Crack Propagation and Fracture Process Zone (FPZ) of Wood in the Longitudinal Direction Determined Using Digital Image Correlation (DIC) Technique

Yu, Ying; Zeng, Weihang; Li, Wen; He, Zhaohan; Wang, Xiaohong

doi:10.3390/rs11131562

Cited by 28 publications

(7 citation statements)

References 29 publications

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“…Studies have shown that as the number of cracks increase, the values of MOE noticeably decrease. This observation confirms the results of previous research conducted by Schajer et al [ 26 ], Olsson et al [ 58 , 61 ], Burchelt et al [ 17 ], and Yu et al [ 62 ] concerning the effect of the presence of cracks on the timber strength index determined using the modulus of elasticity. The Spearman’s rank correlation coefficient for wide planes labeled as 0 and 1 had slightly negative values of R = −0.342 and R = −0.356, respectively.…”

Section: Resultssupporting

confidence: 92%

The Strength of Pine (Pinus sylvestris L.) Sawn Timber in Correlation with Selected Wood Defects

et al. 2022

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Pine timber of Polish origin intended for structural purposes is characterized by significant variability in the quality parameters. Technological suitability determined on the basis of relevant international classifications is based on the assessment of both selected mechanical and physical properties of wood. Moreover, the description of visual properties is also a valuable indicator regarding defect distribution. In the group of quality features playing a crucial role in the classification of sawn timber, there are knots, disruptions of grains, cracks, etc. Thus, the aim of the research was to determine the correlation between the presence of selected defects and the strength properties of individual timber pieces. This type of study is based on a nondestructive test method that allows for high optimization of sawn materials processing. In the case of sawn timber of Polish origin, the modulus of elasticity (MOE) determined using the sonic test is commonly used as a criterion. The research material was harvested from southern Poland. The results of the conducted studies confirmed a correlation between an increasing occurrence of particular types of defects and the results of MOE. Furthermore, as a result of the performed investigations, no significant effect of narrow surface cracks on strength properties was observed.

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Section: Resultssupporting

confidence: 92%

The Strength of Pine (Pinus sylvestris L.) Sawn Timber in Correlation with Selected Wood Defects

et al. 2022

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“…These features manifest themselves at the post-peak stage of deformation due to the growth of plastic strains and, as a consequence, the appearance of an almost horizontal section on the load-displacement curve. For example, for cubic spruce specimens of 40 × 40 × 40 mm (humidity 18%) under compression along the fibers with a controlled displacement of 10 mm/min (Figure 1), experimental curves (Figure 2) were obtained (in the laboratory of the Institute of Forestry, Mining and Construction Sciences, Petrozavodsk State University), which are similar to other experimental curves of comparable tests known from the literature [30,[38][39][40]. We will analyze the behavior of wood under uniaxial compression using the plots in Figure 2 and the results of acoustic emission measurements in comparable tests known from the literature [30,33].…”

Section: Load-displacement Curve In Compression Tests Of Wood Along T...supporting

confidence: 78%

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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“…Tracking-based methods DIC: Bhattacharjee and Deb, 85 Yu et al 86 DIC-EFG: Zhu et al 87 Keypoint tracking using optical flow: Yin et al, 88 Kong and Li 89 Full field optical flow: Yang et al 90…”

Section: Crack Propagation Monitoringmentioning

confidence: 99%

“…During load test, the crack changes can also be monitored by using their approaches. Yu et al 86 monitored the crack propagation and fracture process zone of wood structures by using DIC to measure the crack mouth opening displacements. Zhu et al 87 integrated DIC and Element-free Galerkin (EFG) technique to evaluate the full field strain including the crack tip and calculate the stress intensity factor.…”

Section: Cv-shm-llmentioning

confidence: 99%

A review of computer vision–based structural health monitoring at local and global levels

Dong

Çatbaş

2020

Structural Health Monitoring

464

165

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Structural health monitoring at local and global levels using computer vision technologies has gained much attention in the structural health monitoring community in research and practice. Due to the computer vision technology application advantages such as non-contact, long distance, rapid, low cost and labor, and low interference to the daily operation of structures, it is promising to consider computer vision–structural health monitoring as a complement to the conventional structural health monitoring. This article presents a general overview of the concepts, approaches, and real-life practice of computer vision–structural health monitoring along with some relevant literature that is rapidly accumulating. The computer vision–structural health monitoring covered in this article at local level includes applications such as crack, spalling, delamination, rust, and loose bolt detection. At the global level, applications include displacement measurement, structural behavior analysis, vibration serviceability, modal identification, model updating, damage detection, cable force monitoring, load factor estimation, and structural identification using input–output information. The current research studies and applications of computer vision–structural health monitoring mainly focus on the implementation and integration of two-dimensional computer vision techniques to solve structural health monitoring problems and the projective geometry methods implemented are utilized to convert the three-dimensional problems into two-dimensional problems. This review mainly puts emphasis on two-dimensional computer vision–structural health monitoring applications. Subsequently, a brief review of representative developments of three-dimensional computer vision in the area of civil engineering is presented along with the challenges and opportunities of two-dimensional and three-dimensional computer vision–structural health monitoring. Finally, the article presents a forward look to the future of computer vision–structural health monitoring.

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Crack Propagation and Fracture Process Zone (FPZ) of Wood in the Longitudinal Direction Determined Using Digital Image Correlation (DIC) Technique

Cited by 28 publications

References 29 publications

The Strength of Pine (Pinus sylvestris L.) Sawn Timber in Correlation with Selected Wood Defects

The Strength of Pine (Pinus sylvestris L.) Sawn Timber in Correlation with Selected Wood Defects

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

A review of computer vision–based structural health monitoring at local and global levels

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