Modeling of strain energy absorption in superelastic shape memory alloys

Hongyu Jia; Frederic Lalande; Craig A. Rogers

doi:10.1117/12.276572

13 June 1997 Modeling of strain energy absorption in superelastic shape memory alloys

Hongyu Jia, Frederic Lalande, Craig A. Rogers

Proceedings Volume 3039, Smart Structures and Materials 1997: Mathematics and Control in Smart Structures; (1997) https://doi.org/10.1117/12.276572
Event: Smart Structures and Materials '97, 1997, San Diego, CA, United States

Abstract

The mechanical behavior of shape memory alloys (SMA) can be separated into two distinct categories: the shape memory effect and the superelastic effect. When loaded, the superelastic SMA undergoes a stress-induced martensitic transformation that will result in a large recoverable strain. Upon unloading, the undergoes a large hysteresis loop that makes the superelastic SMA an excellent candidate for strain energy absorption. This large strain energy absorption capability has been used to improve the impact tolerance of composites in related work. It is to further understand this strain energy absorption capability in composites that a 1D model to evaluate the energy absorption of superelastic shape memory alloy under bending and tension loading is developed using the Euler-Bernoulli beam theory. This theoretical model gives quantitative relations between the martensite fraction, the applied load, and the strain energy absorbed in the SMA. As expected, the superelastic SMA as demonstrated a very high strain energy absorption capability, demonstrating the advantage of using superelastic SMA to absorb strain energy. The closed form solution of the strain energy absorption capability of SMA bars provides a useful tool in the design of energy dissipation applications of superelastic SMA.

Citation Download Citation

Hongyu Jia, Frederic Lalande, and Craig A. Rogers "Modeling of strain energy absorption in superelastic shape memory alloys", Proc. SPIE 3039, Smart Structures and Materials 1997: Mathematics and Control in Smart Structures, (13 June 1997); https://doi.org/10.1117/12.276572

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