Effect of moisture content on propagation characteristics of acoustic emission signal of Pinus massoniana Lamb

Li, Xinci; Ju, Shenghong; Luo, Tao; Li, Ming

doi:10.1007/s00107-019-01478-9

Cited by 14 publications

(7 citation statements)

References 21 publications

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“…It is worth noticing that, when β is low, the attenuation energy rate (i.e., the energy loss) is at its minimum as the sample is almost dry and, in such a case, the energy detection is optimal; conversely, when β is high, the energy loss is high, as the sample is almost wet. Such a result is in accordance with the effect of moisture content on the propagation of acoustic emission signals in Pinus massoniana, as described by Li et al[15]. Moreover, this…”

supporting

confidence: 92%

“…The acoustic waves propagate inside wooden material in different ways according to the type of wood [11] or the directionality of wood (radial, tangential, or longitudinal) within the same wood species [10]. Therefore, the acoustic emission monitoring has a wide variety of applications: it is an early warning technique that is useful for preventive detection of the stability of a structure before it can suffer damage from earthquakes or landslides [12]; it can be useful to detect the type and direction of grains in a wood [13]; and it can estimate moisture content in wooden objects [14,15] pinpointing its response to environmental variability [10,16].…”

Section: Introductionmentioning

confidence: 99%

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Calibration of Acoustic Emission Parameters in Relation to the Equilibrium Moisture Content Variations in a Pinus sylvestris Beam

et al. 2021

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Under constant temperature conditions, air relative humidity variations affect hygroscopic objects, such as wood, modifying their moisture content and provoking, at low values, damages and fractures. The parameters (amplitude, counts, and energy) derived from the acoustic emission non-destructive technique are calibrated with respect to equilibrium moisture content values using 14 samplings of Pinus sylvestris. The experimental procedure uses multi-technique approaches involving a universal testing machine, digital image correlation, and acoustic emissions, and notes that the three parameters of acoustic emission strictly depend on the equilibrium moisture content. For a better interpretation, a statistical approach is applied to model the equilibrium moisture content variations radially and longitudinally. Amplitude, counts, and energy are calibrated as a function of the equilibrium moisture content, indicating that all three parameters are necessary to have an integral vision of the conservation of a wooden material. Moreover, the shape of the macro-fractures that occur at the surface can be associated with the level of moisture or dryness of the sample. Finally, the proposed method can be used in situ because, through acoustic emission monitoring, it is possible to quantify the fingerprint of the state of conservation of a material.

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supporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Calibration of Acoustic Emission Parameters in Relation to the Equilibrium Moisture Content Variations in a Pinus sylvestris Beam

et al. 2021

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“…The voltage range at the output of the acquisition card used was set to −5 V, 5 V, and its sam-pling frequency was a maximum of 2 MHz. The current study [26,27] showed that the highest frequency of AE signal propagation in wood was around 200 kHz. According to Nyquist's sampling theorem [28], to make the recovered analog signal undistorted, the sampling frequency should be greater than, or equal to, two times the maximum signal frequency, so the sampling frequency of each channel was set to 500 kHz during the acquisition process, as shown in Figure 1.…”

Section: Experimental Materialsmentioning

confidence: 94%

Study on Attenuation Characteristics of Acoustic Emission Signals with Different Frequencies in Wood

Mao

Fang

et al. 2022

Sensors

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To study the effect of frequency on the attenuation characteristics of acoustic emission signals in wood, in this paper, two types of hard wood and soft wood were studied separately, and the energy attenuation model of the propagation process of AE sources with different frequencies was established. First, using the piezoelectric inverse effect of the AE sensor, an arbitrary waveform generator was used to generate frequency-tunable pulses in the range of 1 kHz to 150 kHz as the AE source, where the AE source energy could be regulated by the output voltage level. Then, five AE sensors were placed at equal intervals of 100 mm on the surface of the specimen to collect AE signals, and the sampling frequency was set to 500 kHz. Finally, the energy value of AE signal of each sensor was calculated based on the AC principle, and the energy attenuation model was established by exponential fitting. The results showed that both the amplitude and energy of the AE signals of different frequencies showed negative exponential decay with the increase of propagation distance, and, at the same frequency, the change of AE source energy level had no significant effect on its attenuation rate. Compared with hard wood, the energy attenuation of the AE signal of soft wood was more sensitive to the change of frequency, and, at the same frequency, the attenuation rate of soft wood was smaller than that of hard wood.

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“…5. It can be seen that while the velocity of the AE signal is decreased with increasing the MC, the higher water content in wood results in more energy loss and worsens the transmission quality of the AE signal [63].…”

Section: Eventmentioning

confidence: 98%

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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Effect of moisture content on propagation characteristics of acoustic emission signal of Pinus massoniana Lamb

Cited by 14 publications

References 21 publications

Calibration of Acoustic Emission Parameters in Relation to the Equilibrium Moisture Content Variations in a Pinus sylvestris Beam

Calibration of Acoustic Emission Parameters in Relation to the Equilibrium Moisture Content Variations in a Pinus sylvestris Beam

Study on Attenuation Characteristics of Acoustic Emission Signals with Different Frequencies in Wood

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

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