ORCID Profile
0000-0002-1805-4045
Current Organisation
Curtin University
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In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Interdisciplinary Engineering | Simulation and Modelling | Engineering Practice | Infrastructure Engineering and Asset Management
Productivity (excl. Public Sector) | Mining Machinery and Equipment | Expanding Knowledge in Engineering |
Publisher: Elsevier BV
Date: 2010
Publisher: Elsevier BV
Date: 09-2008
Publisher: Elsevier BV
Date: 2011
Publisher: Elsevier BV
Date: 04-2021
Publisher: Elsevier BV
Date: 2012
Publisher: Elsevier BV
Date: 2011
Publisher: Elsevier BV
Date: 2011
Publisher: Elsevier BV
Date: 12-2015
Publisher: Wiley
Date: 05-10-2011
DOI: 10.1002/NME.3262
Publisher: Elsevier BV
Date: 02-2010
Publisher: Elsevier BV
Date: 2014
Publisher: Elsevier BV
Date: 2015
Publisher: Elsevier BV
Date: 2014
Publisher: Elsevier BV
Date: 06-2017
Publisher: The Electrochemical Society
Date: 06-2023
Abstract: This work applies machine learning to holistically interrogate the influence of metallurgical factors, such as chemical composition, heat treatment, and mechanical properties, on the stress corrosion cracking resistance of corrosion-resistant alloys. Particularly, we explored the effect of nickel in reducing the stress corrosion cracking susceptibility in boiling magnesium chloride, arguably a controversial topic since Copson’s 1959 seminal publication. This paper offers insights into the synergies of nickel with other alloying elements that ultimately impact the resistance to stress corrosion cracking. Furthermore, a more detailed description of statistical patterns in the so-called Copson curve is provided.
Publisher: SAGE Publications
Date: 10-2013
Abstract: We extend the use of cantilever beams as flow sensors for small aircraft. As such, we propose a novel method to measure the airspeed and the angle of attack at which the air travels across a small flying vehicle. We measure beam deflections and extract information about the surrounding flow. Thus, we couple a nonlinear beam model with a potential flow simulator through a fluid–structure interaction scheme. We use this numerical approach to generate calibration curves that exhibit the trend for the variations of the limit cycle oscillations litudes of flexural and torsional vibrations with the air speed and the angle of attack, respectively.
Publisher: Elsevier BV
Date: 2014
Publisher: Elsevier BV
Date: 08-2008
Publisher: American Society of Civil Engineers
Date: 19-05-2011
Publisher: Elsevier BV
Date: 09-2012
Publisher: Elsevier BV
Date: 2014
Publisher: Elsevier BV
Date: 03-2012
Publisher: Elsevier BV
Date: 12-2013
Publisher: Elsevier BV
Date: 02-2015
Publisher: ASMEDC
Date: 2010
Abstract: The main objective of this work is to develop computational tools to support the design of a catheter-based local drug delivery system that uses nanoparticles as drug carriers in order to treat vulnerable plaques and diffuse atherosclerotic disease.
Publisher: Elsevier BV
Date: 06-2014
Publisher: Elsevier BV
Date: 03-2016
Publisher: Cambridge University Press (CUP)
Date: 23-05-2016
DOI: 10.1017/JFM.2016.277
Abstract: We develop the energy budget equation of the coupled Navier–Stokes–Cahn–Hilliard (NSCH) system. We use the NSCH equations to model the dynamics of liquid droplets in a liquid continuum. Buoyancy effects are accounted for through the Boussinesq assumption. We physically interpret each quantity involved in the energy exchange to gain further insight into the model. Highly resolved simulations involving density-driven flows and the merging of droplets allow us to analyse these energy budgets. In particular, we focus on the energy exchanges when droplets merge, and describe flow features relevant to this phenomenon. By comparing our numerical simulations to analytical predictions and experimental results available in the literature, we conclude that modelling droplet dynamics within the framework of NSCH equations is a sensible approach worthy of further research.
