CHANG Li-hong,QIAN Wei,CHANG Hao,et al.Detection of Internal Voids in Wooden Components by Stress Waves[J].Chinese Journal of Wood Science and Technology,2022,36(04):70-76.
CHANG Li-hong,QIAN Wei,CHANG Hao,et al.Detection of Internal Voids in Wooden Components by Stress Waves[J].Chinese Journal of Wood Science and Technology,2022,36(04):70-76. DOI: 10.12326/j.2096-9694.2022009.
Detection of Internal Voids in Wooden Components by Stress Waves
To evaluate the interior voids in wood components, the stress wave, a nondestructive testing technology was used to assess fir wood. The stress wave images were analyzed. The attenuation of the stress wave propagate through different voids areas were measured. In order to reduce the prediction error of discrimination, the Mahalanobis distance was proposed to detect the degree of voids. The results showed that the location of interior voids was detected through the stress wave images. According to the concept of Mahalanobis distance, five paths were used to analyze the attenuation law of the stress wave through different interior voids areas. A discrimination model was established to evaluate the degree of the interior voids in the wood components. The stress wave not only detected the voids of small area voids, but also assessed the large area interior voids. The method improves the measurement precision of the location and the area of the interior voids in the wood components, as well as provides a basis for the prevention and detection of the interior voids in the wood structures.
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