Estimation and experiment of acoustic properties of rice straw (estimation of sound absorption coefficient using CT images)

Plant-derived biomass, as a carbon-neutral resource, has gained prominence in recent years, with widespread applications in fuels, building materials, and other domains. The sound-absorbing characteristics of these materials, attributable to their shape and size, have been extensively studied. In this paper, we perform a theoretical estimation of the sound absorption coefficient using CT scan images of actual rice straw. The circumference of the internal structure and the void areas were determined from CT scan tomograms, and the normal-incidence sound absorption coefficient was then computed. The tortuosity of the rice straw was measured, and a theoretical sound absorption coefficient was derived using the tortuosity-adjusted effective density. The circumference and the cross-sectional area of the gaps in the rice straw cross-section were ascertained using CT tomographic images, enabling the theoretical estimation of the sound absorption coefficient. Overall, the theoretical values calculated in this study are deemed to be reasonable and corroborate the experimental findings.

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Publication Details

Journal
Noise Control Engineering Journal
Published
2025-05-01
DOI
https://doi.org/10.3397/1/377317
Citations
1
Primary Topic
Advanced Adaptive Filtering Techniques
Type
article
Field-Weighted Citation Impact
1.33
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article

Estimation and experiment of acoustic properties of rice straw (estimation of sound absorption coefficient using CT images)

Shotaro Seino, Shuichi Sakamoto, Kohta Hoshiyama, Yoshiaki Kojima
1 citations
Noise Control Engineering Journal
Advanced Adaptive Filtering Techniques
1.33
article

Estimation and experiment of acoustic properties of rice straw (estimation of sound absorption coefficient using CT images)

Shotaro Seino, Shuichi Sakamoto, Kohta Hoshiyama, Yoshiaki Kojima
article en
1 citations

Abstract

Plant-derived biomass, as a carbon-neutral resource, has gained prominence in recent years, with widespread applications in fuels, building materials, and other domains. The sound-absorbing characteristics of these materials, attributable to their shape and size, have been extensively studied. In this paper, we perform a theoretical estimation of the sound absorption coefficient using CT scan images of actual rice straw. The circumference of the internal structure and the void areas were determined from CT scan tomograms, and the normal-incidence sound absorption coefficient was then computed. The tortuosity of the rice straw was measured, and a theoretical sound absorption coefficient was derived using the tortuosity-adjusted effective density. The circumference and the cross-sectional area of the gaps in the rice straw cross-section were ascertained using CT tomographic images, enabling the theoretical estimation of the sound absorption coefficient. Overall, the theoretical values calculated in this study are deemed to be reasonable and corroborate the experimental findings.

Noise Control Engineering JournalVol. 73(2)
Niigata University (JP)
Openalex Percentile: Top 22%
Advanced Adaptive Filtering Techniques
1.33
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Estimation and experiment of acoustic properties of rice straw (estimation of sound absorption coefficient using CT images) — Shotaro Seino, Shuichi Sakamoto, et al. · Noise Control Engineering Journal (2025) | TGRS Research Map | TGRS