Analytical and Numerical Studies on FRP Strengthened Reinforced Concrete Columns Under Torsional Loading

Gowlla, Jyothsna (2016) Analytical and Numerical Studies on FRP Strengthened Reinforced Concrete Columns Under Torsional Loading. Masters thesis, Indian Institute of Technology Hyderabad.

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Abstract

Bridges give the impression of being rather simple structural systems. Despite their structural simplicity, bridges in particular have not performed as expected under seismic attack. Under earthquake loading, bridge super structures will in general experience both rotational and translational motions. As a consequence, the supporting columns may be subjected to significant torsion, which is often ignored in typical design practice. Torsion results in brittle mode of failure which is undesirable and therefore, it is necessary to design it properly for avoiding brittle failures. Over the years, engineers have developed different methods and techniques in order to retrofit or strengthen the structures. The research carried till now on strengthening techniques of columns focuses mainly on those which are subjected to uniaxial eccentric loading under bending, shear and axial loads. However, till now, no previous study has focused on strengthening of reinforced concrete (RC) columns under torsional loading. The present study focuses on filling this knowledge gap. Nonlinear FE models are developed using commercial package ABAQUS and analysis were carried on to understand the behaviour of RC columns under torsional loading with and without FRP strengthening. Similarly, analysis is carried on in MATLAB by using Softened Membrane Model for Torsion with FRP (SMMT-FRP). The FE and analytical results gave a good agreement when validated with test data. After validation, behaviour of FRP strengthened RC Columns with under torsional loading is analysed. Analysis included various parametric studies like varying thickness of FRP laminate, number of layers, 5 | P a g e I I T H alignment of FRP and increasing the level of applied axial load. Finally, interaction diagram between axial compression and torsional moment is also predicted.

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