Detection of Structural Damage in a Shaking Table Test Based on an Auto-Regressive Model with Additive Noise
Quanmao Xiao,
Daopei Zhu,
Jiazheng Li
et al.
Abstract:Damage identification plays an important role in enhancing resilience by facilitating precise detection and assessment of structural impairments, thereby strengthening the resilience of critical infrastructure. A current challenge of vibration-based damage detection methods is the difficulty of enhancing the precision of the detection results. This problem can be approached through improving the noise reduction performance of algorithms. A novel method based partially on the errors-in-variables (EIV) model and… Show more
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