Introduction
• • Earthquakescause severe damage to
reinforced concrete (RC) structures due to
their brittle nature.
• • Shape Memory Alloys (SMA) possess unique
properties such as superelasticity and shape
memory effect.
• • SMA-reinforced concrete (SMA-RC) columns
have the potential to self-center and reduce
residual deformations.
• • Evaluating the seismic performance of SMA-
3.
Problem Statement
• •Conventional RC columns exhibit significant
cracking and residual deformations after
seismic loading.
• • Poor energy dissipation and limited ductility
in traditional reinforcement materials.
• • Need to enhance self-centering ability and
reduce post-earthquake repair costs.
• • Lack of sufficient experimental and
numerical studies on SMA-RC columns under
cyclic loading.
4.
Literature Review
• •Previous studies (e.g., Dolce et al., Saiidi et
al.) demonstrated SMA bars improve energy
dissipation and re-centering.
• • Numerical models show SMA integration
enhances hysteretic behavior.
• • Limited full-scale experimental validation.
• • Most studies focus on beams or joints; fewer
on columns subjected to realistic seismic
demands.
5.
Research Gap
• •Insufficient experimental data on SMA-RC
column performance under dynamic loading.
• • Lack of comprehensive numerical models
calibrated with experimental results.
• • Unclear influence of SMA ratio, location, and
type on overall column behavior.
• • Need for design guidelines incorporating
SMA reinforcement for seismic design.
6.
Objectives
• • Toevaluate the seismic performance of
SMA-reinforced concrete columns.
• • To develop experimental and numerical
models for SMA-RC columns.
• • To investigate the effect of SMA
reinforcement ratio and location on seismic
response.
• • To propose design recommendations for
SMA-RC columns for earthquake-resistant
structures.
7.
Research Plan
• Phase1: Literature Review
• – Study existing work on SMA materials and
SMA-RC structures.
• Phase 2: Experimental Investigation
• – Design and test SMA-RC column specimens
under cyclic loading.
• Phase 3: Numerical Simulation