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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Chateau, Camille
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (34/34 displayed)
- 2021Densities of hemp shiv for building, part I: multiscale characterization
- 2020Additive Manufacturing of Anisotropic Concrete: a Flow-Based Pultrusion of Continuous Fibers in a Cementitious Matrixcitations
- 2020Microstructure, deformation and microcracking of a 3D printed composite
- 2020X‐ray tomographic observations of microcracking patterns in fibre‐reinforced mortar during tension stiffening testscitations
- 20203D detection and quantitative characterization of cracks in a ceramic matrix composite tube using X-ray computed tomographycitations
- 2019Characterisation and modelling of interfacial damage in fibre-reinforced concrete for 3D printing in constructioncitations
- 2019Analysis of the damage initiation in a SiC/SiC composite tube from a direct comparison between large-scale numerical simulation and synchrotron X-ray micro-computed tomographycitations
- 2019Experimental and micromechanical investigation on the mechanical and durability properties of recycled aggregates concretecitations
- 2019Experimental and micromechanical investigation on the mechanical and durability properties of recycled aggregates concretecitations
- 2019Phase field method for microcracking simulations in concrete microstructure models obtained from 3D microtomography images
- 2018DVC-based image subtraction to detect microcracking in lightweight concretecitations
- 2017Modeling interactions between bulk and interfacial cracking in concrete microstructures with the phase field method
- 2017Large-scale simulations of quasi-brittle microcracking in realistic highly heterogeneous microstructures obtained from micro CT imagingcitations
- 2017Modeling of Complex Microcracking in Quasi-Brittle Materials: Numerical Methods and Experimental Validationscitations
- 2017Effects of braiding angle on damage mechanisms in SiC/SiC composite tubes characterized by X-ray computed tomography
- 2017Modelling of microcracking in image-based models of highly heterogeneous materials using the phase field method
- 2016A phase-field method for computational modeling of interfacial damage interacting with crack propagation in realistic microstructures
- 2016Massively parallel FFT-based simulation to analyze the behavior of architected SiC/SiC composite tubes from synchrotron X-ray tomography
- 2016On the choice of parameters in the phase field method for simulating crack initiation with experimental validationcitations
- 2016On the choice of parameters in the phase field method for simulating crack initiation with experimental validationcitations
- 20163D experimental detection and characterization of microcracking in porous cement based materials
- 2015Micromechanical modeling of the elastic behavior of unidirectional CVI SiC/SiC compositescitations
- 2015On the role of in-plane damage mechanisms on the macroscopic behavior of SiC/SiC composites from complementary 2D and 3D in-situ investigations
- 2015A phase-field method for microcracking simulation in concrete microstructure models obtained from microtomography images
- 2015A phase-field method for computational modeling of interfacial damage interacting with crack propagation in realistic microstructures obtained by microtomographycitations
- 2015Phase field modeling of complex microcracking in voxel-based models of cementitious materials
- 2015A phase field method to simulate crack nucleation and propagation in strongly heterogeneous materials from direct imaging of their microstructurecitations
- 2014Modeling of damage in unidirectional ceramic matrix composites and multi-scale experimental validation on third generation SiC/SiC minicompositescitations
- 2011In-situ X-ray microtomography characterization of damage in SiC/SiC minicompositescitations
- 2010X-ray tomographic characterization of the macroscopic porosity of chemical vapor infiltration SIC/SIC composites: effects on the elastic behaviorcitations
- 2010Multiscale approach of mechanical behaviour of SiC/SiC composites : elastic behaviour at the scale of the tow
- 2010Experimental characterisation of damage in SiC/SiC minicompositescitations
- 2009Multiscale approach of mechanical behaviour of SiC/SiC composites : elastic behaviour at the scale of the tow
- 2009X-ray tomographic characterization of the macroscopic porosity of CVI SiC/SiC composites - Effects on the elastic behaviorcitations
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article
DVC-based image subtraction to detect microcracking in lightweight concrete
Abstract
This paper presents an image subtraction technique based on Digital Volume Correlation (DVC) to detect and extract the complex network of microcracks that progressively developed in a lightweight concrete sample submitted in situ to uniaxial compression and imaged by X-ray computed tomography (XRCT). From local DVC measurements, performed only on positions with sufficient image contrast, the mechanical transformation is estimated at all voxels within the whole sample using an adjusted interpolation procedure that computes an affine approximation of the local transformation. The deformed image (containing cracks) is thus transformed back to the same frame as the reference image (without cracks) to compute the difference between both images, taking into account possible brightness and contrast adjustments. The resulting subtracted image reveals the path of cracks which is clearly visible without the underlying heterogeneous microstructure of the concrete. The detection accuracy is here estimated to one-tenth of a voxel, allowing early age cracks to be detected while they would barely have been noticed on the XRCT images. Segmentation of the crack network is also made much easier. To overcome a low signal-to-noise ratio for the tiniest cracks, a Hessian based filter is used to extract the complex crack network. The cracks can be directly located in the microstructure segmented in the reference image and compared for all loading steps to characterise their initiation and propagation.