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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).
A nonlinear thermomechanical constitutive model of shape memory polymer (SMP) is developed by modifying a linear model.
A multi-dimensional continuum-level constitutive model of shape memory alloys exhibiting pseudoelastic behavior has been developed in this paper.
We propose a method to simultaneously learn a model of shape variation and the behavioral structure of objects in volumetric data sets.
In this investigation, the equivalent linear elastic-viscous model of shape memory alloy (SMA) is established for seismic analysis of base-isolated structures using system identification method.
Similar(48)
In this paper, we focus on mid-level modeling of shape representation.
Based on the experimental identification of the phase transformation surface, a modelling of shape memory alloys anisothermal behaviour is proposed.
The present paper focuses on modeling of shape memory alloys using microplane formulation in a thermodynamically-consistent framework.
In this paper, a prescriptive deviation modelling method coupled with machine learning techniques is proposed to address the modelling of shape deviations in additive manufacturing.
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.
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