TY - GEN
T1 - Modeling and simulation of architectured iron-based SMA materials
AU - Zaki, Wael
AU - Cissé, Cheikh
AU - Zineb, Tarak Ben
N1 - Funding Information:
Dr. Wael Zaki would like to acknowledge the financial support of Khalifa University through KUIRF level 2 research fund no. 210114.
Publisher Copyright:
© 2017 ASME.
PY - 2017
Y1 - 2017
N2 - The paper presents results of finite element analysis of architectured iron-based shape memory alloy (SMA) samples consisting of bulk SMA and void combined to different proportions and according to different geometric patterns. The finite element simulation uses a constitutive model for iron-based SMAs that was recently developed by the authors in order to account for the behavior of the bulk material. The simulation of the architectured SMA is then carried out using a unit cell method to simplify calculations and reduce computation time. For each unit cell, periodic boundary conditions are assumed and enforced. The validity of this assumption is demonstrated by comparing the average behavior of one unit cell to that of a considerably larger sample comprising multiple such cells. The averaging procedure used is implemented numerically, by calculating volume averages of mechanical fields such as stress and strain over each finite element model considered as a combination of mesh elements.
AB - The paper presents results of finite element analysis of architectured iron-based shape memory alloy (SMA) samples consisting of bulk SMA and void combined to different proportions and according to different geometric patterns. The finite element simulation uses a constitutive model for iron-based SMAs that was recently developed by the authors in order to account for the behavior of the bulk material. The simulation of the architectured SMA is then carried out using a unit cell method to simplify calculations and reduce computation time. For each unit cell, periodic boundary conditions are assumed and enforced. The validity of this assumption is demonstrated by comparing the average behavior of one unit cell to that of a considerably larger sample comprising multiple such cells. The averaging procedure used is implemented numerically, by calculating volume averages of mechanical fields such as stress and strain over each finite element model considered as a combination of mesh elements.
UR - http://www.scopus.com/inward/record.url?scp=85035789646&partnerID=8YFLogxK
U2 - 10.1115/SMASIS2017-3759
DO - 10.1115/SMASIS2017-3759
M3 - Conference contribution
AN - SCOPUS:85035789646
T3 - ASME 2017 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2017
BT - Modeling, Simulation and Control of Adaptive Systems; Integrated System Design and Implementation; Structural Health Monitoring
T2 - ASME 2017 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2017
Y2 - 18 September 2017 through 20 September 2017
ER -