Determination of the Characteristic Parameters of Tension-Compression Asymmetry of Shape Memory Alloys Using Full-Field Measurements

Chemisky, Yves; Echchorfi, Rachid; Meraghni, Fodil; Bourgeois, Nadine; Piotrowski, Boris

doi:10.4028/www.scientific.net/msf.738-739.281

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…This work considers the construction of an accurate model of the system and the calibration of the response of the SMA particles in using experimental full-field strain data gathered using image correlation systems, 29 as will be demonstrated herein. Similar work has been done by Chemisky et al, 30 who approximated the material parameters of a NiTi alloy such that complex predictions of its behavior could be computed with a relative error of less than 1%.…”

Section: Introductionmentioning

confidence: 71%

Shape memory alloy sensory particles for damage detection: Experiments, analysis, and design studies

Bielefeldt

Hochhalter

Hartl

2017

Structural Health Monitoring

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Developing novel techniques for monitoring structural integrity has become an important area of research in the aerospace community. One new technique exploits the stress-induced phase transformation behavior in shape memory alloy particles embedded in a structure. By monitoring changes in the mechanical and/or electromagnetic behavior of such particles, the formation or propagation of fatigue cracks in the vicinity of these particles can be detected. This work demonstrates sensory particle response to local structural damage using finite element modeling for the first time. Using an optimization method to minimize the difference between experimentally measured strain and simulated results, a good approximation of sensory particle properties can be determined and the strong sensory response of the transforming particle demonstrated. To illustrate an application of this method, a multi-scale finite element model of sensory particles embedded in the root rib of an aircraft wing is then considered. In particular, this unique model utilizes substructure modeling to maintain computational efficiency while relating globally applied loads to local structural response, allowing for the consideration of predicted particle response to crack propagation during wing loading. The effect of particle position relative to the crack tip on particle sensory response is assessed. Finally, this work demonstrates how sensory particles can be used to approximate the location of structural damage by interpolating a stress field based on the responses of multiple sensory particles in the vicinity of a propagating crack.

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Section: Introductionmentioning

confidence: 71%

Shape memory alloy sensory particles for damage detection: Experiments, analysis, and design studies

Bielefeldt

Hochhalter

Hartl

2017

Structural Health Monitoring

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“…Ring [241] Notched plate [238] [ 67, 107, 127, 145, 153, 173-175, 180, 190, 199, 205, 208, 209, 217, 222, 230, 234, 237, 238, 246-248, 251, 256, 262, 267, 274, 279, 282, 284, 292, 304, 305, 322] Meuwissen specimen [198,210,211] Diamond shape [287,303] Porous SMA [318,320] 3D printed [232,286,302,308]…”

Section: Conclusion and Suggestions For Future Workmentioning

confidence: 99%

Applying Full-Field Measurement Techniques for the Thermomechanical Characterization of Shape Memory Alloys: A Review and Classification

Delpueyo

Jury

Balandraud

et al. 2021

Shap. Mem. Superelasticity

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Full-field measurement techniques are now mature. As such, they have profoundly impacted the experimental mechanics community in recent years. The way that shape memory alloys (SMAs) are now tested is not spare from this deep-rooted trend, as reflected by the increasing number of papers published in the SMA literature. In this context, the aim of this contribution is to give an overview of the use of full-field measuring techniques for SMA characterization purposes. We recall first the basic principle of one volume and four surface techniques employed in this community. Several typical papers where such techniques are employed are then presented, by highlighting in each case the extent to which the thermomechanical response of SMAs could be better understood and modeled thanks to these techniques. A classification by several criteria of about 300 references is finally offered and discussed. The main criteria are the type of SMA, the type of technique employed to perform the measurements, and the type of test.

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Determination of the Characteristic Parameters of Tension-Compression Asymmetry of Shape Memory Alloys Using Full-Field Measurements

Cited by 2 publications

References 13 publications

Shape memory alloy sensory particles for damage detection: Experiments, analysis, and design studies

Shape memory alloy sensory particles for damage detection: Experiments, analysis, and design studies

Applying Full-Field Measurement Techniques for the Thermomechanical Characterization of Shape Memory Alloys: A Review and Classification

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