Publisher: Elsevier BV
Date: 2018
Publisher: Elsevier BV
Date: 12-2007
Publisher: Wiley
Date: 17-09-2014
DOI: 10.1002/NME.4769
Publisher: Springer Science and Business Media LLC
Date: 06-08-2008
Publisher: IEEE
Date: 05-2014
Publisher: Society for Industrial & Applied Mathematics (SIAM)
Date: 2016
DOI: 10.1137/140988826
Publisher: Elsevier BV
Date: 2013
Publisher: Elsevier BV
Date: 05-2010
Publisher: Springer Nature Switzerland
Date: 13-12-2022
Publisher: SPE
Date: 09-10-2011
DOI: 10.2118/148282-MS
Abstract: The Gibbs-NVT ensemble Monte Carlo method is used to simulate the liquid-vapor coexistence diagram and the simulation results of methane agree well with the experimental data in a wide range of temperatures. For systems with two components, the Gibbs-NPT ensemble Monte Carlo method is employed in the simulation while the mole fraction of each component in each phase is modeled as a Leonard-Jones fluid. As the results of Monte Carlo simulations usually contain huge statistical error, the blocking method is used to estimate the variance of the simulation results. Additionally, in order to improve the simulation efficiency, the step sizes of different trial moves is adjusted automatically so that their acceptance probabilities can approach to the preset values.
Publisher: Oxford University Press (OUP)
Date: 27-04-2017
DOI: 10.1093/BRAIN/AWX095
Publisher: Elsevier BV
Date: 07-2011
Publisher: Elsevier BV
Date: 11-2019
Publisher: Springer International Publishing
Date: 2021
Publisher: Elsevier BV
Date: 04-2016
Publisher: Elsevier BV
Date: 04-2017
Publisher: Elsevier BV
Date: 11-2018
Publisher: Elsevier BV
Date: 2015
Publisher: Elsevier BV
Date: 06-2008
Publisher: Civil-Comp Press
Date: 2012
DOI: 10.4203/CCP.100.133
Publisher: Elsevier BV
Date: 09-2011
Publisher: Elsevier BV
Date: 07-2020
Publisher: Society for Industrial & Applied Mathematics (SIAM)
Date: 2013
DOI: 10.1137/120881038
Publisher: Elsevier BV
Date: 08-2016
Publisher: Wiley
Date: 23-09-2015
Publisher: Elsevier BV
Date: 2017
Publisher: Elsevier BV
Date: 2014
DOI: 10.1063/2.1406203
Publisher: Wiley
Date: 25-04-2020
Publisher: Springer International Publishing
Date: 2022
Publisher: Elsevier BV
Date: 09-2009
Publisher: Elsevier BV
Date: 05-2015
Publisher: Hindawi Limited
Date: 2015
DOI: 10.1155/2015/303024
Abstract: We construct quasi-optimal elimination trees for 2D finite element meshes with singularities. These trees minimize the complexity of the solution of the discrete system. The computational cost estimates of the elimination process model the execution of the multifrontal algorithms in serial and in parallel shared-memory executions. Since the meshes considered are a subspace of all possible mesh partitions, we call these minimizers quasi-optimal. We minimize the cost functionals using dynamic programming. Finding these minimizers is more computationally expensive than solving the original algebraic system. Nevertheless, from the insights provided by the analysis of the dynamic programming minima, we propose a heuristic construction of the elimination trees that has cost O N e log N e , where N e is the number of elements in the mesh. We show that this heuristic ordering has similar computational cost to the quasi-optimal elimination trees found with dynamic programming and outperforms state-of-the-art alternatives in our numerical experiments.
