PROGRESSIVE COLLAPSE TESTING AND ANALYSIS OF A PARKING GARAGE

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2022-05

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The Ohio State University

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Progressive Collapse is the total or partial failure of a structure due to the spread of local failure from element to element throughout the structure. This research aims to determine whether the removal of a column from a multi-story building will cause total or partial collapse. A parking garage at Ohio State University will be used for this purpose as a case study. A 3D model of the building to be tested was made using SAP2000(CSI). Before the demolition of the building, two columns will be removed from the second story of the building, and various data was collected using strain gauges, drones, and cameras. Data collected was compared to the theoretical model and suggestions to the model will be presented. The research presented is based on the experiment done during the demolition of the North Cannon Garage parking lot on the campus of the Ohio State University (OSU). Accelerometers were installed to measure the acceleration of the building during the demolition process. Drone videos were used to assess the accuracy of the measured data, and Fast Fourier Transform (FFT) algorithm was used to calculate the fundamental frequency of the building. SAP2000 was used to model the North Cannon Garage structure which was used to determine properties of the structure. The changes in the structure due to the demolition were simulated using the program and compared to the live data recorded during the demolition. The results show that North Cannon Garage has two different outcomes in properties (fundamental frequency) between the model and measured values. This error stems from the assumptions regarding the loading distribution of the building as well as lack some structural details of the building which made it difficult to model accurately. This study is to develop recommendations for improved modelling for progressive collapse.

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