Dr. Kalil Erazo and his colleagues from Rice University and Tufts University have repeatedly used data from the experimental project “Shake Table Response of Full Scale Reinforced Concrete Building Slice” (Panagiotou et al. 2013, https://doi.org/10.4231/D35T3G04T) to validate a Bayesian-modeling approach that couples experimental measurements with a numerical model of the system. This approach has the potential to improve predictions of the seismic response of large structures and the evaluation of quantitative measures of structural damage (Erazo et al. 2019, Erazo and Nagarajaiah 2019). The unique experimental data comes from a full-scale, seven-story building subjected to earthquake motions of varying intensity. While it took time to gather the subset of acceleration data from this very complex dataset, the team found all the data and the metadata that they needed to complete their research in the published dataset available in the DesignSafe Data Depot.
Erazo, K., Moaveni, B., and Nagarajaiah, S. (2019) “Bayesian Seismic Strong-Motion Response and Damage Estimation with Application to a Full-Scale Seven Story Shear Wall Structure.” Engineering Structures, 186, 146-160, https://doi.org/10.1016/j.engstruct.2019.02.017.
Erazo, K. and Nagarajaiah, S. (2019) “On-Line Response and Damage Estimation of a Shear Wall Structure Tested on a Shake Table Using Bayesian Filtering.” Proc. SPIE 10970, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019, 1097032. https://doi.org/10.1117/12.2527936.
Panagiotou, M., Restrepo, J., and Conte, J. (2013). Shake Table Test of 7-story RC Bearing Wall Building [Dataset]. Network for Earthquake Engineering Simulation (NEES). https://doi.org/10.4231/D35T3G04T.