Publisher: SPE
Date: 08-10-2013
DOI: 10.2118/167295-MS
Abstract: In this paper, we apply mode decomposition and interpolatory projection methods to speed up simulations of two-phase flows in highly heterogeneous porous media. We propose intrusive and non-intrusive model reduction approaches that enable a significant reduction in the dimension of the flow problem size while capturing the behavior of the fully-resolved solutions. In one approach, we employ the dynamic mode decomposition (DMD) and the discrete empirical interpolation method (DEIM). This approach does not require any modification of the reservoir simulation code but rather postprocesses a set of global snapshots to identify the dynamically-relevant structures associated with the flow behavior. In a second approach, we project the governing equations of the velocity and the pressure fields on the subspace spanned by their proper orthogonal decomposition (POD) modes. Furthermore, we use DEIM to approximate the mobility related term in the global system assembly and then reduce the online computational cost and make it independent of the fine grid. To show the effectiveness and usefulness of the aforementioned approaches, we consider the SPE 10 benchmark permeability field and present a variety of numerical ex les of two-phase flow and transport. The proposed model reduction methods can be efficiently used when performing uncertainty quantification or optimization studies and history matching.
Publisher: Royal Society of Chemistry (RSC)
Date: 2016
DOI: 10.1039/C6PY00215C
Abstract: For the first time, self-assembly and non-solvent induced phase separation was applied to polysulfone-based linear block copolymers, reaching mechanical stability much higher than other block copolymer membranes used in this method, which were mainly based on polystyrene blocks.
Publisher: Walter de Gruyter GmbH
Date: 27-06-2017
Abstract: We consider a class of two- and three-dimensional h-refined meshes generated by an adaptive finite element method. We introduce an element partition tree, which controls the execution of the multi-frontal solver algorithm over these refined grids. We propose and study algorithms with polynomial computational cost for the optimization of these element partition trees. The trees provide an ordering for the elimination of unknowns. The algorithms automatically optimize the element partition trees using extensions of dynamic programming. The construction of the trees by the dynamic programming approach is expensive. These generated trees cannot be used in practice, but rather utilized as a learning tool to propose fast heuristic algorithms. In this first part of our paper we focus on the dynamic programming approach, and draw a sketch of the heuristic algorithm. The second part will be devoted to a more detailed analysis of the heuristic algorithm extended for the case of hp-adaptive grids.
Publisher: Elsevier BV
Date: 06-2020
Publisher: Elsevier BV
Date: 11-2015
Publisher: Elsevier BV
Date: 2012
Publisher: Springer Netherlands
Date: 2010
Publisher: Elsevier BV
Date: 2013
Publisher: Springer Netherlands
Date: 2010
Publisher: Elsevier BV
Date: 04-2013
Publisher: Elsevier BV
Date: 09-2019
Publisher: International Petroleum Technology Conference
Date: 2014
DOI: 10.2523/17457-MS
Publisher: Elsevier BV
Date: 06-2016
Publisher: Elsevier BV
Date: 04-2020
Publisher: Elsevier BV
Date: 2017
Publisher: Elsevier BV
Date: 10-2017
Publisher: Elsevier BV
Date: 11-2015
Publisher: Elsevier BV
Date: 2013
Publisher: Elsevier BV
Date: 05-2010
Publisher: Royal Society of Chemistry (RSC)
Date: 2023
DOI: 10.1039/D2CE01426B
Abstract: This research employs two computational methods to simulate shear deformation of molecular crystals it calculates slip barriers, finds rotational twinning, and predicts polymorphic transitions.
