Paper
18 April 2011 Intelligent monitoring of seismic damage identification using wireless smart sensors: design and validation
Jinho Kim, Young-Du Jang, Won-rak Jang
Author Affiliations +
Abstract
Structural health monitoring (SHM) has been adopted as a technique to monitor the structure performance to detect damage in aging infrastructure. The ultimate goals of implementing an SHM system are to improve infrastructure maintenance, increase public safety, and minimize the economic impact of an extreme loading event by streamlining repair and retrofit measures. With the recent advances in wireless communication technology, wireless SHM systems have emerged as a promising alternative solution for rapid, accurate and low-cost structural monitoring. This article presents an enabling, developing damage algorithm to advance the detection and diagnosis of damage to structures for SHM using networks of wireless smart sensors. Networks of wireless smart sensors are being used as a vibration based structural monitoring network that allows extraction of mode shapes from output-only vibration data from an underground structure. The mode shape information can further be used in modal methods of damage detection. These sensors are being used to experimentally verify analytical models of post-earthquake evaluation based on system identification analysis. Damage measurement system could play a significant role in monitoring/recording with a higher level of completeness the actual seismic response of structures and in non-destructive seismic damage assessment techniques based on dynamic signature analysis.
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Jinho Kim, Young-Du Jang, and Won-rak Jang "Intelligent monitoring of seismic damage identification using wireless smart sensors: design and validation", Proc. SPIE 7984, Health Monitoring of Structural and Biological Systems 2011, 798433 (18 April 2011); https://doi.org/10.1117/12.880640
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KEYWORDS
Sensors

Sensor networks

Structural health monitoring

Damage detection

Data modeling

Decision support systems

Intelligent sensors

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