. The DJI Mavic UAS performed better than the others in both indoor and outdoor GPS-denied inspections. An in-service bridge in Ashton, Idaho was inspected using this UAS to find fatigue cracks. No fatigue crack, known or new, was detected in the UAS images but marker lines around the known fatigue cracks (drawn by the inspectors in previous inspections), concrete defects, and steel rust were detected. Thermography showed promising results for fatigue crack detection in a lab setting, but it was not feasible for UAS applications since it had to be performed using active thermography techniques to obtain adequate results. Additionally, image processing algorithms for autonomous detection of both concrete and fatigue cracks were successfully developed. These algorithms, especially for fatigue crack detection, require more images to perform better, but were demonstrated as feasible to aid in a real-time inspection. Inspections in semi-controlled conditions at the S-BRITE center showed that UAS assisted inspections can provide inspections similar, at-best, to human inspections.
| Author | : Alicia McConnell |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2024 |
| Genre | : Bridges |
| ISBN | : 9780309709927 |
