Dynamics of Shape Memory Alloys-Based Structures Accounting Minor Hysteresis Loops, Finite Deformation, and Thermomechanical Coupling

Abstract Shape Memory Alloys (SMAs) are notable for their ability to mitigate excess vibrations in structural applications through their energy dissipation phenomenon arising out of the unique stress-temperature-dependent martensitic phase transformation. For effective modeling of SMA-based components under dynamic loading, several factors, namely, the effects of inertia, partial phase transformation, large deformation and thermomechanical coupling, need to be considered. In this study, these interdependent effects are incorporated following Updated Lagrangian-based nonlinear finite element (FE) framework, using the hypoelastic constitutive model, relating logarithmic rate of Kirchhoff stress and that of Hencky strain, and is implemented along with the thermal energy equilibrium equation to account for the material level coupling. The effectiveness of the developed FE model is corroborated through the free and forced vibration responses of several SMA-based structures undergoing large deformation. Most importantly, the combined influence of inertia and transformation-induced latent heat is found to increase the displacement amplitude compared to that of the uncoupled response. Besides, if the minor hysteresis loops are not modeled, the damping capability of SMA is found to be underestimated. Furthermore, the frequency responses of these structures exhibit a shift in the resonating frequency, attributed to the material softening and hysteretic energy dissipation, and the same get affected in presence of thermomechanical coupling and extent of deformation.

Authors

Institutions

Publication Details

Journal
Journal of Computational and Nonlinear Dynamics
Published
2025-05-20
DOI
https://doi.org/10.1115/1.4068729
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

Dynamics of Shape Memory Alloys-Based Structures Accounting Minor Hysteresis Loops, Finite Deformation, and Thermomechanical Coupling

Atanu Banerjee, Animesh Kundu
Journal of Computational and Nonlinear Dynamics
Shape Memory Alloy Transformations
article

Dynamics of Shape Memory Alloys-Based Structures Accounting Minor Hysteresis Loops, Finite Deformation, and Thermomechanical Coupling

Atanu Banerjee, Animesh Kundu
article en

Abstract

Abstract Shape Memory Alloys (SMAs) are notable for their ability to mitigate excess vibrations in structural applications through their energy dissipation phenomenon arising out of the unique stress-temperature-dependent martensitic phase transformation. For effective modeling of SMA-based components under dynamic loading, several factors, namely, the effects of inertia, partial phase transformation, large deformation and thermomechanical coupling, need to be considered. In this study, these interdependent effects are incorporated following Updated Lagrangian-based nonlinear finite element (FE) framework, using the hypoelastic constitutive model, relating logarithmic rate of Kirchhoff stress and that of Hencky strain, and is implemented along with the thermal energy equilibrium equation to account for the material level coupling. The effectiveness of the developed FE model is corroborated through the free and forced vibration responses of several SMA-based structures undergoing large deformation. Most importantly, the combined influence of inertia and transformation-induced latent heat is found to increase the displacement amplitude compared to that of the uncoupled response. Besides, if the minor hysteresis loops are not modeled, the damping capability of SMA is found to be underestimated. Furthermore, the frequency responses of these structures exhibit a shift in the resonating frequency, attributed to the material softening and hysteretic energy dissipation, and the same get affected in presence of thermomechanical coupling and extent of deformation.

Journal of Computational and Nonlinear DynamicsVol. 20(10)
Indian Institute of Technology Guwahati (IN)
Openalex Percentile: Top 92%
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.