Semi-analytical model for compressive arch action capacity of RC frame structures

By Iftikhar Azim, Jian Yang, Muhammad Farjad Iqbal, Muhammad Faisal Javed, Sohaib Nazar, Feiliang Wang, Qing-feng Liu. 2020

69 citations recorded by the source corpus.

Abstract Compressive arch action (CAA) is one of the favorable resistance mechanisms at low deflections against progressive collapse of reinforced concrete (RC) frame buildings. In this study, Park & Gamble model for calculating the CAA capacity of RC frame structures is modified by incorporating a compressive stress block for high strength concrete (HSC). Meanwhile, a comprehensive database of RC specimens is collated and the modified model is applied on the database to determine the peak deflection (δ) values at CAA by using an iterative approach. The δ values obtained are then modelled by using distinctive features of gene expression programming (GEP) to develop a relationship for δ as a function of height (h) and net span length of the two beams after the column removal (L). The proposed model is validated against a wide range of published results and compared with other models available in literature. The comparison shows that the proposed modified Park & Gamble model can accurately predict the CAA capacity of the specimens. Moreover, the developed model is easy-to-use and skips the oversimplified assumption proposed in the Park & Gamble model to calculate δ (i.e. δ = 0.5*depth of the specimen).

Subfields: Building and Construction, Civil and Structural Engineering

View Paper: https://www.semanticscholar.org/paper/519faa037d5ba9700f386e2a22be3fdc0ae66b51