On the understanding of damping capacity in SMA

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On the understanding of damping capacity in SMA : From the material thermomechanical behaviour to the structure response. / Helbert, Guillaume; Volkov, Aleksandr ; Evard, Margarita; Dieng, Lamine; Chirani, Shabnam Arbab.

In: Journal of Intelligent Material Systems and Structures, Vol. 32, No. 11, ARTN 1045389X20974453, 07.2021, p. 1167-1184.

Research output: Contribution to journal › Article › peer-review

Author

Helbert, Guillaume ; Volkov, Aleksandr ; Evard, Margarita ; Dieng, Lamine ; Chirani, Shabnam Arbab. / On the understanding of damping capacity in SMA : From the material thermomechanical behaviour to the structure response. In: Journal of Intelligent Material Systems and Structures. 2021 ; Vol. 32, No. 11. pp. 1167-1184.

BibTeX

@article{a8e31852184b4f8690db852ad13a4e8f,

title = "On the understanding of damping capacity in SMA: From the material thermomechanical behaviour to the structure response",

abstract = "Superelastic Shape Memory Alloys (SMAs) provide a high damping capacity due to the hysteretic motion of the inter-phase boundaries during the martensitic transformation. They have demonstrated their ability to control vibrations of SMA-based Civil Engineering and Aerospace structures. In order to improve existing damping devices, characterization of SMA damping capacity is necessary, despite the lack of a standard procedure. Classical characterizations such as tensile or torsion tests on SMA samples are very attractive, the fact that they are common and simple to process. Furthermore, environment and loading conditions are quite easy to control. Different energy-based formulations have been proposed in the literature to explicitly predict SMA damping capacity from the hysteretic mechanical behaviour. The aim of this paper is to classify commonly used formulations from the literature, using a new thermomechanical vibration numerical model of a SMA beam structure. Thus, three energy-based predictions of SMA intrinsic damping ratio measured at the material scale are compared to the damping ratio measured from the free vibration signal at the SMA beam structure scale, taken as the objective reference. The formulation proposed by Piedb{\oe}uf and Gauvin provided a better match in three study-cases.",

keywords = "damping, finite elements analysis, Shape memory alloys, thermomechanical behaviour, vibration, TRANSFORMATION, STIFFNESS, SHAPE-MEMORY ALLOYS, NITI WIRES, DEFORMATION",

author = "Guillaume Helbert and Aleksandr Volkov and Margarita Evard and Lamine Dieng and Chirani, {Shabnam Arbab}",

year = "2021",

month = jul,

doi = "10.1177/1045389x20974453",

language = "English",

volume = "32",

pages = "1167--1184",

journal = "Journal of Intelligent Material Systems and Structures",

issn = "1045-389X",

publisher = "SAGE",

number = "11",

}

RIS

TY - JOUR

T1 - On the understanding of damping capacity in SMA

T2 - From the material thermomechanical behaviour to the structure response

AU - Helbert, Guillaume

AU - Volkov, Aleksandr

AU - Evard, Margarita

AU - Dieng, Lamine

AU - Chirani, Shabnam Arbab

PY - 2021/7

Y1 - 2021/7

N2 - Superelastic Shape Memory Alloys (SMAs) provide a high damping capacity due to the hysteretic motion of the inter-phase boundaries during the martensitic transformation. They have demonstrated their ability to control vibrations of SMA-based Civil Engineering and Aerospace structures. In order to improve existing damping devices, characterization of SMA damping capacity is necessary, despite the lack of a standard procedure. Classical characterizations such as tensile or torsion tests on SMA samples are very attractive, the fact that they are common and simple to process. Furthermore, environment and loading conditions are quite easy to control. Different energy-based formulations have been proposed in the literature to explicitly predict SMA damping capacity from the hysteretic mechanical behaviour. The aim of this paper is to classify commonly used formulations from the literature, using a new thermomechanical vibration numerical model of a SMA beam structure. Thus, three energy-based predictions of SMA intrinsic damping ratio measured at the material scale are compared to the damping ratio measured from the free vibration signal at the SMA beam structure scale, taken as the objective reference. The formulation proposed by Piedbœuf and Gauvin provided a better match in three study-cases.

AB - Superelastic Shape Memory Alloys (SMAs) provide a high damping capacity due to the hysteretic motion of the inter-phase boundaries during the martensitic transformation. They have demonstrated their ability to control vibrations of SMA-based Civil Engineering and Aerospace structures. In order to improve existing damping devices, characterization of SMA damping capacity is necessary, despite the lack of a standard procedure. Classical characterizations such as tensile or torsion tests on SMA samples are very attractive, the fact that they are common and simple to process. Furthermore, environment and loading conditions are quite easy to control. Different energy-based formulations have been proposed in the literature to explicitly predict SMA damping capacity from the hysteretic mechanical behaviour. The aim of this paper is to classify commonly used formulations from the literature, using a new thermomechanical vibration numerical model of a SMA beam structure. Thus, three energy-based predictions of SMA intrinsic damping ratio measured at the material scale are compared to the damping ratio measured from the free vibration signal at the SMA beam structure scale, taken as the objective reference. The formulation proposed by Piedbœuf and Gauvin provided a better match in three study-cases.

KW - damping

KW - finite elements analysis

KW - Shape memory alloys

KW - thermomechanical behaviour

KW - vibration

KW - TRANSFORMATION

KW - STIFFNESS

KW - SHAPE-MEMORY ALLOYS

KW - NITI WIRES

KW - DEFORMATION

UR - http://www.scopus.com/inward/record.url?scp=85097076568&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/37b37ccc-394e-30f0-9816-a8c04edb0de6/

U2 - 10.1177/1045389x20974453

DO - 10.1177/1045389x20974453

M3 - Article

AN - SCOPUS:85097076568

VL - 32

SP - 1167

EP - 1184

JO - Journal of Intelligent Material Systems and Structures

JF - Journal of Intelligent Material Systems and Structures

SN - 1045-389X

IS - 11

M1 - ARTN 1045389X20974453

ER -

ID: 73750045