Publisher: Springer Science and Business Media LLC
Date: 26-08-2008
Publisher: Elsevier BV
Date: 2013
Publisher: Elsevier BV
Date: 2013
Publisher: Elsevier BV
Date: 04-2017
Publisher: Elsevier BV
Date: 04-2019
Publisher: Elsevier BV
Date: 2019
Publisher: Elsevier BV
Date: 10-2017
Publisher: Elsevier BV
Date: 05-2013
Publisher: American Geophysical Union (AGU)
Date: 05-2013
DOI: 10.1002/JGRB.50148
Publisher: Elsevier BV
Date: 07-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2008
Publisher: Society of Petroleum Engineers (SPE)
Date: 30-06-2016
DOI: 10.2118/173271-PA
Abstract: We present a global/local model reduction for fast multiscale reservoir simulations in highly heterogeneous porous media. Our approach identifies a low-dimensional structure in the solution space. We introduce an auxiliary variable (the velocity field) in our model reduction that achieves a high compression of the model. This compression is achieved because the velocity field is conservative for any low-order reduced model in our framework, whereas a typical global model reduction that is based on proper-orthogonal-decomposition (POD) Galerkin projection cannot guarantee local mass conservation. The lack of mass conservation can be observed in numerical simulations that use finite-volume-based approaches. The discrete empirical interpolation method (DEIM) approximates fine-grid nonlinear functions in Newton iterations. This approach delivers an online computational cost that is independent of the fine-grid dimension. POD snapshots are inexpensively computed with local model-reduction techniques that are based on the generalized multiscale finite-element method (GMsFEM) that provides (1) a hierarchical approximation of the snapshot vectors, (2) adaptive computations with coarse grids, and (3) inexpensive global POD operations in small dimensional spaces on a coarse grid. By balancing the errors of the global and local reduced-order models, our new methodology provides an error bound in simulations. Our numerical results, by use of a two-phase immiscible flow, show a substantial speedup, and we compare our results with the standard POD-DEIM in a finite-volume setup.
Publisher: Elsevier BV
Date: 2013
Publisher: Elsevier BV
Date: 05-2013
Publisher: Elsevier BV
Date: 04-2008
Publisher: Elsevier BV
Date: 12-2014
Publisher: Elsevier BV
Date: 2011
Publisher: Elsevier BV
Date: 2017
Publisher: Wiley
Date: 21-09-2015
Abstract: The self-assembly of block copolymers is an emerging strategy to produce isoporous ultrafiltration membranes. However, thus far, it has not been possible to bridge the gap from ultra- to nanofiltration and decrease the pore size of self-assembled block copolymer membranes to below 5 nm without post-treatment. It is now reported that the self-assembly of blends of two chemically interacting copolymers can lead to highly porous membranes with pore diameters as small as 1.5 nm. The membrane containing an ultraporous, 60 nm thin separation layer can fully reject solutes with molecular weights of 600 g mol(-1) in aqueous solutions with a water flux that is more than one order of magnitude higher than the permeance of commercial nanofiltration membranes. Simulations of the membrane formation process by dissipative particle dynamics (DPD) were used to explain the dramatic observed pore size reduction combined with an increase in water flux.
Publisher: Elsevier BV
Date: 06-2018
Publisher: Springer Science and Business Media LLC
Date: 19-06-2007
Publisher: Global Science Press
Date: 08-2014
DOI: 10.4208/CICP.110613.280214A
Abstract: In Markov Chain Monte Carlo (MCMC) simulations, thermal equilibria quantities are estimated by ensemble average over a s le set containing a large number of correlated s les. These s les are selected in accordance with the probability distribution function, known from the partition function of equilibrium state. As the stochastic error of the simulation results is significant, it is desirable to understand the variance of the estimation by ensemble average, which depends on the s le size (i.e., the total number of s les in the set) and the s ling interval (i.e., cycle number between two consecutive s les). Although large s le sizes reduce the variance, they increase the computational cost of the simulation. For a given CPU time, the s le size can be reduced greatly by increasing the s ling interval, while having the corresponding increase in variance be negligible if the original s ling interval is very small. In this work, we report a few general rules that relate the variance with the s le size and the s ling interval. These results are observed and confirmed numerically. These variance rules are derived for the MCMC method but are also valid for the correlated s les obtained using other Monte Carlo methods. The main contribution of this work includes the theoretical proof of these numerical observations and the set of assumptions that lead to them.
