Experimental investigation and modeling of low cycle fatigue behaviour of Ni-Ti shape memory alloy (SMA) rebar

Evaluating the low-cycle fatigue (LCF) response of Ni-Ti shape memory alloy (SMA) bars is essential for their reliable use in seismic-resistant structural components subjected to large strain reversals. Experimental investigations are conducted in this study to understand the LCF performance of Ni–Ti SMA bars with aspect ratios (L/D) of 5, 7, and 10 under cyclic tension–compression loading at strain amplitudes of 4% and 5%. The strain recovery capacity, degradation mechanisms, and fatigue life of the bars are examined to clarify their response under repeated inelastic deformation. A numerical model of a bridge pier equipped with Ni–Ti SMA reinforcement in the plastic hinge region is also developed in OpenSees to assess structural behavior following rebar fatigue failure. SMA fatigue degradation and the resulting post-failure column response are simulated using LCF model developed in a companion study. Results show that Ni–Ti SMA bars demonstrate favorable LCF characteristics, though reductions in strength and stiffness occur under reversed cyclic loading. LCF performance is strongly influenced by bar slenderness, with higher aspect ratios showing increased vulnerability to buckling-induced degradation. While the LCF performance of Ni-Ti SMA bars is promising, results highlight the need for careful optimization of rebar geometry and loading conditions to maximize their potential in enhancing structural resilience.

Authors

Institutions

Publication Details

Journal
Structures
Published
2026-03-28
DOI
https://doi.org/10.1016/j.istruc.2026.111741
Primary Topic
Shape Memory Alloy Transformations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Experimental investigation and modeling of low cycle fatigue behaviour of Ni-Ti shape memory alloy (SMA) rebar

Ali Mohammadgholipour, A. H. M. Muntasir Billah
Structures
Shape Memory Alloy Transformations
article

Experimental investigation and modeling of low cycle fatigue behaviour of Ni-Ti shape memory alloy (SMA) rebar

Ali Mohammadgholipour, A. H. M. Muntasir Billah
article en

Abstract

Evaluating the low-cycle fatigue (LCF) response of Ni-Ti shape memory alloy (SMA) bars is essential for their reliable use in seismic-resistant structural components subjected to large strain reversals. Experimental investigations are conducted in this study to understand the LCF performance of Ni–Ti SMA bars with aspect ratios (L/D) of 5, 7, and 10 under cyclic tension–compression loading at strain amplitudes of 4% and 5%. The strain recovery capacity, degradation mechanisms, and fatigue life of the bars are examined to clarify their response under repeated inelastic deformation. A numerical model of a bridge pier equipped with Ni–Ti SMA reinforcement in the plastic hinge region is also developed in OpenSees to assess structural behavior following rebar fatigue failure. SMA fatigue degradation and the resulting post-failure column response are simulated using LCF model developed in a companion study. Results show that Ni–Ti SMA bars demonstrate favorable LCF characteristics, though reductions in strength and stiffness occur under reversed cyclic loading. LCF performance is strongly influenced by bar slenderness, with higher aspect ratios showing increased vulnerability to buckling-induced degradation. While the LCF performance of Ni-Ti SMA bars is promising, results highlight the need for careful optimization of rebar geometry and loading conditions to maximize their potential in enhancing structural resilience.

StructuresVol. 87
University of Calgary (CA)
Openalex Percentile: Top 6%
Shape Memory Alloy Transformations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.