Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/101021
Title: Analytical model for the capacity of compressive arch action of reinforced concrete sub-assemblages
Authors: Yu, Jun
Tan, Kang Hai
Keywords: DRNTU::Engineering::Materials::Ceramic materials
Issue Date: 2014
Source: Yu, J., & Tan, K. H. (2014). Analytical model for the capacity of compressive arch action of reinforced concrete sub-assemblages. Magazine of concrete research, 66(3), 109-126.
Series/Report no.: Magazine of concrete research
Abstract: Compressive arch action (CAA) is a favourable structural mechanism to mitigate progressive collapse of reinforced concrete (RC) frames. To quickly and accurately predict the CAA capacity of RC sub-assemblages under a column-missing scenario, an engineering analytical model is proposed. The model considers all the design parameters in beams and the imperfect boundary conditions of sub-assemblages, including partial axial and rotational restraints, and connection gaps at beam ends if any. The proposed model is then validated with experimental results and extended to calculate progressive collapse resistance due to CAA with dynamic increase factors. Finally, the model is employed in parametric studies. It is found that CAA capacity increases with restraint stiffness only in the regime of weak restraints; in the regime of strong restraints, CAA capacity is not sensitive to variation in restraint stiffness. Furthermore, CAA enhances structural resistance more evidently for sub-assemblages with small span-to-depth ratios and low mechanical reinforcement ratios, and RC slabs help to increase the CAA capacities of RC frames.
URI: https://hdl.handle.net/10356/101021
http://hdl.handle.net/10220/24136
DOI: 10.1680/macr.13.00217
Rights: © 2014 Thomas Telford (owned by Institution of Civil Engineers). This paper was published in Magazine of Concrete Research and is made available as an electronic reprint (preprint) with permission of Thomas Telford. The paper can be found at the following official DOI: [http://dx.doi.org/10.1680/macr.13.00217]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:CEE Journal Articles

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