publication . Article . 2019

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

Jan Tippner; Luděk Praus; Martin Brabec; Václav Sebera; Barbora Vojáčková; Jaromír Milch;
Open Access English
  • Published: 03 Nov 2019 Journal: Urban Forestry & Urban Greening, volume 46, page 126,513 (issn: 16188667, Copyright policy)
Abstract Abrupt changes of climate have intensified during the last few decades, bringing higher risks from tree failures by either uprooting or stem breakage. To eliminate the risks, many techniques of tree assessment are being used. In the presented work, an optical technique based on 3D Digital Image Correlation (3D-DIC) was investigated as one of the tools to be used in identification of tree defects. Within the work, two ash trees were examined by pulling tests coupling 3D-DIC and standard techniques. The trees were measured in five consecutive steps of artificially made defects of two kinds - root and stem damage. We hypothesized defects can be identified ...
Persistent Identifiers
free text keywords: Arboriculture, Optical non-contact assessment, Pulling test, Strain, Tree defect, Tree-root system, Ecology, Forestry, Soil Science, Digital image correlation, Bending, Data acquisition, Statistical hypothesis testing, Mathematics, Data set, Stiffness, medicine.symptom, medicine, Extensometer, Breakage, Structural engineering, business.industry, business
Funded by
EC| InnoRenew CoE
InnoRenew CoE
Renewable materials and healthy environments research and innovation centre of excellence
  • Funder: European Commission (EC)
  • Project Code: 739574
  • Funding stream: H2020 | SGA-CSA
Validated by funder
Agricultural and Food Sciences
Rural Digital Europe
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