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One-Dimensional Thermomechanical Constitutive Relations for Shape Memory Materials

Liang, C., Rogers, C.A.·1990·Journal of Intelligent Material Systems and Structures

Abstract

The use of the thermoelastic martensitic transformation and its reverse transformation has recently been proposed and demonstrated for several active control ap plications. However, the present constitutive models have lacked several important funda mental concepts that are essential for many of the proposed intelligent material system ap plications such as shape memory hybrid composites. A complete, unified, one-dimensional constitutive model of shape memory materials is developed and presented in this paper. The thermomechanical model formulation herein will investigate important material characteristics involved with the internal phase transformation of shape memory alloys. These characteristics include energy dissipation in the material that governs the damping behavior, stress-strain-temperature relations for pseudoelasticity, and the shape memory effect. Some numerical examples using the model are also presented.

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Metadata

Authors
Liang, C., & Rogers, C. A.
Venue
Journal of Intelligent Material Systems and Structures
Published
1990-04
Volume
1
Issue
2
Pages
207-234
ISSN
  • 1045-389X (ISSN-L)
  • 1530-8138
OpenAlex
W1969717963
Cited by
1,210
References
0
FWCI
5.51
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: One-Dimensional Thermomechanical Constitutive Relations for Shape Memory Materials. https://app.cochat.ai/papers/10.1177/1045389x9000100205
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Liang, C., & Rogers, C. A. (1990). One-Dimensional Thermomechanical Constitutive Relations for Shape Memory Materials. Journal of Intelligent Material Systems and Structures. https://doi.org/10.1177/1045389x9000100205

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.