Evaluation of digital volume correlation (DVC) applicability in silicon dioxide (SiO2) particle-doped carbon fibre reinforced polymers using in situ synchrotron radiation computed tomography (SRCT)
Evaluation of digital volume correlation (DVC) applicability in silicon dioxide (SiO2) particle-doped carbon fibre reinforced polymers using in situ synchrotron radiation computed tomography (SRCT)
Digital Volume Correlation is a powerful non-intrusive technique capable of full-field strain mapping of internal structures via displacement tracking. The principles of DVC have been successfully applied to unidirectional (UD) Carbon Fibre Reinforced Polymers (CFRPs) by doping with trackable particles (i.e. fiducial
markers), thereby enabling strain mapping of materials with an inherent self-similar microstructure [1]. In this paper, the utility of Silicon Dioxide (SiO2) particle-doped CFRPs for DVC analysis is investigated. Compared to previous use of BaTiO3 particles, SiO2 is investigated on the basis of having established commercial use in CFRPs, whilst from an imaging perspective it will be less strongly attenuating. In this paper, DVC combined with in situ Synchrotron Radiation Computed Tomography (SRCT) is applied to SiO2–doped UD CFRPs under quasi-static tensile loading to explore the evolution of individually fractured 0° fibre into clusters of breaks. DVC strain uncertainties are quantified through stationary and rigid body displacement tests, with results being compared for BaTiO3 and SiO2 particle-doped materials.
Lee, Yeajin
68771a14-4343-4e99-9837-832b10b6b5e7
Schoberl, Erich
d2b5dc9a-b340-47bd-874c-bdbcc6b499da
Ball, K.
b9f5b1bd-02b6-4c82-86dc-335a08738be6
Furtado, Carolina
8fb60d13-13ac-4f9b-aa47-8a8576594e69
Patel, Palak
19a7ecc1-0a46-4008-ab0c-5624de4079ce
Arteiro, Albertino
41ec4711-2e82-4b35-a359-14d1a08d4907
Majkut, Marta
d3263233-290d-4869-96b5-7f6b1b8bf731
Halfen, Lukas
ffd83d7f-7f36-4f8a-9527-dabe7e6dab4e
Wardle, Brian
a79e14c1-4da6-49fa-9eaf-d13fd4f0f85e
Tsuneo, Takano
e146d926-a9a2-46a6-84d0-1f375c812342
Yasuhiro, Fukuhara
ebabb39f-2d7e-48f1-be85-154ae7640035
Naoki, Sugiura
d40ec7b3-74a5-4b6b-93d5-4bcbd30efe4a
Jalalvand, Meisam
21ef0df8-fc7c-4466-a2fc-ee98ed3408a2
Mavrogordato, Mark
f3e0879b-118a-463a-a130-1c890e9ab547
Spearing, Mark
9e56a7b3-e0e8-47b1-a6b4-db676ed3c17a
Sinclair, Ian
6005f6c1-f478-434e-a52d-d310c18ade0d
September 2022
Lee, Yeajin
68771a14-4343-4e99-9837-832b10b6b5e7
Schoberl, Erich
d2b5dc9a-b340-47bd-874c-bdbcc6b499da
Ball, K.
b9f5b1bd-02b6-4c82-86dc-335a08738be6
Furtado, Carolina
8fb60d13-13ac-4f9b-aa47-8a8576594e69
Patel, Palak
19a7ecc1-0a46-4008-ab0c-5624de4079ce
Arteiro, Albertino
41ec4711-2e82-4b35-a359-14d1a08d4907
Majkut, Marta
d3263233-290d-4869-96b5-7f6b1b8bf731
Halfen, Lukas
ffd83d7f-7f36-4f8a-9527-dabe7e6dab4e
Wardle, Brian
a79e14c1-4da6-49fa-9eaf-d13fd4f0f85e
Tsuneo, Takano
e146d926-a9a2-46a6-84d0-1f375c812342
Yasuhiro, Fukuhara
ebabb39f-2d7e-48f1-be85-154ae7640035
Naoki, Sugiura
d40ec7b3-74a5-4b6b-93d5-4bcbd30efe4a
Jalalvand, Meisam
21ef0df8-fc7c-4466-a2fc-ee98ed3408a2
Mavrogordato, Mark
f3e0879b-118a-463a-a130-1c890e9ab547
Spearing, Mark
9e56a7b3-e0e8-47b1-a6b4-db676ed3c17a
Sinclair, Ian
6005f6c1-f478-434e-a52d-d310c18ade0d
Lee, Yeajin, Schoberl, Erich, Ball, K., Furtado, Carolina, Patel, Palak, Arteiro, Albertino, Majkut, Marta, Halfen, Lukas, Wardle, Brian, Tsuneo, Takano, Yasuhiro, Fukuhara, Naoki, Sugiura, Jalalvand, Meisam, Mavrogordato, Mark, Spearing, Mark and Sinclair, Ian
(2022)
Evaluation of digital volume correlation (DVC) applicability in silicon dioxide (SiO2) particle-doped carbon fibre reinforced polymers using in situ synchrotron radiation computed tomography (SRCT).
16th International Conference on Advances in Experimental Mechanics, St Anne's College, University of Oxford, UK, Oxford, United Kingdom.
06 - 08 Sep 2022.
2 pp
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Digital Volume Correlation is a powerful non-intrusive technique capable of full-field strain mapping of internal structures via displacement tracking. The principles of DVC have been successfully applied to unidirectional (UD) Carbon Fibre Reinforced Polymers (CFRPs) by doping with trackable particles (i.e. fiducial
markers), thereby enabling strain mapping of materials with an inherent self-similar microstructure [1]. In this paper, the utility of Silicon Dioxide (SiO2) particle-doped CFRPs for DVC analysis is investigated. Compared to previous use of BaTiO3 particles, SiO2 is investigated on the basis of having established commercial use in CFRPs, whilst from an imaging perspective it will be less strongly attenuating. In this paper, DVC combined with in situ Synchrotron Radiation Computed Tomography (SRCT) is applied to SiO2–doped UD CFRPs under quasi-static tensile loading to explore the evolution of individually fractured 0° fibre into clusters of breaks. DVC strain uncertainties are quantified through stationary and rigid body displacement tests, with results being compared for BaTiO3 and SiO2 particle-doped materials.
Text
evaluation-of-digital-volume-correlation-dvc-applicability-in-silicon-dioxide-sio2-particle-doped-carbon-fibre-reinforced-polymers-using-in-situ-synchrotron-radiation-computed
- Version of Record
More information
Published date: September 2022
Venue - Dates:
16th International Conference on Advances in Experimental Mechanics, St Anne's College, University of Oxford, UK, Oxford, United Kingdom, 2022-09-06 - 2022-09-08
Identifiers
Local EPrints ID: 486715
URI: http://eprints.soton.ac.uk/id/eprint/486715
PURE UUID: f493bd74-4469-40d5-849a-00ce8dbec995
Catalogue record
Date deposited: 05 Feb 2024 17:30
Last modified: 18 Mar 2024 03:57
Export record
Contributors
Author:
Yeajin Lee
Author:
Erich Schoberl
Author:
Carolina Furtado
Author:
Palak Patel
Author:
Albertino Arteiro
Author:
Marta Majkut
Author:
Lukas Halfen
Author:
Brian Wardle
Author:
Takano Tsuneo
Author:
Fukuhara Yasuhiro
Author:
Sugiura Naoki
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics
