Progressive Collapse Assessment Of Framed RC Building According To GSA Guidelines

Today development in the RC structure has reached a new height. Due to advancements in technology, designers can design to stand strong against natural lateral forces like wind and earthquakes. Some of the extreme human-made events or natural events damage part of the structure or can lead to the destruction of the structure. These human-made events can include bomb explosions, gas-pipe explosions, etc. The failure of a primary vertical supporting structural member-like column will force adjoining structural members to resist the load previously taken by the column. This transmission and resisting process will continue till equilibrium is attended in the structure. If equilibrium is not attended then it will end up with the collapse of the structure or major part of it. This is called 'Progressive Collapse'. Rising incidents of blast events as an act of terrorism, to harm the national important structures or to harm a large number of people have increased throughout the world. The purpose of this project was to assess the progressive collapse of RC-framed structures, according to the General Service Administration (GSA 2003) guidelines. GSA provides the procedure to perform different analyses to determine the capability of a structure against progressive collapse. In the current study, Linear Static Analysis (LSA) and Non-Linear Static Analysis (NLSA) were performed to calculate the Demand-Capacity Ratio (DCR) at critical beam sections and Plastic Hinge Formation respectively. Both analyses were performed on the model of existing structure viz. GST Bhavan located in Pune city. Model was created in SAP2000 software. The demand-capacity ratio are compared with plastic hinge formation. Comparison of linear static analysis and non-linear analysis reveals that the hinge formation starts at the location having the maximum demand capacity ratio calculated from static analysis. Also, from current scenario the middle column on the longer side has been identified as the critical column.