Experimental study on crack initiation and propagation of wood with LT-type crack using digital image correlation (DIC) technique and acoustic emission (AE)

Tu, Juncheng; Zhao, Dong; Zhao, Jun; Zhao, Qi

doi:10.1007/s00226-020-01252-8

Cited by 13 publications

(6 citation statements)

References 34 publications

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“…The use of acoustic emission methods [48,49] and other modern methods [11,50,51] contributes to a better understanding of the physical aspects of brittle fracture and plasticity of wood, as well as other materials at various stages of their deformation [52,53]. The input data for calculations according to the proposed model uses the concept of stiffness but not the modulus of elasticity and other physical constants of the material, so the modeling technique (under some constraints) is indifferent to the defects and features of wood, which, considered as a structure in accordance with [4].…”

Section: Discussionmentioning

confidence: 99%

Differential Energy Criterion of Brittle Fracture as a Criterion for Wood’s Transition to the Plastic Deformation Stage

2023

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An experimental study and modeling of the behavior of wood during compression along the fibers was carried out. The nonlinear analytical dependence of the load on the strain was considered. Attention was focused on the post-peak stage of deformation in order to determine the load and displacement at which the transition to the stage of plastic deformation occurs. The work was aimed at substantiating the application of the energy criterion of brittle fracture as a criterion for the transition to the stage of plastic deformation. To achieve this goal, methods of mathematical modeling and analysis of test results were used. As an upshot, a simple and practical procedure was developed to predict the transition point to the above stage of plastic deformation. The simulation results were consistent with laboratory tests of samples and fragments of structures. The practical significance of this criterion lies in its possible use as an additional tool for analyzing the condition of some wooden structures. Energy criteria, including the one mentioned above, belong to fairly universal criteria. Accordingly, the research methodology can be adapted to analyze the behavior of, for example, composites under other types of loads in further studies.

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Section: Discussionmentioning

confidence: 99%

Differential Energy Criterion of Brittle Fracture as a Criterion for Wood’s Transition to the Plastic Deformation Stage

2023

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“…The IoU variable is utilized to assess the intersection ratio between the estimated box and the bounding box of the actual ground truth. x and y symbolize the coordinate (12) where β represents the outlier degree. A higher outlier degree indicates poor anchor box quality, and a smaller gradient gain is allocated to reduce the attention given to low-quality anchor boxes.…”

Section: Improved Loss Functionmentioning

confidence: 99%

“…The inevitable problem with this technique is that rays can cause harm to the human body. Defect detection methods based on acoustic emission signals [11,12] that detect the presence of defects by receiving transient elastic waves generated by stress in wood have also been proposed. However, this technology is limited to identifying elastic waves generated by wood deformation and cannot identify nonstructural defects.…”

Section: Introductionmentioning

confidence: 99%

Wood defect detection based on the CWB-YOLOv8 algorithm

An,

Liang,

Qin

et al. 2024

J Wood Sci

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As an important renewable resource, wood is widely used in various industries. When addressing wood defects that limit the amount of wood used during processing, manual inspection and other technologies are not suitable for automated production scenarios. In this paper, we first establish our own dataset, which includes information about multiple tree species and multiple defects types, to enhance the overall applicability of the proposed model. Second, target detection technology involving deep learning is used for defect detection. The conditional parametric convolution (CondConv), Wise-IoU, and BiFormer modules are used to improve upon the latest YOLOv8 algorithm. Based on the experimental findings, the suggested approach exhibits notable improvements in terms of both the mAP@0.5 index and the mAP@0.5:0.95 index, surpassing the performance of the YOLOv8 algorithm by 3.5% and 5.8%, respectively. It also has advantages over other target detection algorithms. The proposed method can effectively improve wood utilization and automated wood processing technology.

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“…It is currently one of the most promising experimental technology for strain detection [7,8]. In recent years, DIC technology has been widely used in wood products and was proven practical in many fields of wood research [9][10][11][12], such as mechanical property testing and drying of the wood. Bjurhager et al [13] used DIC technology to compare the elastic moduli of juvenile European aspen and hybrid aspen.…”

Section: Introductionmentioning

confidence: 99%

Fine Characterization and Analysis of Drying Strain of the ELM Board via DIC Technology

Liu¹,

Zhu²,

Jin³

et al. 2023

Journal of Renewable Materials

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In this paper, the occurrence and development mechanism of strain on the cross-section during the wood drying is explored. Therefore, strain regularity on the cross-section of 50 mm thickness elm (Ulmus rubra) board at the temperature of 40°C and 80°C is detected via digital image correlation technology. Hence, the difference between tangential and radial strain at surface and core layers was denoted. The results showed that strain distribution in the width direction of the board is uneven. Moreover, a large drying shrinkage strain occurs at the near-core layer, while the maximum strain difference reaches 4.08%. Hence, the surface of the board is cracked along the thickness direction. The radial strain of the board is higher than the tangential strain in the early stage of drying, while these strains are reversed in the later stage of drying. The temperature is related to the difference between the tangential and radial strains of the elm board. These differences at the core layer are larger than those of the surface layer. The conducted research results provide a theoretical basis for process optimization.

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Experimental study on crack initiation and propagation of wood with LT-type crack using digital image correlation (DIC) technique and acoustic emission (AE)

Cited by 13 publications

References 34 publications

Differential Energy Criterion of Brittle Fracture as a Criterion for Wood’s Transition to the Plastic Deformation Stage

Differential Energy Criterion of Brittle Fracture as a Criterion for Wood’s Transition to the Plastic Deformation Stage

Wood defect detection based on the CWB-YOLOv8 algorithm

Fine Characterization and Analysis of Drying Strain of the ELM Board via DIC Technology

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