2019 CSCE Annual Conference - Laval (Greater Montreal) Conference
Dr. Soraj Kumar Panigrahi, CSIR-Central Building Research Institute, Roorkee, India
Dr. Ajay Chourasia, CSIR-Central Building Research Institute, Roorkee, India
Dr. Lucia Tirca, Concordia University, Canada
Dr. Ashutosh Bagchi, Concordia University, Canada
In last few decades, vibration-based Structural Health Monitoring (SHM) has played a significant role to study different parameters of a structure. Frequency Domain Decomposition (FDD) and Stochastic Subspace Identification (SSI) play important roles to identify system properties, such as: modal frequencies, mode shape and damping ratio. The focus of the present research is to identify modal frequencies of a scaled down RC shear wall in laboratory conditions using wired PCB Piezotronics sensor network. For signal decomposition, FDD has been utilized to get modal frequencies of the experimental shear wall using ambient vibration data. Validation of the results obtained from the signal processing was performed through analytical modeling. From the analysis results, different modal frequencies are obtained at different phase of the experiment.