Probabilistic Analysis of Vulnerability of Reinforced Concrete Buildings Against Progressive Collapse

Abstract: 

Probabilistic Analysis of Vulnerability of Reinforced Concrete Buildings Against Progressive Collapse

This research aims to develop a two-scale numerical model for assessing the risk of progressive collapse of reinforced concrete (RC) buildings. In this model, various structural components such as beams, columns, joint panels, walls, and slabs are represented by a set of elastic blocks connected with cohesive elements, which represent the potential damage zones. The constitutive behavior of the cohesive elements is formulated in an effective traction-separation space, where the general mixed-mode failure can be well represented. The model parameters for the cohesive elements with the corresponding probability distributions are determined from the fine-scale stochastic finite element simulations of the potential damage zones with random material properties. With incremental Latin Hypercube sampling of both random cohesive properties and external loads, the model is used to investigate the probabilistic collapse behaviors of a two-dimensional RC structural frame and a three-dimensional RC wall-frame structure subjected to different column removal scenarios. Based on the simulation results, the occurrence probabilities of various possible collapse extents are obtained. Finally, the present probabilistic analysis is compared with the existing mean-centered deterministic analysis. This group uses MSI's high-performance computing facilities to perform stochastic simulations.

Group name: 
lejl