Characteristic Parameters of Magnetostrictive Guided Wave Testing for Fatigue Damage of Steel Strands.

attenuation coefficient fatigue life guided waves nonlinear coefficient notch frequency steel strand

Journal

Materials (Basel, Switzerland)
ISSN: 1996-1944
Titre abrégé: Materials (Basel)
Pays: Switzerland
ID NLM: 101555929

Informations de publication

Date de publication:
25 Jul 2023
Historique:
received: 19 06 2023
revised: 21 07 2023
accepted: 23 07 2023
medline: 12 8 2023
pubmed: 12 8 2023
entrez: 12 8 2023
Statut: epublish

Résumé

Steel strands are widely used in structures such as bridge cables, and their integrity is critical to keeping these structures safe. A steel strand is under the working condition of an alternating load for a long time, and fatigue damage is unavoidable. It is necessary to find characteristic parameters for evaluating fatigue damage. In this study, nonlinear coefficients and attenuation coefficients were employed to evaluate fatigue damage based on magnetostrictive guided wave testing. Unlike pipe and steel wire structures, there is a phenomenon of a notch frequency when guided waves propagate in steel strands. The influence of the notch frequency on the nonlinear coefficient and attenuation coefficient is discussed. The relationship between the nonlinear coefficient, attenuation coefficient, and cyclic loading times was obtained through experiments. The amplitudes of the nonlinear coefficient and attenuation coefficient both increased with the increase in cyclic loading times. The experiments also showed the effectiveness of using these two characteristic parameters to evaluate fatigue damage.

Identifiants

pubmed: 37569919
pii: ma16155215
doi: 10.3390/ma16155215
pmc: PMC10420041
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : National Natural Science Foundation of China
ID : 51575213
Organisme : National Natural Science Foundation of China
ID : 51675167
Organisme : Key research and development project of Hubei Province of China
ID : 2021BAA056

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Ultrasonics. 2017 Feb;74:106-123
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Ultrasonics. 2022 Aug;124:106738
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Ultrasonics. 2015 Mar;57:198-208
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pubmed: 28086108
J Acoust Soc Am. 2007 Jun;121(6):3398-408
pubmed: 17552691
Sensors (Basel). 2019 Aug 15;19(16):
pubmed: 31443323

Auteurs

Xiaohui Chen (X)

School of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan 442002, China.

Jiang Xu (J)

School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.

Yong Li (Y)

School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.

Shenghuai Wang (S)

School of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan 442002, China.

Classifications MeSH