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Nonlinear multilevel analysis of reinforced concrete frames

Authors :
Pui Lam Ng
Jeffery Yuet Kee Lam
Albert Kwok Hung Kwan
Source :
Engineering Structures and Technologies, Vol 7, Iss 4 (2016)
Publication Year :
2016
Publisher :
Vilnius Gediminas Technical University, 2016.

Abstract

Full range analysis of reinforced concrete (RC) members covering the post-crack and post-peak regimes is important for obtaining the deformation response and failure mode of structural members. When a RC member is subject to an increasing external load, the critical sections would exhibit cracking and/or softening. Due to stress relief effect in the proximity of crack opening and plastic hinging, unloading may occur at the adjacent regions. The variable stress states of discrete sections would lead to sectional variation of stiffness, which could not be accounted for by conventional structural analysis methods. In this paper, a nonlinear multilevel analysis method for RC frames whereby the frame members are divided into sub-elements and sectional analysis is utilised to evaluate stiffness degradation and strength deterioration is developed. At sectional level, the secant stiffness is determined from moment-curvature relation, where the curvature is evaluated based on both transverse displacements and section rotations of the frame member. Unloading and reloading behaviour of concrete and reinforcing steel is simulated. In implementing the multilevel analysis, secant iteration is performed in each step of displacement increment to obtain the convergent solution satisfying equilibrium. Numerical example of RC frame is presented to demonstrate the applicability and accuracy of the proposed nonlinear multilevel analysis method.

Details

Language :
English
ISSN :
2029882X and 20298838
Volume :
7
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Engineering Structures and Technologies
Publication Type :
Academic Journal
Accession number :
edsdoj.7b8a9c6715d43ea8eaa58790f736173
Document Type :
article
Full Text :
https://doi.org/10.3846/2029882X.2016.1150793