Fractional Stochastic Wave Modeling of Ultrasonic Attenuation in Particulate Cementitious Heterogeneous Media

Ultrasonic attenuation in particle–cementitious heterogeneous media results from the coupled effects of matrix memory dissipation and particle-induced random heterogeneity, which cannot be readily distinguished using conventional homogeneous-medium models. This study develops a unified stochastic fractional wave framework that couples Caputo fractional dissipation with a random-potential representation of spatial heterogeneity. The main contribution is an analytically tractable amplitude–phase formulation that separates the leading-order roles of the two mechanisms: fractional dissipation primarily governs exponential amplitude attenuation, with k(w)∝w α−1, whereas the random potential mainly modulates local phase propagation and introduces finite scattering-type amplitude corrections. By transforming the governing equation into a frequency-domain Helmholtz form and applying Wentzel–Kramers–Brillouin (WKB) asymptotic analysis, explicit scaling relations are obtained for both attenuation and phase fluctuations. Two-dimensional Helmholtz simulations support the predicted attenuation law and show that the relative L2 error of the WKB phase prediction decreases from 25.23% to 5.36%, while the covariance-based fixed-receiver ensemble phase-variance prediction lies within the 95% confidence interval of 30 independent realizations. Single-frequency ultrasonic transmission experiments provide complementary trend-level evidence, showing reduced tail retention and increased descriptive tail attenuation with increasing particle volume fraction. The proposed framework provides a mechanistically interpretable basis for distinguishing dissipation-dominated and heterogeneity-induced ultrasonic responses.

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Publication Details

Journal
Fractal and Fractional
Published
2026-08-20
DOI
https://doi.org/10.3390/fractalfract10080583
Primary Topic
Ultrasonics and Acoustic Wave Propagation
Type
article
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article

Fractional Stochastic Wave Modeling of Ultrasonic Attenuation in Particulate Cementitious Heterogeneous Media

Zhihan Shi, Guangming Zhang, Haoran Zheng, Chao Lu et al.
Fractal and Fractional
Ultrasonics and Acoustic Wave Propagation
article

Fractional Stochastic Wave Modeling of Ultrasonic Attenuation in Particulate Cementitious Heterogeneous Media

Zhihan Shi, Guangming Zhang, Haoran Zheng, Chao Lu, Jian Bai
article en

Abstract

Ultrasonic attenuation in particle–cementitious heterogeneous media results from the coupled effects of matrix memory dissipation and particle-induced random heterogeneity, which cannot be readily distinguished using conventional homogeneous-medium models. This study develops a unified stochastic fractional wave framework that couples Caputo fractional dissipation with a random-potential representation of spatial heterogeneity. The main contribution is an analytically tractable amplitude–phase formulation that separates the leading-order roles of the two mechanisms: fractional dissipation primarily governs exponential amplitude attenuation, with k(w)∝w α−1, whereas the random potential mainly modulates local phase propagation and introduces finite scattering-type amplitude corrections. By transforming the governing equation into a frequency-domain Helmholtz form and applying Wentzel–Kramers–Brillouin (WKB) asymptotic analysis, explicit scaling relations are obtained for both attenuation and phase fluctuations. Two-dimensional Helmholtz simulations support the predicted attenuation law and show that the relative L2 error of the WKB phase prediction decreases from 25.23% to 5.36%, while the covariance-based fixed-receiver ensemble phase-variance prediction lies within the 95% confidence interval of 30 independent realizations. Single-frequency ultrasonic transmission experiments provide complementary trend-level evidence, showing reduced tail retention and increased descriptive tail attenuation with increasing particle volume fraction. The proposed framework provides a mechanistically interpretable basis for distinguishing dissipation-dominated and heterogeneity-induced ultrasonic responses.

Fractal and FractionalVol. 10(8)
Nanjing Tech University (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 17%
Ultrasonics and Acoustic Wave Propagation
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Fractional Stochastic Wave Modeling of Ultrasonic Attenuation in Particulate Cementitious Heterogeneous Media — Zhihan Shi, Guangming Zhang, et al. · Fractal and Fractional (2026) | TGRS Research Map | TGRS