Computational modeling of porous shape memory alloys

被引：76

作者：

Panico, M. ^{[1
]}

Brinson, L. C. ^{[1
,2
]}

机构：

[1] Northwestern Univ, Dept Mech Engn, Evanston, IL 60208 USA

[2] Northwestern Univ, Dept Mat Sci & Engn, Evanston, IL 60208 USA

来源：

INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES | 2008年 / 45卷 / 21期

基金：

美国国家科学基金会;

关键词：

Phase transformation; Shape memory alloys; Simulations; Porous materials; Cyclic loading;

D O I：

10.1016/j.ijsolstr.2008.06.005

中图分类号：

O3 [力学];

学科分类号：

08 ; 0801 ;

摘要：

In this study the mesoscopic behavior of porous shape memory alloys has been simulated with particular attention to the mechanical response under cyclic loading conditions. A recently developed constitutive law, accounting for full martensite reorientation as well as phase transformation, was implemented into the commercial finite element code ABAQUS. Due to stress concentrations in a porous microstructure, the constitutive law was enhanced to account for the development of permanent inelasticity in the shape memory matrix. With this simulation method, the complex interaction between porosity, local phase transformation and macroscale response has been evaluated. The results have implications for use of porous SMAs in biomedical and structural applications. (C) 2008 Elsevier Ltd. All rights reserved.

引用

页码：5613 / 5626

页数：14

共 50 条

[41] Constitutive modeling of shape memory alloys at finite strain
Pethö, A
ZEITSCHRIFT FUR ANGEWANDTE MATHEMATIK UND MECHANIK, 2001, 81 : S355 - S356
[42] Review of Neural Network Modeling of Shape Memory Alloys
Hmede, Rodayna
Chapelle, Frederic
Lapusta, Yuri
SENSORS, 2022, 22 (15)
[43] Shape Memory Alloys Cyclic Modeling for Proportional Loadings
Malecot, P.
Lexcellent, C.
Foltete, E.
Collet, M.
Tirelli, D.
SMST 2006: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SHAPE MEMORY AND SUPERELASTIC TECHNOLOGIES, 2008, : 569 - +
[44] Modeling of shape memory alloys based on microplane theory
Kadkhodaei, M.
Salimi, M.
Rajapakse, R. K. N. D.
Mahzoon, M.
JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 2008, 19 (05) : 541 - 550
[45] Constitutive modeling of cyclic behavior in shape memory alloys
Mehrabi, Reza
Shirani, Milad
Kadkhodaei, Mahmoud
Elahinia, Mohammad
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, 2015, 103 : 181 - 188
[46] Macroscopic modeling of functional fatigue in shape memory alloys
Barrera, Noemi
Biscari, Paolo
Urbano, Marco Fabrizio
EUROPEAN JOURNAL OF MECHANICS A-SOLIDS, 2014, 45 : 101 - 109
[47] A method for the computational assessment of the damping performance of shape-memory alloys
Krack, M.
Boettcher, J.
SMART MATERIALS AND STRUCTURES, 2014, 23 (08)
[48] Computational Modeling of Adaptive Trusses with Shape Memory Alloy Members
Toi, Yutaka
Tsukamoto, Kazunori
ENGINEERING LETTERS, 2011, 19 (01) : 31 - 37
[49] Computational and experimental analyses of martensitic transformation propagation in shape memory alloys
Shariat, Bashir S.
Bakhtiari, Sam
Yang, Hong
Liu, Yinong
JOURNAL OF ALLOYS AND COMPOUNDS, 2019, 806 : 1522 - 1528
[50] Computational aspects of conservative difference schemes for shape memory alloys applications
Melnik, RVN
Wang, L
Matus, P
Rybak, L
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2003, PT 2, PROCEEDINGS, 2003, 2668 : 791 - 800

← 1 2 3 4 5 →