Publisher: Elsevier BV
Date: 2012
Publisher: Elsevier BV
Date: 02-2010
Publisher: Elsevier BV
Date: 11-2015
Publisher: Springer Science and Business Media LLC
Date: 07-06-2006
Publisher: Elsevier BV
Date: 11-2013
Publisher: Elsevier BV
Date: 11-2007
Publisher: Elsevier BV
Date: 04-2017
Publisher: Elsevier BV
Date: 04-2011
Publisher: Central Library of the Slovak Academy of Sciences
Date: 2017
Publisher: Elsevier BV
Date: 04-2019
Publisher: AIP Publishing
Date: 04-2022
DOI: 10.1063/5.0087595
Abstract: In the present study, mesopycnal flows are investigated using direct numerical simulations. In particular, intrusive density- and particle-driven gravity currents in the lock exchange setup are simulated with the high-order finite-difference framework Xcompact3d. To account for the settling velocity of particles, a customized Fick's law for the particle-solution species is used with an additional term incorporating a constant settling velocity proportional to the concentration of particles. A general energy budget equation is presented, for which the energy can migrate across the domain's boundaries. The relevant main features of intrusive gravity currents, such as front velocity, energy exchanges, sedimentation rate, deposit profile, and deposit map are discussed with the comparison between two- and three-dimensional simulations. In particular, the influence of the Grashof number, the interface thickness, the energy exchanges, the sedimentation process, and how the presence of more than one particle fraction may change the flow dynamics are investigated. The results are in good agreement with previous experiments and theoretical work, in particular for the prediction of the front velocity. For the particle-driven case, the suspended mass evolution along with the sedimentation rate suggests the occurrence of three different stages. In the first stage after the lock release, the particle mixture tends to suspend itself due to gravitational forces. Once most of the particle-mixture mass is suspended, the current intrudes while increasing its velocity, reaching its kinetic energy peak. In the last stage, the particles are deposited at a nearly constant sedimentation rate. As a result, the front velocity constantly decelerates.
Publisher: Wiley
Date: 05-04-2007
DOI: 10.1002/FLD.1484
Abstract: The YZ β discontinuity‐capturing operator, recently introduced in ( Encyclopedia of Computational Mechanics , Vol. 3 , Fluids . Wiley: New York, 2004) in the context of compressible flows, is applied to a time‐dependent, scalar advection–diffusion equation with the purpose of modelling drug delivery processes in blood vessels. The formulation is recast in a residual‐based form, which reduces to the previously proposed formulation in the limit of zero diffusion and source term. The NURBS‐based isogeometric analysis method, proposed by Hughes et al. ( Comput. Methods Appl. Mech. Eng. 2005 194: 4135–4195), was used for the numerical tests. Effects of various parameters in the definition of the YZ β operator are examined on a model problem and the better performer is singled out. While for low‐order B‐spline functions discontinuity capturing is necessary to improve solution quality, we find that high‐order, high‐continuity B‐spline discretizations produce sharp, nearly monotone layers without the aid of discontinuity capturing. Finally, we successfully apply the YZ β approach to the simulation of drug delivery in patient‐specific coronary arteries. Copyright © 2007 John Wiley & Sons, Ltd.
Publisher: American Chemical Society (ACS)
Date: 27-10-2015
Publisher: Civil-Comp Press
Date: 2012
DOI: 10.4203/CCP.99.221
Publisher: Elsevier BV
Date: 06-2016
Publisher: Elsevier BV
Date: 08-2015
Publisher: Elsevier BV
Date: 03-2010
Publisher: Elsevier BV
Date: 02-2019
Publisher: Elsevier BV
Date: 2013
Publisher: Elsevier BV
Date: 2014
Publisher: World Scientific Pub Co Pte Lt
Date: 29-12-2013
DOI: 10.1142/S0218202513500565
Abstract: In this paper, we present a high-order expansion for elliptic equations in high-contrast media. The background conductivity is taken to be one and we assume the medium contains high (or low) conductivity inclusions. We derive an asymptotic expansion with respect to the contrast and provide a procedure to compute the terms in the expansion. The computation of the expansion does not depend on the contrast which is important for simulations. The latter allows avoiding increased mesh resolution around high conductivity features. This work is partly motivated by our earlier work in [Domain decomposition preconditioners for multiscale flows in high-contrast media, Multiscale Model Simul.8 (2010) 1461–1483] where we design efficient numerical procedures for solving high-contrast problems. These multiscale approaches require local solutions and our proposed high-order expansion can be used to approximate these local solutions inexpensively. In the case of a large-number of inclusions, the proposed analysis can help to design localization techniques for computing the terms in the expansion. In the paper, we present a rigorous analysis of the proposed high-order expansion and estimate the remainder of it. We consider both high- and low-conductivity inclusions.
Publisher: Elsevier BV
Date: 10-2015
Publisher: Wiley
Date: 13-02-2013
Publisher: Royal Society of Chemistry (RSC)
Date: 2013
DOI: 10.1039/C3SM27475F
Publisher: Elsevier BV
Date: 2015
Publisher: Springer Science and Business Media LLC
Date: 29-03-2008
Publisher: Society of Petroleum Engineers
Date: 2015
DOI: 10.2118/173271-MS
Publisher: Elsevier BV
Date: 2012
Publisher: Elsevier BV
Date: 2014
Publisher: Springer Science and Business Media LLC
Date: 20-03-2017
Publisher: Elsevier BV
Date: 02-2010
Publisher: Elsevier BV
Date: 2015
Publisher: Elsevier BV
Date: 09-2013
Publisher: Elsevier BV
Date: 08-2015
Publisher: Springer Science and Business Media LLC
Date: 20-08-2011
Publisher: Springer Berlin Heidelberg
Date: 2014
Publisher: Elsevier BV
Date: 2014
Publisher: Elsevier BV
Date: 2010
Publisher: SPE
Date: 16-09-2013
DOI: 10.2118/165985-MS
Abstract: A lattice Boltzmann method (LBM) for flow simulations in highly heterogeneous porous media at both pore and Darcy scales is proposed in the paper. In the pore scale simulations, flow of two phases (e.g., oil and gas) or two immiscible fluids (e.g., water and oil) are modeled using cohesive or repulsive forces, respectively. The relative permeability can be computed using pore-scale simulations and seamlessly applied for intermediate and Darcy-scale simulations. A multiscale LBM that can reduce the computational complexity of existing LBM and transfer the information between different scales is implemented. The results of coarse-grid, reduced-order, simulations agree very well with the averaged results obtained using fine grid.
Publisher: IEEE
Date: 04-2014
Publisher: Cambridge University Press (CUP)
Date: 05-2014
DOI: 10.1017/S0001924000009325
Abstract: The current understanding of the aerodynamics of birds in formation flights is mostly based on field observations. The interpretation of these observations is usually made using simplified aerodynamic models. Here, we investigate the aerodynamic aspects of formation flights. We use a potential flow solver based on the unsteady vortex lattice method (UVLM) to simulate the flow over flapping wings flying in grouping arrangements and in proximity of each other. UVLM has the capability to capture unsteady effects associated with the wake. We demonstrate the importance of properly capturing these effects to assess aerodynamic performance of flapping wings in formation flight. Simulations show that flying in line formation at adequate spacing enables significant increase in the lift and thrust and reduces power consumption. This is mainly due to the interaction between the trailing birds and the previously-shed wake vorticity from the leading bird. Moreover, enlarging the group of birds flying in formation further improves the aerodynamic performance for each bird in the flock. Therefore, birds get significant benefit of such organised patterns to minimise power consumption while traveling over long distances without stop and feeding. This justifies formation flight as being beneficial for bird evolution without regard to potential social benefits, such as, visual and communication factors for group protection and predator evasion.
Publisher: Elsevier BV
Date: 06-2014
Location: Saudi Arabia
Location: Saudi Arabia
Start Date: 2018
End Date: 2022
Funder: Australian Research Council
View Funded ActivityStart Date: 02-2019
End Date: 02-2025
Amount: $3,925,357.00
Funder: Australian Research Council
View Funded Activity