John P. Morrissey
John P. Morrissey
Home
Posts
Projects
Talks
Publications
Posters
Contact
Light
Dark
Automatic
2
A comparative assessment and unification of bond models in DEM simulations
Bonded contact models have been increasingly used in the discrete element method (DEM) to study cemented and sintered particulate materials in recent years. Several popular DEM bond models have been proposed in the literature; thus it is beneficial to assess the similarities and differences between the different bond models before they are used in simulations. This paper identifies and discusses two fundamental types of bond models: the Spring Bond Model where two bonded particles are joined by a set of uniform elastic springs on the bond’s cross-section, and the Beam Bond Model in which a beam is used to connect the centres of two particles.
Xizhong Chen
,
Di Peng
,
John P. Morrissey
,
Jin Y. Ooi
Cite
PDF
Project
DOI
Trackbed settlement and associated ballast degradation due to repeated train moving loads
With increasing train speed and wheel axle load, severe vibrations can occur in a ballasted trackbed, thereby accelerating the degradation of the ballast particles and ultimately causing excessive settlement. To gain insights into the long-term trackbed behavior and the ballast degradation evolution, a full-scale ballasted track experiment with eight sleepers was designed and tested on a validated physical model test platform (ZJU-iHSRT).
Qiusheng Gu
,
Chuang Zhao
,
Xuecheng Bian
,
John P. Morrissey
,
Jin Y. Ooi
Cite
PDF
Project
DOI
Conceptualisation of an Efficient Particle-Based Simulation of a Twin-Screw Granulator
Discrete Element Method (DEM) simulations have the potential to provide particle-scale understanding of twin-screw granulators. This is difficult to obtain experimentally because of the closed, tightly confined geometry. An essential prerequisite for successful DEM modelling of a twin-screw granulator is making the simulations tractable, i.e., reducing the significant computational cost while retaining the key physics.
John P. Morrissey
,
Kevin J. Hanley
,
Jin Y. Ooi
Cite
PDF
Dataset
Project
DOI
Model driven design for twin screw granulation using mechanistic-based population balance model
This paper presents a generic framework of Model Driven Design (MDD) with its application for a twin screw granulation process using a mechanistic-based population balance model (PBM).
Li Ge Wang
,
John P. Morrissey
,
Dana Barrasso
,
David Slade
,
Sean Clifford
,
Gavin Reynolds
,
Jin Y. Ooi
,
James D. Litster
Cite
PDF
Project
DOI
Post-processing and visualization of large-scale DEM simulation data with the open-source VELaSSCo platform
VELaSSCo (Visualization for Extremely Large-Scale Scientific Computing) is a platform developed to provide new visual analysis methods for large-scale simulations serving the petabyte era. The platform adopts Big Data tools/architectures to enable in-situ processing for analytics of engineering and scientific data and hardware-accelerated interactive visualization.
John P. Morrissey
,
Prabhat Totoo
,
Kevin J. Hanley
,
Stefanos-Aldo Papanicolopulos
,
Jin Y. Ooi
,
Iván Cores Gonzalez
,
Bruno Raffin
,
Seyedmorteza Mostajabodaveh
,
Thomas Gierlinger
Cite
PDF
Project
DOI
Benchmarking large scale GPR experiments on railway ballast
The overall aim of this project was to relate ground penetrating radar (GPR) to a ballast fouling index (FI). Laboratory research aimed at characterising the electromagnetic properties has enabled researchers worldwide to determine ballast thickness using impulse ground penetrating radar (GPR) - based upon derived values of the relative electrical permittivity or dielectric constant.
R. De Bold
,
G. O' Connor
,
John P. Morrissey
,
M.C. Force
Cite
PDF
DOI
Micromechanical analysis of cohesive granular materials using discrete element method with an adhesive elasto-plastic contact model
An adhesive elasto-plastic contact model for the discrete element method with three dimensional non-spherical particles is proposed and investigated to achieve quantitative prediction of cohesive powder flowability.
S. C. Thakur
,
John P. Morrissey
,
Jin Sun
,
Jian-Fei Chen
,
Jin Y. Ooi
Cite
PDF
Project
DOI
Cite
×