![3 d tessellation 3 d tessellation](https://i.pinimg.com/originals/90/15/18/9015185c4ecbd5cbc95ea52951e3f723.png)
Zangeneh, N., Eberhardt, E., Bustin, R.M.: Investigation of the influence of natural fractures and in situ stress on hydraulic fracture propagation using a distinct-element approach. Rock Mechanics/Geomechanics Symposium (2018) Sinha, S., Walton, G.: Application of micromechanical modeling to prediction of in-situ rock behavior. Quey, R., Dawson, P.R., Barbe, F.: Large-scale 3D random polycrystals for the finite element method: Generation, meshing and remeshing. Potyondy, D.O., Cundall, P.A.: A bonded-particle model for rock. Monteiro Azevedo, N., Candeias, M., Gouveia, F.: A rigid particle model for rock fracture following the voronoi tessellation of the grain structure: formulation and validation. Lisjak, A., Grasselli, G.: A review of discrete modeling techniques for fracturing processes in discontinuous rock masses. Li, J., Konietzky, H., Frühwirt, T.: Voronoi-based DEM simulation approach for sandstone considering grain structure and pore size. Kazerani, T., Zhao, J.: Micromechanical parameters in bonded particle method for modelling of brittle material failure. Ji, X., Zhou, W., Chen, Y., Ma, G.: Generation of the polycrystalline rock microstructure by a novel Voronoi grain-based model with particle growth.
3 D TESSELLATION CODE
Itasca.: 3DEC 3 Dimensional Distinct Element Code - User’s Guide version 5.0. Insana, A., Barla, M., Elmo, D.: Multi scale numerical modelling related to hydrofracking for deep geothermal energy exploitation. Insana, A., Barla, M.: A voronoi-based algorithm for hydraulic fracturing simulation in deep geothermal wells. Insana, A.: Modeling hydrofracking for deep geothermal energy exploitation by Voronoi tessellation. A Computer-Assisted Approach, Elesvier, Amsterdam (2007) Guo, B., Lyons, W.C., Ghalambor, A.: Petroleum Production Engineering. Gui, Y.L., Zhao, Z.Y., Ji, J., et al.: The grain effect of intact rock modelling using discrete element method with voronoi grains. In: 50th US Rock Mechanics/Geomechanics Symposium 2016 (2016) Ghazvinian, E., Kalenchuk, K.: Application of 3D random voronoi tessellated models for simulation of hydraulic fracture propagation within the distinct element formulation. Ghazvinian, E., Diederichs, M.S., Quey, R.: 3D random Voronoi grain-based models for simulation of brittle rock damage and fabric-guided micro-fracturing. Gao, F.Q., Stead, D.: The application of a modified Voronoi logic to brittle fracture modelling at the laboratory and field scale. In: 49th US Rock Mechanics/Geomechanics Symposium 2015 (2015) Generalizing waterbomb tessellations to fit target 3D parametric surfaces.
3 D TESSELLATION CRACK
Rock Mechanics/Geomechanics Symposium (2018)įarahmand, K., Diederichs, M.S.: A calibrated synthetic rock mass (SRM) model for simulating crack growth in granitic rock considering grain scale heterogeneity of polycrystalline rock. Waterbomb tessellation, which is one type of traditional origami consisting. 9, 217–229 (2009)ĭonati, D., Stead, D., Elmo, D., et al.: Experience gained in modelling brittle fracture in rock. 12(6) (2012)Ĭamusso, M., Barla, M.: Microparameters calibration for loose and cemented soil when using particle methods. 320 (2010)īarla, M., Beer, G.: special issue on advances in modeling rock engineering problems. We have tested the proposed 3D reconstruction method on time-lapse CLSM image stacks of the Arabidopsis Shoot Apical Meristem (SAM) and have shown that the AQVT based reconstruction method can correctly estimate the 3D shapes of a large number of SAM cells.Barla, M.: Elementi di Meccanica e Ingegneria delle Rocce. The proposed method, named as the `Adaptive Quadratic Voronoi Tessellation' (AQVT), is capable of handling both the sparsity problem and the non-uniformity in cell shapes by estimating the tessellation parameters for each cell from the sparse data-points on its boundaries. In the present work, we have proposed an anisotropic Voronoi tessellation based 3D reconstruction framework for a tightly packed multilayer tissue with extreme z-sparsity (2-4 slices/cell) and wide range of cell shapes and sizes. But, in case of Live Cell Imaging of an actively developing tissue, large depth resolution is not feasible in order to avoid damage to cells from prolonged exposure to laser radiation. However, the current methods of 3D reconstruction using CLSM imaging require large number of image slices per cell.
![3 d tessellation 3 d tessellation](http://www.randelshofer.ch/rubik/virtual_cubes/rubik/picture_cubes/images/TurtleCube_2048.gif)
The need for quantification of cell growth patterns in a multilayer, multi-cellular tissue necessitates the development of a 3D reconstruction technique that can estimate 3D shapes and sizes of individual cells from Confocal Microscopy (CLSM) image slices.