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Daniel N. Wilke
Daniel N. Wilke
Professor in Mechanical Engineering, University of Pretoria
Verified email at up.ac.za
Title
Cited by
Cited by
Year
Practical mathematical optimization
JA Snyman, DN Wilke
Springer Science+ Business Media, Incorporated, 2005
16342005
Deep digital twins for detection, diagnostics and prognostics
W Booyse, DN Wilke, S Heyns
Mechanical Systems and Signal Processing 140, 106612, 2020
2022020
Development of a convex polyhedral discrete element simulation framework for NVIDIA Kepler based GPUs
N Govender, DN Wilke, S Kok, R Els
Journal of Computational and Applied Mathematics 270, 386-400, 2014
1362014
Blaze-DEMGPU: Modular high performance DEM framework for the GPU architecture
N Govender, DN Wilke, S Kok
SoftwareX 5, 62-66, 2016
1062016
A study of shape non-uniformity and poly-dispersity in hopper discharge of spherical and polyhedral particle systems using the Blaze-DEM GPU code
N Govender, DN Wilke, P Pizette, NE Abriak
Applied Mathematics and Computation 319, 318-336, 2018
1052018
Collision detection of convex polyhedra on the NVIDIA GPU architecture for the discrete element method
N Govender, DN Wilke, S Kok
Applied Mathematics and Computation 267, 810-829, 2015
1002015
Discrete element simulation of mill charge in 3D using the BLAZE-DEM GPU framework
N Govender, RK Rajamani, S Kok, DN Wilke
Minerals engineering 79, 152-168, 2015
1002015
Comparison of linear and classical velocity update rules in particle swarm optimization: notes on diversity
DN Wilke, S Kok, AA Groenwold
International Journal for Numerical Methods in Engineering 70 (8), 962-984, 2007
932007
Large-scale GPU based DEM modeling of mixing using irregularly shaped particles
N Govender, DN Wilke, CY Wu, R Rajamani, J Khinast, BJ Glasser
Advanced Powder Technology 29 (10), 2476-2490, 2018
752018
Comparison of linear and classical velocity update rules in particle swarm optimization: Notes on scale and frame invariance
DN Wilke, S Kok, AA Groenwold
International journal for numerical methods in engineering 70 (8), 985-1008, 2007
602007
Hopper flow of irregularly shaped particles (non-convex polyhedra): GPU-based DEM simulation and experimental validation
N Govender, DN Wilke, CY Wu, J Khinast, P Pizette, W Xu
Chemical Engineering Science 188, 34-51, 2018
552018
Analysis of the particle swarm optimization algorithm
DN Wilke
University of Pretoria, 2007
542007
A numerical investigation into the effect of angular particle shape on blast furnace burden topography and percolation using a GPU solved discrete element model
N Govender, DN Wilke, CY Wu, U Tuzun, H Kureck
Chemical Engineering Science 204, 9-26, 2019
452019
New gradient-based trajectory and approximation methods
JA Snyman
Practical mathematical optimization: an introduction to basic optimization …, 2005
452005
Effect of particle shape in grinding mills using a GPU based DEM code
N Govender, R Rajamani, DN Wilke, CY Wu, J Khinast, BJ Glasser
Minerals engineering 129, 71-84, 2018
392018
The effect of particle shape on the packed bed effective thermal conductivity based on DEM with polyhedral particles on the GPU
N Govender, PW Cleary, M Kiani-Oshtorjani, DN Wilke, CY Wu, H Kureck
Chemical engineering science 219, 115584, 2020
342020
A quadratically convergent unstructured remeshing strategy for shape optimization
DN Wilke, S Kok, AA Groenwold
International journal for numerical methods in engineering 65 (1), 1-17, 2006
312006
Estimation of rail properties using semi-analytical finite element models and guided wave ultrasound measurements
II Setshedi, PW Loveday, CS Long, DN Wilke
Ultrasonics 96, 240-252, 2019
302019
Development of an optimal piezoelectric transducer to excite guided waves in a rail web
DA Ramatlo, DN Wilke, PW Loveday
NDT & E International 95, 72-81, 2018
282018
A modelling framework for simulation of ultrasonic guided wave-based inspection of welded rail tracks
DA Ramatlo, CS Long, PW Loveday, DN Wilke
Ultrasonics 108, 106215, 2020
262020
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