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AuthorZhang, Guangdong
AuthorHu, Bo
AuthorAlnuaimi, Hamad
AuthorAmjad, Umar
AuthorKundu, Tribikram
Available date2025-04-20T10:30:40Z
Publication Date2024-03-31
Publication NameUltrasonics
Identifierhttp://dx.doi.org/10.1016/j.ultras.2024.107259
ISSN0041624X
URIhttps://www.sciencedirect.com/science/article/pii/S0041624X24000210
URIhttp://hdl.handle.net/10576/64339
AbstractA newly developed nonlinear ultrasonic (NLU) technique called sideband band peak count-index (or SPC-I) measures the degree of nonlinearity in materials by counting the sideband peaks above a moving threshold line – larger the SPC-I values, higher is the material nonlinearity. In various published papers, the SPC-I technique has shown its effectiveness in structural health monitoring (SHM) applications. However, the effects of different types of nonlinear phenomenon on the sideband peak generation is yet to be investigated in depth. This work addresses this knowledge gap and investigates the effects of different types of nonlinearity on the SPC-I technique. Three types of nonlinearity (material nonlinearity, structural nonlinearity and contact nonlinearity) are investigated separately through numerical modeling. In this investigation the material nonlinearity and the contact nonlinearity are modeled by finite element method (FEM) using the commercial Abaqus/CAE software. The structural nonlinearity arising from stationary cracks is modeled using nonlocal peridynamics based peri-ultrasound modeling technique. Numerical modeling shows that the sideband peak values do not increase proportional to the input signal strength thus indicating nonlinear response, and different types of nonlinearities affect the SPC-I measurements differently. For the experimental verification a composite plate with impact-induced damage is considered for investigating the material nonlinearity and structural nonlinearity while a linear elastic aluminum plate is used to examine the contact nonlinearity between the transducers and the plate. The trends observed in the experimental observations matched with the numerical model predictions.
SponsorThis work is supported by the Fundamental Research Funds for the Central Universities of Central South University (Grant No. 2022ZZTS0647). The financial support provided by Central South University (CSU) in China towards the first author’s stay at the University of Arizona is gratefully acknowledged.
Languageen
PublisherElsevier
SubjectNonlinear ultrasonic technique
SPC-I technique
Numerical modeling
Various nonlinearities
Structural health monitoring
TitleNumerical modeling with experimental verification investigating the effect of various nonlinearities on the sideband peak count-index technique
TypeArticle
Volume Number138
ESSN1874-9968
dc.accessType Full Text


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