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Progressive collapse implies a phenomenon of sequential failure of part of the structure orthe complete structure initiated by sudden loss of vertical load carrying member (mostly column).. Progressive collapse is defined as a situation where local failure of a primary structural component leads to the collapse of adjoining members, which in turn leads to additional collapse. For the case of progressive collapse, damage is included in the model through the removal of a key element of the structure. For this reason, it is very important for the engineering community to develop simple and reliable analytical tools which could provide useful information on the response of a structure to a column loss. The progressive collapse design guidelines typically recommend simplified analysis procedures involving instantaneous removal of specified critical columns in a building. The study of analytical approaches for evaluating progressive collapse is carried out by linear static analysis using
Alternate Path Method (APM) recommended in General Service Administration (GSA) guidelines & the same is presented in in this study. This study investigates the effectiveness of such commonly used progressive collapse evaluation and design methodologies through numerical simulation and experimental data. For this study, a multistoried composite building is considered. The prime objective of this study is to analyze the composite building by removing columns at different locations and finding out critical location of column
vulnerable to progressive collapse and also prevention of progressive collapse of structure using linear static analysis. Impact of number of floors, column removal location, vertical irregularity and design of frames is also investigated.


Alternate Path Method, Finite Element Model,General Service Administration (Gsa) Progressive Collapse

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How to Cite
Keshav Ajbale and Prof. Bharti changhode, “PROGRESSIVE COLLAPSE ANALYSIS OF COMPOSITE STRUCTURE BY USING SOFTWARE”, IEJRD - International Multidisciplinary Journal, vol. 5, no. 3, p. 7, Apr. 2020.