Fuzzy-neuro System for Bridge Health Monitoring
Many civil and mechanical systems are in continuous use despite aging and associated risk for damage accumulation. Hence, the ability to monitor the structural health of these systems on a real-time basis is becoming very important. This paper describes a practical real-time structural health monitoring system using smart engineering tools and its application to the structural health monitoring of a steel bridge located in Missouri. Vibration data collected from this bridge was processed and fed to the fuzzy logic decision system. The fuzzy logic decision system makes use of fuzzy clustering to determine the possible presence of damage in the bridge. A neural network prediction system which makes use of back propagation algorithm predicts the amount of actual damage in the members which were predicted damaged by the fuzzy logic.
L. Meyyappan and C. H. Dagli, "Fuzzy-neuro System for Bridge Health Monitoring," Intelligent Engineering Systems Through Artificial Neural Networks, American Society of Mechanical Engineers (ASME), Jan 2003.
Engineering Management and Systems Engineering
Keywords and Phrases
Bridge Health Monitoring; Bridges; Fuzzy Control; Fuzzy Sets; Fuzzy-Neuro Systems; Real Time Systems
Article - Conference proceedings
© 2003 American Society of Mechanical Engineers (ASME), All rights reserved.