Practical mathematical optimization JA Snyman, DN Wilke Springer Science+ Business Media, Incorporated, 2005 | 1630 | 2005 |
Deep digital twins for detection, diagnostics and prognostics W Booyse, DN Wilke, S Heyns Mechanical Systems and Signal Processing 140, 106612, 2020 | 198 | 2020 |
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 | 136 | 2014 |
Blaze-DEMGPU: Modular high performance DEM framework for the GPU architecture N Govender, DN Wilke, S Kok SoftwareX 5, 62-66, 2016 | 105 | 2016 |
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 | 104 | 2018 |
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 | 99 | 2015 |
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 | 98 | 2015 |
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 | 93 | 2007 |
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 | 73 | 2018 |
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 | 60 | 2007 |
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 | 55 | 2018 |
Analysis of the particle swarm optimization algorithm DN Wilke University of Pretoria, 2007 | 54 | 2007 |
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 | 45 | 2019 |
New gradient-based trajectory and approximation methods JA Snyman Practical mathematical optimization: an introduction to basic optimization …, 2005 | 45 | 2005 |
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 | 39 | 2018 |
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 | 34 | 2020 |
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 | 31 | 2006 |
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 | 30 | 2019 |
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 | 28 | 2018 |
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 | 26 | 2020 |