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A research project currently being carried out at the ATLSS center of Lehigh Univ., is to investigate the issue involved in QNDE of large structures with an emphasis on highway bridges. The authors' approach is to develop a remotely accessible, economically affordable, and highly reliable continuous monitoring system using advanced signal processing techniques and very large scale integration (VLSI) technology. The result of this project will dramatically lower the cost and enhance the capability of monitoring highway bridges. A particular fatigue damage monitoring system is being developed because fatigue damage assessment has been an important issue in bridge inspection and evaluation. The algorithm used for estimating fatigue damages requires rainflow counting, stress histogram generation, and equivalent stress range calculation. The entire system consists of sensors and processing modules distributed on a bridge and powered by small batteries, a radio repeater near the bridge powered by a larger battery, and a computer at central facility. The sensors and processor modules will be capable of collecting and processing data on site in real time.
A research project currently being carried out at the ATLSS center of Lehigh Univ., is to investigate the issue involved in QNDE of large structures with an emphasis on highway bridges. The authors' approach is to develop a remotely accessible, economically affordable, and highly reliable continuous monitoring system using advanced signal processing techniques and very large scale integration (VLSI) technology. The result of this project will dramatically lower the cost and enhance the capability of monitoring highway bridges. A particular fatigue damage monitoring system is being developed because fatigue damage assessment has been an important issue in bridge inspection and evaluation. The algorithm used for estimating fatigue damages requires rainflow counting, stress histogram generation, and equivalent stress range calculation. The entire system consists of sensors and processing modules distributed on a bridge and powered by small batteries, a radio repeater near the bridge powered by a larger battery, and a computer at central facility. The sensors and processor modules will be capable of collecting and processing data on site in real time.
VLSI signal processing for QNDE of highway bridge
Signalverarbeitung mit Integration in sehr großem Maßstab für die quantitative zerstörungsfreie Untersuchung von Autobahnbrücken
1993
6 Seiten, 4 Bilder, 5 Quellen
Conference paper
English
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