Research on stress wave wood nondestructive testing technology

Wei, Xiwen; Du, Chunxiao; Xu, Shuzheng; Tian, Cong; Yang, Xinnian; Hu, Lina; Pang, Peng

doi:10.1088/1742-6596/2366/1/012035

Cited by 4 publications

(3 citation statements)

References 12 publications

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“…The water depths of the eight test points were 7.1, 8.9, 11.1, 11.6, 15.0, 17.1, 19.4, and 20.7 m, respectively. For each test site, 10 sets of standard penetration tests were designed for different rod lengths to investigate the hammering energy transmission efficiency of the probe rod at survey depths of 5,10,15,20,25,30,35,40,45, and 50 m, respectively.…”

Section: Test Schemementioning

confidence: 99%

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Experimental Study on Axial Stress and Hammer Impacting Energy of Offshore Standard Penetration Test

Sun,

Zhang,

Sun

et al. 2023

Applied Sciences

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Standard penetration test (SPT) has been widely used in offshore exploration because of its unique advantages. Unlike onshore exploration, offshore construction areas are characterized by high waves and water depths ranging from several meters to tens of meters. As a result, the reliability of offshore SPT is significantly reduced compared with onshore SPT. Currently, the probe rod length correction of SPT is not involved in geotechnical engineering investigation codes and related research, which greatly limits the application of this method in offshore exploration. Therefore, a series of SPTs were carried out in offshore environments with different water depths, with a maximum rod length of 65 m. The acceleration and axial stress at each test point of the rod were monitored by the dynamic signal data acquisition system, and the hammer impacting energy at each test point was obtained by Force–Velocity (F-V) method. The test results show that the correction of the rod length of the offshore SPT is different from that of the traditional SPT, and it needs to be further corrected for the water depth. In this paper, a modified method of rod length for offshore SPT is proposed, which can provide reference for the application of offshore SPT.

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Section: Test Schemementioning

confidence: 99%

“…From the one-dimensional wave theory, the theoretical wave velocity in the probe rod can be calculated from Equation (1) [30][31][32][33][34][35][36]:…”

Section: Stress Wave Propagation Velocity Analysismentioning

confidence: 99%

Experimental Study on Axial Stress and Hammer Impacting Energy of Offshore Standard Penetration Test

Sun,

Zhang,

Sun

et al. 2023

Applied Sciences

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“…For decades, researchers have used invasive (destructive) methods to detect internal defects in wood [13]. However, since the 1960s, NDE methods have been used to determine the growth characteristics and physical-mechanical properties of standing wood and to detect internal defects in the stem [14]. At present, forest managers and arborists use nondestructive techniques to locate and quantify defects and deterioration in wood at different stands and forest scales [5,15,16].…”

Section: Introductionmentioning

confidence: 99%

Using Acoustic Tomography to Model Wood Deterioration in Cedrelinga cateniformis Ducke in the Peruvian Amazon

Cardenas-Rengifo,

Baselly-Villanueva,

Chumbimune-Vivanco

et al. 2024

Forests

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Forest plantations can be established in order to restore degraded areas. Acoustic tomography, which is of increasing importance in forest management, was used in the present study to obtain information for managing plantations of Cedrelinga cateniformis Ducke in the Peruvian Amazon. The species is valuable in the timber sector of Peru, but the core wood tends to deteriorate and develop cavities. The main objective of the study was to model wood deterioration in Cedrelinga cateniformis Ducke using the data obtained through acoustic tomography. Eight plantations of varying ages were analyzed using acoustic tomography in order to obtain indicators of wood deterioration. Biometric, climatic, and edaphic data (explanatory variables) were also measured in each plantation. The indicator variables and explanatory variables were compared and evaluated using correlation and principal component analysis. Wood deterioration was modelled using stepwise regression. The indicator variables differed significantly between plantations and were mainly correlated with the biometric variables (age and diameter at breast height). The models explained 81% of the variability of pith rot. The percentage rotten area was minimal in young plantations (1%), and the opposite was observed in mature trees (21.5 to 25.6%). The study findings provide valuable information, enabling foresters to determine the optimal age and diameter for felling Cedrelinga cateniformis in plantations in the Peruvian Amazon.

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Machine learning based tomographic image reconstruction technique to detect hollows in wood

Yıldızcan,

Arı,

Tunga

et al. 2024

Wood Sci Technol

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A new technique based on machine learning algorithms was introduced to detect internal wood defects. This technique relies on analyzing segmented propagation rays of stress waves and successfully generates the tomographic images of the defects by using the stress wave velocity. Utilizing a dual-stage methodology, the initial phase involves ray segmentation for the precise delineation of stress wave propagation, while the subsequent stage integrates advanced classification and clustering algorithms to facilitate the generation of tomographic images. This approach effectively tackles the inherent challenges associated with accurate segmentation and classification of stress wave velocity rays. The effectiveness of the proposed method was evaluated using both synthetic and experimental data. The results showed that the proposed method, when compared with some state-of-the-art methods, has a superior ability to accurately detect defective regions in the wood. The success of the proposed method is evaluated with four different evaluation metrics. It determined that over 90% success is achieved for all metrics. In comparison with related studies, it determined that the results are improved by 7–22% compared to the literature.

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Research on stress wave wood nondestructive testing technology

Cited by 4 publications

References 12 publications

Experimental Study on Axial Stress and Hammer Impacting Energy of Offshore Standard Penetration Test

Experimental Study on Axial Stress and Hammer Impacting Energy of Offshore Standard Penetration Test

Using Acoustic Tomography to Model Wood Deterioration in Cedrelinga cateniformis Ducke in the Peruvian Amazon

Machine learning based tomographic image reconstruction technique to detect hollows in wood

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