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3D experimental investigation of the hygro-mechanical behaviour of wood at cellular and sub-cellular scale: detection of local deformations
Patera, A., Derome, D., den Bulcke, J. V., & Carmeliet, J. (2013). 3D experimental investigation of the hygro-mechanical behaviour of wood at cellular and sub-cellular scale: detection of local deformations. In Tomography of materials and structures (pp. 55-58).
3D virtual pome fruit tissue generation based on cell growth modeling
Abera, M. K., Verboven, P., Herremans, E., Defraeye, T., Fanta, S. W., Ho, Q. T., … Nicolai, B. M. (2014). 3D virtual pome fruit tissue generation based on cell growth modeling. Food and Bioprocess Technology, 7(2), 542-555. https://doi.org/10.1007/s11947-013-1127-3
A 3D contour based geometrical model generator for complex-shaped horticultural products
Rogge, S., Defraeye, T., Herremans, E., Verboven, P., & Nicolaï, B. M. (2015). A 3D contour based geometrical model generator for complex-shaped horticultural products. Journal of Food Engineering, 157, 24-32. https://doi.org/10.1016/j.jfoodeng.2015.02.006
A cluster-based pore network model of drying with corner liquid films, with application to a macroporous material
Lal, S., Prat, M., Plamondon, M., Poulikakos, L., Partl, M. N., Derome, D., & Carmeliet, J. (2019). A cluster-based pore network model of drying with corner liquid films, with application to a macroporous material. International Journal of Heat and Mass Transfer, 140, 620-633. https://doi.org/10.1016/j.ijheatmasstransfer.2019.06.016
A comparative molecular dynamics study of crystalline, paracrystalline and amorphous states of cellulose
Kulasinski, K., Keten, S., Churakov, S. V., Derome, D., & Carmeliet, J. (2014). A comparative molecular dynamics study of crystalline, paracrystalline and amorphous states of cellulose. Cellulose, 21(3), 1103-1116. https://doi.org/10.1007/s10570-014-0213-7
A comparison of DOE-2.1E daylighting and HVAC system interactions to actual building performance
Loutzenhiser, P. G., Maxwell, G. M., & Kummert, M. (2006). A comparison of DOE-2.1E daylighting and HVAC system interactions to actual building performance. In ASHRAE transactions: Vol. 112 part 2. 2006 annual meeting of the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) (pp. 409-417). ASHRAE.
A comprehensive and consistent tomographic dataset to document the swelling of softwood tissues
Patera, A., Derome, D., Jefimovs, K., & Carmeliet, J. (2013). A comprehensive and consistent tomographic dataset to document the swelling of softwood tissues. In Tomography of materials and structures (pp. 289-292).
A continuous-discontinuous approach to simulate heat transfer in fractured media
Moonen, P., Sluys, L. J., & Carmeliet, J. (2011). A continuous-discontinuous approach to simulate heat transfer in fractured media. Transport in Porous Media, 89(3), 399-419. https://doi.org/10.1007/s11242-011-9777-y
A continuous–discontinuous approach to simulate fracture processes in quasi-brittle materials
Moonen, P., Carmeliet, J., & Sluys, L. J. (2008). A continuous–discontinuous approach to simulate fracture processes in quasi-brittle materials. Philosophical Magazine, 88(28-29), 3281-3298. https://doi.org/10.1080/14786430802566398
A continuous–discontinuous approach to simulate physical degradation processes in porous media
Moonen, P., Sluys, L. J., & Carmeliet, J. (2010). A continuous–discontinuous approach to simulate physical degradation processes in porous media. International Journal for Numerical Methods in Engineering, 84(9), 1009-1037. https://doi.org/10.1002/nme.2924
A coupled transport-crystallization FE model for porous media
Derluyn, H., Espinosa-Marzal, R. M., Moonen, P., & Carmeliet, J. (2010). A coupled transport-crystallization FE model for porous media. In N. Bicanic, H. Mang, & G. Meschke (Eds.), Computational modelling of concrete structures (pp. 471-479). CRC Press.
A demonstration of the effectiveness of inter-program comparative testing for diagnosing and repairing solution and coding errors in building simulation programs
Beausoleil-Morrison, I., Griffith, B., Vesanen, T., & Weber, A. (2009). A demonstration of the effectiveness of inter-program comparative testing for diagnosing and repairing solution and coding errors in building simulation programs. Journal of Building Performance Simulation, 2(1), 63-73. https://doi.org/10.1080/19401490802559409
A film flow model for analysing gravity-driven, thin wavy fluid films
Martin, M., Defraeye, T., Derome, D., & Carmeliet, J. (2015). A film flow model for analysing gravity-driven, thin wavy fluid films. International Journal of Multiphase Flow, 73, 207-216. https://doi.org/10.1016/j.ijmultiphaseflow.2015.03.010
A holarchic approach for multi-scale distributed energy system optimisation
Marquant, J. F., Evins, R., Bollinger, L. A., & Carmeliet, J. (2017). A holarchic approach for multi-scale distributed energy system optimisation. Applied Energy, 208, 935-953. https://doi.org/10.1016/j.apenergy.2017.09.057
A hygrothermo-mechanical model for wood: part A. Poroelastic formulation and validation with neutron imaging. COST action FP0904 2010-2014: thermo-hydro-mechanical wood behavior and processing
Abbasion, S., Carmeliet, J., Gilani, M. S., Vontobel, P., & Derome, D. (2015). A hygrothermo-mechanical model for wood: part A. Poroelastic formulation and validation with neutron imaging. COST action FP0904 2010-2014: thermo-hydro-mechanical wood behavior and processing. Holzforschung, 69(7), 825-837. https://doi.org/10.1515/hf-2014-0189
A hygrothermo-mechanical model for wood: part B. Parametric studies and application to wood welding
Abbasion, S., Moonen, P., Carmeliet, J., & Derome, D. (2015). A hygrothermo-mechanical model for wood: part B. Parametric studies and application to wood welding. Holzforschung, 69(7), 839-849. https://doi.org/10.1515/hf-2014-0190
A lightweight convolutional neural network to reconstruct deformation in BOS recordings
Mucignat, C., Manickathan, L., Shah, J., Rösgen, T., & Lunati, I. (2023). A lightweight convolutional neural network to reconstruct deformation in BOS recordings. Experiments in Fluids, 64(4), 72 (16 pp.). https://doi.org/10.1007/s00348-023-03618-7
A lightweight neural network designed for fluid velocimetry
Manickathan, L., Mucignat, C., & Lunati, I. (2023). A lightweight neural network designed for fluid velocimetry. Experiments in Fluids, 64(10), 161 (17 pp.). https://doi.org/10.1007/s00348-023-03695-8
A machine learning approach for computation of cardiovascular intrinsic frequencies
Alavi, R., Wang, Q., Gorji, H., & Pahlevan, N. M. (2023). A machine learning approach for computation of cardiovascular intrinsic frequencies. PLoS One, 18(10), e0285228 (20 pp.). https://doi.org/10.1371/journal.pone.0285228
A methodology to assess the influence of local wind conditions and building orientation on the convective heat transfer at building surfaces
Defraeye, T., & Carmeliet, J. (2010). A methodology to assess the influence of local wind conditions and building orientation on the convective heat transfer at building surfaces. Environmental Modelling and Software, 25(12), 1813-1824. https://doi.org/10.1016/j.envsoft.2010.06.002
 

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