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RISVibration-Based Damage Detection of Bridges under Varying Temperature Effects Using Time-Series Analysis and Artificial Neural Networks
Publisher: American Society of Civil Engineers
Abstract: Structural health monitoring (SHM) has become a very important research area for evaluating the performances of bridges. An important issue with continuous SHM and damage detection of bridges is the effects of temperature ...
Eliminating Temperature Effects in Damage Detection for Civil Infrastructure Using Time Series Analysis and Autoassociative Neural Networks
Publisher: American Society of Civil Engineers
Abstract: Temperature effects may mask the variation in structural properties or responses due to damage by causing equally or even larger changes in structures, resulting in false positive or false negative detections. These ...