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

Bielefeldt, Brent R.; Hochhalter, Jacob; Hartl, Darren J.

doi:10.1177/1475921717721194

Cited by 10 publications

(6 citation statements)

References 73 publications

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“…Rios et al considered DT as the corresponding digital product of physical products [39]. For the aircraft industry, Bielefeldt et al argued that DT was an ultra-realistic multi-physics computational model associated with each unique aircraft [40]. Bazilevs et al defined DT as a complete digital correspondence structure model in the physical world [41].…”

Section: Evolving Definitionsmentioning

confidence: 99%

Digital Twin-Enabled Internet of Vehicles Applications

Gao,

Peng,

Yoshinaga

et al. 2024

Electronics

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The digital twin (DT) paradigm represents a groundbreaking shift in the Internet of Vehicles (IoV) landscape, acting as an instantaneous digital replica of physical entities. This synthesis not only refines vehicular design but also substantially augments driver support systems and streamlines traffic governance. Diverging from the prevalent research which predominantly examines DT’s technical assimilation within IoV infrastructures, this review focuses on the specific deployments and goals of DT within the IoV sphere. Through an extensive review of scholarly works from the past 5 years, this paper provides a fresh and detailed perspective on the significance of DT in the realm of IoV. The applications are methodically categorized across four pivotal sectors: industrial manufacturing, driver assistance technology, intelligent transportation networks, and resource administration. This classification sheds light on DT’s diverse capabilities to confront and adapt to the intricate challenges in contemporary vehicular networks. The intent of this comprehensive overview is to catalyze innovation within IoV by providing an essential reference for researchers who aspire to swiftly grasp the complex dynamics of this evolving domain.

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Section: Evolving Definitionsmentioning

confidence: 99%

Digital Twin-Enabled Internet of Vehicles Applications

Gao,

Peng,

Yoshinaga

et al. 2024

Electronics

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“…Particles in composite [256] Fibers in composite [44, 45, 214, 288, 291] [ 117, 118, 159, 247, 326],…”

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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“…The SMA particles embedded in the structure can be availed for health monitoring of the structure with the help of stress-induced phase transformation behavior. The health of the structure can be accessed by observing the changes in mechanical and electromagnetic behavior of discontinuous forms of SMA when a crack is generated in the vicinity of these discontinuous SMAs [165].…”

Section: Health Monitoringmentioning

confidence: 99%

A review on shape memory alloy reinforced polymer composite materials and structures

Bhaskar

Sharma

Bhattacharya

et al. 2020

Smart Mater. Struct.

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Imparting controllable flexural rigidity into a material system is one of the key motivations for the design of intelligent materials for structural applications. In this direction, shape memory alloy (SMA) reinforced polymer composites have enormous potentials for active shape and vibration control of systems related to aerospace, automobile, and energy harvesting applications. The primary motivation of reinforcing SMA wires into a composite is to actively change the composite stiffness or elasticity through thermo-mechanical as well as electrical/magnetic stimulation. The SMA -reinforced hybrid composites are found to be able to adapt their shape, which may also improve the specific strength, vibration damping, and self-healing capability by utilizing shape memory effect and pseudoelastic behavior of the SMA. In this paper, we intend to provide a comprehensive review of all SMA -reinforced composites available today in the open literature and a critical assessment of the technology. Currently, shape memory alloys in the form of long fibers (wires), ribbons, short fibers, and particles are used for hybridizing the reinforcements in composites. Continuous SMA fiber embedded composites are generally used for shape control of structures. However, it has difficulty in obtaining suitable interfacial characteristics required for actuation. The discontinuous SMA embedded composites have scope for modifying such active properties. The work presented here gives an overview of the concepts of design, development, and modeling of continuous and discontinuous shape memory alloy embedded composites for advanced smart composites.

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

Cited by 10 publications

References 73 publications

Digital Twin-Enabled Internet of Vehicles Applications

Digital Twin-Enabled Internet of Vehicles Applications

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

A review on shape memory alloy reinforced polymer composite materials and structures

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