A Computational Study on Material Model Selection for Shape Memory Alloys


  1. DeGiorgi, V.G.
  2. Saleem, H.
Corporate Authors
Naval Research Lab, Washington DC (US);Defence Research Establishment Atlantic, Dartmouth NS (CAN)
Computational simulations are an essential component in today's design process. The design and fabrication of smart materials in a production environment requires analytical and computational tools that can describe smart material behavior. Of concern in this paper are the material constitutive models to be used in computational analyses. Often there are questions concerning the accuracy of constitutive models for the active components such as shape memory alloys (SMAs). These constitutive models can substantially increase computational costs in terms of both memory and time requirements. Model size limitations and use of complex constitutive models are often competing factors. Therefore whether the use of complex constitutive models for smart components actually benefit the analysis of the device is an issue of concern to those in the smart materials design community. The current work examines the differences in computational simulations due to the choice of constitutive model for shape memory alloy. The device considered is a thick walled tube fabricated of SMA metal and subjected to torsion loading. The constitutive models examined are Tanaka's exponential model (1), Rogers-Liang cosine model (2) and Boyd-lagoudas et al. polynomial model (3,4). One common feature to all models is the complexity in the number of material parameters required. TRUNCATED
Shape memory materials;Smart materials
Report Number
DREA-SR-1999-162-PAP-5 — CONTAINED IN CA000150
Date of publication
01 Oct 1999
Number of Pages
Hardcopy;Document Image stored on Optical Disk

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