Computed-tomography based modeling and simulation of moisture diffusion and induced swelling in textile composite materials

The present work focuses on computed-tomography based modeling and simulation of moisture diffusion and induced swelling in carbon fiber reinforced polymer (CFRP) materials. The meso-scale models are constructed using CT image-based voxel-mesh approach, Fickian diffusivity model is used for moisture...

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Bibliographic Details
Published in:International journal of solids and structures 2018-12, Vol.154, p.88-96
Main Authors: Sinchuk, Y., Pannier, Y., Gueguen, M., Tandiang, D., Gigliotti, M.
Format: Article
Language:English
Subjects:
Acoustics
Automatic
Biomechanics
Carbon fiber reinforced plastics
Chemical Sciences
Composite materials
Computation
Computed tomography
Computer simulation
Diffusion
Diffusivity
Electric power
Electromagnetism
Engineering Sciences
Fiber reinforced polymers
Finite element method
Fluid mechanics
Material chemistry
Material properties
Materials and structures in mechanics
Mathematical models
Mathematical Physics
Mechanics
Mesoscale phenomena
Moisture
Physics
Polymers
Quantum Physics
Reactive fluid environment
Scale models
Sorption
Statistical analysis
Statistical methods
Swelling
Textile composites
Textiles
Thermics
Tomography
Vibrations
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Summary:The present work focuses on computed-tomography based modeling and simulation of moisture diffusion and induced swelling in carbon fiber reinforced polymer (CFRP) materials. The meso-scale models are constructed using CT image-based voxel-mesh approach, Fickian diffusivity model is used for moisture diffusivity simulation. Various diffusivity processes are investigated: prediction of moisture diffusion path and local moisture concentration inside a material samples during a sorption test, comparing total mass uptake for real microstructure and equivalent material models, sorption behavior of cracked samples with different crack volume fraction, hygro-thermal resin swelling simulation. Besides, voxel-mesh model was successfully used for statistical analysis of the diffusion material properties. The discussion of the simulation result highlights both physical material behavior and efficiency of the applied numerical techniques.
ISSN:0020-7683
1879-2146
DOI:10.1016/j.ijsolstr.2017.05.045