Integrating cost and CO2 emission in progressive collapse analysis of structures

Predicting reinforced concrete (RC) framed structure resistance to progressive collapse as a result of column removal scenario has recently become a necessity in the design of structures. Such member removal leads to large deformations impairing the functional performance of the frame. This study will investigate the effects of varying design options of the floor system configuration on the progressive collapse-resistance of RC frames and the amount of energy dissipated by the beams due to a column removal. Since varying design options involve different sized beams, slab thicknesses, and steel reinforcements resulting in different consumptions of raw materials it is essential that the economic and environmental implications must be held to a minimum, while the structural safety is also necessary and cannot be ignored. The objective of this research is to develop a fiber element-based numerical model capable of accurately simulating structural response to large deformations as a result of column removal. A comprehensive database of test results related to the progressive collapse of RC frame structures will be collated and utilized to extensively validate, tune, and verify of the model numerical results. Another objective of this study is to utilize the calibrated numerical model to present findings into the effects of different floor system design options on the progressive collapse-resistance of RC frames and on the economic and environmental considerations. Six-story 3-D RC frame with four bays in both directions will be considered in this research. The considered bay spans vary from 5m to 7m. A total of forty-five floor system designs for gravity loads will be performed in accordance with the ACI 318-19 design code. The floor system configuration that will dissipate the maximum energy with the least deformations during progressive collapse while requiring less cost and emitting less carbon dioxide CO2 will be highlighted.

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Contributors:

• Bilal El-Ariss, United Arab Emirates University
• Sail Elkholy, Fayoum University, Cairo, Egypt