Using 3D digital image correlation in an identification of defects of trees subjected to bending

Tippner, Jan; Praus, Luděk; Brabec, Martin; Sebera, Václav; Vojáčková, Barbora; Milch, Jaromír

doi:10.1016/j.ufug.2019.126513

Cited by 8 publications

(9 citation statements)

References 34 publications

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“…No effect of strain measurements on samples with or without bark was found for young red oak branches, but the bark tested was much less pronounced at thicknesses less than 2 mm ( Dahle, 2017 ). Tippner et al. (2019) used 3D-DIC imaging to non-invasively detect defects in tree branches and roots ( Figures 9D, E ).…”

Section: Recent Examples For Digital Image Correlation In Plant Sciencesmentioning

confidence: 99%

Digital image correlation techniques for motion analysis and biomechanical characterization of plants

Mylo,

Poppinga

2024

Front. Plant Sci.

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Temporally and spatially complex 3D deformation processes appear in plants in a variety of ways and are difficult to quantify in detail by classical cinematographic methods. Furthermore, many biomechanical test methods, e.g. regarding compression or tension, result in quasi-2D deformations of the tested structure, which are very time-consuming to analyze manually regarding strain fields. In materials testing, the contact-free optical 2D- or 3D-digital image correlation method (2D/3D-DIC) is common practice for similar tasks, but is still rather seldom used in the fundamental biological sciences. The present review aims to highlight the possibilities of 2D/3D-DIC for the plant sciences. The equipment, software, and preparative prerequisites are introduced in detail and advantages and disadvantages are discussed. In addition to the analysis of wood and trees, where DIC has been used since the 1990s, this is demonstrated by numerous recent approaches in the contexts of parasite-host attachment, cactus joint biomechanics, fruit peel impact resistance, and slow as well as fast movement phenomena in cones and traps of carnivorous plants. Despite some technical and preparative efforts, DIC is a very powerful tool for full-field 2D/3D displacement and strain analyses of plant structures, which is suitable for numerous in-depth research questions in the fields of plant biomechanics and morphogenesis.

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Section: Recent Examples For Digital Image Correlation In Plant Sciencesmentioning

confidence: 99%

Digital image correlation techniques for motion analysis and biomechanical characterization of plants

Mylo,

Poppinga

2024

Front. Plant Sci.

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“…They also concluded that digital image correlation (DIC) can be used to measure mechanical strain during static loading trials. Strain is a direct result of loading [24][25][26] and is increasingly being used in arboricultural studies [26][27][28][29][30][31][32][33]. While many practitioners suggest that branch attachment angle is a predictor of union stability, the literature has shown that attachment angle is not correlated with strength [10,11,13,21,34,35].…”

Section: Introductionmentioning

confidence: 99%

Can Mechanical Strain and Aspect Ratio Be Used to Determine Codominant Unions in Red Maple without Included Bark

Dahle

Eckenrode

Smiley³

et al. 2022

Forests

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Arborists maintain trees in landscapes where failure can cause damage to infrastructure. Codominant branch unions are considered less stable than lateral branch unions. Previous research has found that unions can be considered codominant when aspect ratio is greater than 0.70 when included bark is present, yet it remains unclear if this threshold is reasonable in the absences of included bark. We utilized digital image correlation to measure strain (deformation) and separation angle to failure to better understand how mechanical loads move through Acer rubrum L. (red maple) branch unions. Strain was found to be higher in the branch regions in limb failure and ball and socket failure modes and strain was greater in the branch protection zone regions of imbedded and flat failures. Strain at failure was found to decrease with increasing aspect ratio, plateauing beyond aspect ratios of 0.83. In the absence of included bark, red maple branch unions appear to become codominant at aspect ratio of 0.83. We recommend that arborists should proactively manage to keep aspect ratios lower than 0.60 and consider mitigation options as aspect ratios approach 0.70.

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“…Researchers have proved the utility of DIC for measuring deformations in laboratory testing of wood 53 , concrete 54 , masonry 55 , glass panels of curtain walls 56 , and composites 57 , etc. Measurements using DIC in the field are becoming more widespread, including applications in metal additive manufacturing 58 , 59 , welding-induced deformations 60 , trees 61 , 62 , thermal barrier coatings 63 , and aircraft crashes 64 , from the micro- to the structural scale 65 . Several in situ experiments were carried out also in civil engineering on concrete bridges 66 ; other large structures 67 ; diaphragm walls, which are used as a support for deep excavations 68 ; and displacements and strains of pipelines due to temperature variations of the fluid 68 .…”

Section: Introductionmentioning

confidence: 99%

Assessment of pavement deflection under vehicle loads using a 3D-DIC system in the field

Núñez-Temes

Bastos

Arza-García

et al. 2022

Sci Rep

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This study aims to introduce the use of 3D-digital image correlation (DIC) to the in situ testing of pavements and to support the development of techniques for a rapid evaluation of the conservation status of existing roads. Little research was found on this topic. The passage of a car wheel on an asphalt pavement was adopted as a case study. The DIC measurements were compared to those gathered by contact sensors. From a qualitative point of view, the DIC measurements captured the realistic shape of a deflection basin. From a quantitative point of view, the deflection values provided by the DIC system had a mean error of 0.015 mm and a standard deviation of 0.011 mm. At the moment of highest load, these errors had a mean value and standard deviation of − 0.016 mm and 0.021 mm, respectively. Thus, to improve the accuracy of the system, we propose modifying the camera support, speckle pattern, and control of natural light.

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Using 3D digital image correlation in an identification of defects of trees subjected to bending

Cited by 8 publications

References 34 publications

Digital image correlation techniques for motion analysis and biomechanical characterization of plants

Digital image correlation techniques for motion analysis and biomechanical characterization of plants

Can Mechanical Strain and Aspect Ratio Be Used to Determine Codominant Unions in Red Maple without Included Bark

Assessment of pavement deflection under vehicle loads using a 3D-DIC system in the field

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