5 Structural Assessment of a School Building in Sankhu, Nepal Damaged Due. . . 41 sensing technologies (LiDAR). In this study, 32 terrestrial laser scans obtained from two scanners are used to create a three-dimensional point cloud of the building with the locations and geometry of the major cracks identified. The scan data is used to estimate the global deformations and quantify the damage in the infill panels and RC columns towards the west end of the building. Based on the analyses of the scans, the west wall appears to have rotated out of vertical, while the RC columns sustained significant spalling of concrete cover and exposed reinforcement. The structure was also instrumented with four unidirectional accelerometers on each floor, two at opposite corners, to capture the translational and torsional modes. The system identification of the school building is conducted in this study by analyzing different subsets of the ambient vibration data. The modal parameters of the structure are identified using the NExT-ERA identification method. It is observed that the natural frequencies are consistently identified in all data sets. A simplified finite element model of the structure is developed adopting the strut method. In order to simulate the condition of the damaged structure after the earthquake, the infill panels and the RC columns that were severely damaged are removed from the numerical model. The natural frequencies of the first three modes estimated from the system identification are in good agreement with those from the finite element model indicating the ability of the model to capture the basic dynamic properties of the structure. Acknowledgements The researchers from the University at Buffalo and Oregon State University were supported by NSF Awards #1545595 and #1545632, respectively. 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