Robotic Inspection of Bridges Using Impact-Echo Technology
项目名称: Robotic Inspection of Bridges Using Impact-Echo Technology
摘要: The aging civil infrastructure across the United States has been under the spot light due to recent bridge failures such as the I-35W bridge collapse. Many concrete and steel bridges that were built in the mid 20th century in response to the boom of automobiles are reaching their life expectancy, leaving questions about their structural integrity and deterioration levels. Millions of dollars have been invested each year to inspect bridge components using various technologies such as ground penetrating radar (GPR) and seismic pavement analyzer (PSA). These equipments are normally large and carried by trucks to monitor the health of the steel reinforced concrete bridge decks. However, for some difficult to access components (e.g., bridge foundations and pillars underneath decks), it lacks effective tools for regular inspection. A common method of under bridge inspection using snooper truck by a 2-man evaluation team with handheld non-destructive evaluation (NDE) devices is proposed. Among the available NDE devices, handheld impact-echo (IE) is the most commonly used technology for evaluating concrete and masonry structures. The current practice of manual inspection has to block traffic, and is time-consuming, expensive, and exposes human workers to dangerous situations. The project proposes to develop an automatic impact-echo system on board a specially designed wall-climbing robot to automate the inspection process. Compared with manual inspection, the wall-climbing robot will be able to scan vertical surfaces of bridge foundations and horizontal surfaces at the bottom of bridge decks, reach hard-to-access places, take close-up pictures, record and send impact-echo data wirelessly to host computer, and log global positioning systems (GPS) coordinates at every test point in a software system for further analysis. A group of such wall-climbing robots can do the inspection task simultaneously, making the automated inspection faster and more thorough than manual inspection, thus saving time and money, while making the national civic infrastructure more secure.
状态: Completed
资金: 160000.00
资助组织: University Transportation Research Center
项目负责人: Eickemeyer, Penny
执行机构: City College of the City University of New York
开始时间: 20121001
实际结束时间: 20140331
主题领域: Bridges and other structures;Data and Information Technology;Highways;Maintenance and Preservation
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