Matches in SemOpenAlex for { <https://semopenalex.org/work/W4381429767> ?p ?o ?g. }
- W4381429767 endingPage "110860" @default.
- W4381429767 startingPage "110860" @default.
- W4381429767 abstract "This paper aims to study the evolution of the 3D strain fields in a single yarn composite during fragmentation test. The internal full-field strains were obtained by coupling micro-CT scans with digital image correlation (DIC) and digital volume correlation (DVC). An ex-situ step-by-step fragmentation test was carried out on a sample made of a hemp yarn and a polymer matrix filled with metal oxide powder, playing the role of a three dimensional speckle. Macroscopic markers were also added to enable a precise geometric alignment during the 3D reconstruction. The analysis of the tomographic images showed a stepwise progression of the damage occurrence: yarn breaks appeared first, followed by internal matrix cracks and then edge cracks occurred for high strain levels. DIC method allowed to easily and quickly determine 2D strain maps in selected planes. The use of DVC was more complex and needed powerful computing systems but it gave the volumetric strains in the whole sample. DVC calculations were compared and validated by DIC results in central planes. Experimental results were also compared with finite element simulations. This study demonstrates the viability and benefits of combining DVC and micro-CT for a deeper understanding of complex 3D strains in single yarn composites." @default.
- W4381429767 created "2023-06-21" @default.
- W4381429767 creator A5033711596 @default.
- W4381429767 creator A5062868140 @default.
- W4381429767 creator A5081317001 @default.
- W4381429767 creator A5084739424 @default.
- W4381429767 date "2023-08-01" @default.
- W4381429767 modified "2023-09-27" @default.
- W4381429767 title "3D strain fields in a plant fibre composite during fragmentation test: Micro-CT based DIC and DVC" @default.
- W4381429767 cites W1900484456 @default.
- W4381429767 cites W1964002668 @default.
- W4381429767 cites W1968668723 @default.
- W4381429767 cites W1981258499 @default.
- W4381429767 cites W1995106400 @default.
- W4381429767 cites W2021346750 @default.
- W4381429767 cites W2024205583 @default.
- W4381429767 cites W2056450207 @default.
- W4381429767 cites W2059474375 @default.
- W4381429767 cites W2062898145 @default.
- W4381429767 cites W2076249607 @default.
- W4381429767 cites W2101645698 @default.
- W4381429767 cites W2127521930 @default.
- W4381429767 cites W2135464093 @default.
- W4381429767 cites W2427532354 @default.
- W4381429767 cites W2534562417 @default.
- W4381429767 cites W2538752686 @default.
- W4381429767 cites W2541172083 @default.
- W4381429767 cites W2564217272 @default.
- W4381429767 cites W2586067704 @default.
- W4381429767 cites W2799707091 @default.
- W4381429767 cites W2809807797 @default.
- W4381429767 cites W2891444286 @default.
- W4381429767 cites W2921286765 @default.
- W4381429767 cites W2939535667 @default.
- W4381429767 cites W2945676538 @default.
- W4381429767 cites W2990883936 @default.
- W4381429767 cites W3024983816 @default.
- W4381429767 cites W3034685777 @default.
- W4381429767 cites W3049288516 @default.
- W4381429767 cites W3111188338 @default.
- W4381429767 cites W3111963573 @default.
- W4381429767 cites W3119266639 @default.
- W4381429767 cites W3134432227 @default.
- W4381429767 cites W3135965331 @default.
- W4381429767 cites W3136513079 @default.
- W4381429767 cites W3168116963 @default.
- W4381429767 cites W3171703948 @default.
- W4381429767 cites W3182290360 @default.
- W4381429767 cites W3200282506 @default.
- W4381429767 cites W3205031562 @default.
- W4381429767 cites W3217044750 @default.
- W4381429767 cites W4226107918 @default.
- W4381429767 cites W4281251936 @default.
- W4381429767 cites W4281697906 @default.
- W4381429767 cites W4297004029 @default.
- W4381429767 cites W4313215793 @default.
- W4381429767 doi "https://doi.org/10.1016/j.compositesb.2023.110860" @default.
- W4381429767 hasPublicationYear "2023" @default.
- W4381429767 type Work @default.
- W4381429767 citedByCount "0" @default.
- W4381429767 crossrefType "journal-article" @default.
- W4381429767 hasAuthorship W4381429767A5033711596 @default.
- W4381429767 hasAuthorship W4381429767A5062868140 @default.
- W4381429767 hasAuthorship W4381429767A5081317001 @default.
- W4381429767 hasAuthorship W4381429767A5084739424 @default.
- W4381429767 hasConcept C102290492 @default.
- W4381429767 hasConcept C104779481 @default.
- W4381429767 hasConcept C106487976 @default.
- W4381429767 hasConcept C111919701 @default.
- W4381429767 hasConcept C114614502 @default.
- W4381429767 hasConcept C115635565 @default.
- W4381429767 hasConcept C120665830 @default.
- W4381429767 hasConcept C121332964 @default.
- W4381429767 hasConcept C126322002 @default.
- W4381429767 hasConcept C159985019 @default.
- W4381429767 hasConcept C163716698 @default.
- W4381429767 hasConcept C191015642 @default.
- W4381429767 hasConcept C192562407 @default.
- W4381429767 hasConcept C2778022156 @default.
- W4381429767 hasConcept C2778787235 @default.
- W4381429767 hasConcept C33923547 @default.
- W4381429767 hasConcept C41008148 @default.
- W4381429767 hasConcept C66882249 @default.
- W4381429767 hasConcept C71924100 @default.
- W4381429767 hasConceptScore W4381429767C102290492 @default.
- W4381429767 hasConceptScore W4381429767C104779481 @default.
- W4381429767 hasConceptScore W4381429767C106487976 @default.
- W4381429767 hasConceptScore W4381429767C111919701 @default.
- W4381429767 hasConceptScore W4381429767C114614502 @default.
- W4381429767 hasConceptScore W4381429767C115635565 @default.
- W4381429767 hasConceptScore W4381429767C120665830 @default.
- W4381429767 hasConceptScore W4381429767C121332964 @default.
- W4381429767 hasConceptScore W4381429767C126322002 @default.
- W4381429767 hasConceptScore W4381429767C159985019 @default.
- W4381429767 hasConceptScore W4381429767C163716698 @default.
- W4381429767 hasConceptScore W4381429767C191015642 @default.
- W4381429767 hasConceptScore W4381429767C192562407 @default.
- W4381429767 hasConceptScore W4381429767C2778022156 @default.