The Effect of Wood Condition on Sound Wave Propagation

El-Hadad, Ahmed; Brodie, Graham; Ahmed, Berhan Shiday

doi:10.4236/oja.2018.83004

Cited by 13 publications

(15 citation statements)

References 20 publications

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“…It was also demonstrated that the signals detected by sensors S1 and S2 had a higher frequency nature (100 ~ 150 kHz) that better correlated with the damping behavior and viscoelastic properties of wood. This is consistent with the general statement that higher signal frequency is usually correlated with a higher attenuation rate [64]. On the other hand, the signals detected from sensors S3 and S4 have a lower frequency nature (30 ~ 50 kHz) and were less sensitive to the viscous properties of wood.…”

Section: Eventsupporting

confidence: 90%

Acoustic emission monitoring of wood materials and timber structures: A critical review

Nasir

Ayanleye

Kazemirad

et al. 2022

Construction and Building Materials

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Section: Eventsupporting

confidence: 90%

Acoustic emission monitoring of wood materials and timber structures: A critical review

Nasir

Ayanleye

Kazemirad

et al. 2022

Construction and Building Materials

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“…Using appropriate mathematical models, the complex permittivity is then calculated from the measured impedance or admittance. DS can be applied across an extensive frequency range, from very low frequencies in the millihertz (mHz) range to extremely high frequencies in the terahertz (THz) range [24][25][26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Electrical Properties at Multi-Frequencies for Analysis of Physical and Anatomical Properties of Fast-Growing Standing Teak Trees at Various Ages

Agustiningrum,

Siregar,

Damayanti

et al. 2024

Forests

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Fast-growing teak trees are cultivated extensively in Indonesia to meet the growing demand for teak wood. However, it is necessary to assess the conditions of teak stands throughout their growth period. The nondestructive testing of wood utilizing dielectric spectroscopy approaches based on electrical properties is currently under development, particularly for evaluating tree stands. This study aimed to analyze the dielectric values of fast-growing teak tree stands within a frequency range of 250 kHz to 60 MHz and to understand the relationship between their physical and anatomical properties. A capacitance measurement system was employed to collect dielectric spectroscopy data directly from trees aged 4, 5, and 7 years. Simultaneously, physical and anatomical samples were obtained using a 0.5 cm diameter increment borer. The results revealed significant differences in the fiber length, lumen diameter, and wall thickness at each age. The optimal dielectric frequency for distinguishing wood properties in standing trees was identified to be within a range of 18 MHz to 23 MHz. In the linear model, a moderate relationship was observed with a correlation coefficient of (r)0.403, although the coefficient of determination (r2) was weak at 0.162 for green density. However, a robust relationship was observed in the linear model for specific gravity with r = 0.826 and r2 = 0.682. A weak but significant relationship was also identified with r = 0.2, a coefficient of determination of r2 = 0.04, and a significance level < 0.05 in the predictive model of wood anatomy properties (vessel diameter and fiber wall thickness). Models with low r2 but high significance indicate that the independent variables still noticeably contribute to explaining the dependent variable. Further analysis and data processing can be enhanced by identifying the crucial variables in the capacitance measurement system.

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“…The attenuation rate of AE energy showed a significant linear relationship with the increase of MC, indicating that the change of MC had a significant influence on the propagation speed and energy of wood AE signal. El-Hadad et al 16 studied the effect of wood type, input signal frequency, signal transmission distance and wood health condition on AE signals. Ding et al 17 explored the fracture process of wood using information entropy and showed that the energy release of wood during fracture was stochastic in nature.…”

Section: Introductionmentioning

confidence: 99%

Study on the effect of different angles on the propagation characteristics of acoustic emission signals in wood

Huang

Fang

et al. 2023

Science Progress

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To explore the propagation characteristics of acoustic emission (AE) signals in wood at different angles. The AE signals at different angles were obtained by changing the angle of incidence by sawing the inclined surfaces at different angles. The Zelkova schneideriana specimen was sawn 5 times with an increment of 15°, and 5 different incidence angles were obtained. AE signals were collected by 5 sensors arranged equally on the surface of the specimen, AE energy and energy attenuation rate were calculated. The reflection signals corresponding to different angles were collected on the uncut specimen by changing the position of the sensors, and the propagation speed of the AE signals at different angles was calculated. The results showed that the kinetic energy provided by the external excitation is small, and the AE energy is mainly provided by the displacement potential energy. With the change of the incidence angle, the AE kinetic energy changes significantly. With the increase of the reflection angle, the speed of the reflected wave also continued to increase, and finally stabilized at 4600 m/s.

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The Effect of Wood Condition on Sound Wave Propagation

Cited by 13 publications

References 20 publications

Acoustic emission monitoring of wood materials and timber structures: A critical review

Acoustic emission monitoring of wood materials and timber structures: A critical review

Electrical Properties at Multi-Frequencies for Analysis of Physical and Anatomical Properties of Fast-Growing Standing Teak Trees at Various Ages

Study on the effect of different angles on the propagation characteristics of acoustic emission signals in wood

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