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In this paper, we focus on mid-level modeling of shape representation.
The present paper focuses on modeling of shape memory alloys using microplane formulation in a thermodynamically-consistent framework.
In this work we consider the application of this approach to the modeling of shape memory alloys (SMAs), though its potential utility is much broader.
This paper deals with the modeling of Shape Memory Alloys (SMA) with embedded precipitates, and describes the effect of these precipitates on the phase transformation properties.
As a result, the torsional shape memory testing device and testing method described is expected to contribute to building complementary data for the thermomechanical modeling of shape memory polymers.
CAP database and heart modeling tools, comprising database management, uploading and downloading of images, web browser interface, conversion of data formats, visualization and parametric modeling of shape and motion, are being made available using the Mozilla Public License Version 1.1.
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We propose a universal approach to the problem of computer modeling of shapes with continuously varying material properties satisfying prescribed material conditions on a finite collection of material features and global constraints.
The shape pattern recognition model is a basic model of shape theory.
The strip buckling model is a basic model of shape theory too.
The nonlinear component is based on a capillary model of shape stability.
Martensite transformation kinetics is the principal factor underlying the constitutive model of shape memory alloys (SMAs).
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