Publications

@conference{kellyaero,
title = {The Aero-Optical Environment Around a Helicopter Computed using the Compressible Vorticity Confinement Method},
author = { Ryan Kelly and Aleksandar Jemcov and EJ Jumper},
url = {https://www.researchgate.net/profile/Aleksandar_Jemcov/publication/265160747_The_Aero-Optical_Environment_Around_a_Helicopter_Computed_using_the_Compressible_Vorticity_Confinement_Method/links/553842610cf226723ab62c00.pdf?origin=publication_detail_rebranded&ev=pub_int_prw_xdl&msrp=YEcxZO1tD0K1Uq%2F4ZuULU6ULpM4UwwJkfi%2BXXH0O%2FGy%2BnU6lQbiArS0qW9hsifjTJ3CwUlxtr8fKDYLqZ2oFcA%3D%3D_zJ1eeUAm%2BvjnJ%2BtDbtUm1Lj4pjYIBOQFkMXAmk4HNMp9FGWUoUBoLK%2BDaEVBaGlbDjNdmdXKIKIiAXHoeS39wg%3D%3D},
doi = {10.2514/6.2013-3131},
year = {2013},
date = {2013-06-01},
booktitle = {44th AIAA Plasmadynamics and Lasers Conference, At San Diego, California},
keywords = {AO, Model, VCM, Velocity},
pubstate = {published},
tppubtype = {conference}
}

@conference{fawell2011pilot,
title = {Pilot and full-scale validation of thickener and feedwell modelling},
author = {Phillip D Fawell and Kosta Simic and Krishna Mohanarangam and Darrin W Stephens and Murray Rudman and David Paterson and William Yang and John B Farrow},
editor = { RJ Jewell and AB Fourie},
url = {http://www.researchgate.net/publication/267038295_Pilot_and_full-scale_validation_of_thickener_and_feedwell_modelling},
year = {2011},
date = {2011-01-01},
booktitle = {14th International Seminar on Paste and Thickened Tailings (Australian Centre for Geomechanics 5 April 2011 to 7 April 2011)},
pages = {81--91},
organization = {Australian Centre for Geomechanics},
abstract = {Advanced Computational Fluid Dynamics (CFD) modelling techniques are well suited for examining suspension flow patterns within feedwells and thickeners from which improved design options can be developed and evaluated. However, the confidence to rely upon recommendations based upon CFD requires model validation, something that is not readily achieved without a major commitment of resources. This paper outlines a number of experimental validation procedures applied to test CFD models for different thickening zones as part of the AMIRA P266 "Improving Thickener Technology" series of projects },
keywords = {Flocculant, Model, RTD, Tracer, UVP, Velocity},
pubstate = {published},
tppubtype = {conference}
}

@conference{jemcov2007acceleration,
title = {Acceleration and stabilization of algebraic multigrid solver applied to incompressible flow problems},
author = { Aleksandar Jemcov and Joseph P Maruszewski and Hrvoje Jasak},
doi = {10.2514/6.2007-4330},
year = {2007},
date = {2007-01-01},
booktitle = {AIAA CFD conference},
abstract = {Acceleration and stabilization of the Algebraic Multigrid solver (AMG) through n-th order Recursive Projection Method (RPM(n)) is described. It is shown that significant acceleration can be obtained if RPM(n) is applied to AMG during the inner iteration loop in a typical implicit incompressible CFD codes. In addition to accelerating the so- lution, RPM(n) provides increased stability to the AMG Solver extending it beyond its normal range of applicability in terms of matrix conditioning and M-matrix properties. RPM(n) algorithm allows the use of agglomerative AMG solver with simple smoothers to be effectively applied to matrices that are not an M-matrix. Theoretical foundations of RPM(n)-AMG algorithm are presented with some practical aspects of the algorithm im- plementation. Numerical experiments that involve pressure correction matrices of various sizes that appear in segregated pressure based algorithms together with coupled momen- tum and pressure matrices stemming from coupled pressure based algorithms are used to illustrate the effectiveness of the method.},
keywords = {AMG, Linear Solver, Matrix, RPM, Solver, Velocity},
pubstate = {published},
tppubtype = {conference}
}

@conference{jemcov2005nonlinear,
title = {Nonlinear Parameter Estimation in Inviscid Compressible Flows in Presence of Uncertainties},
author = { ALeksandar Jemcov and Sanjay Mathur},
url = {https://www.researchgate.net/profile/Aleksandar_Jemcov/publication/265161046_NONLINEAR_PARAMETER_ESTIMATION_IN_INVISCID_COMPRESSIBLE_FLOWS_IN_PRESENCE_OF_UNCERTAINTIES/links/54009fa20cf2c48563ae5881.pdf?origin=publication_detail_rebranded&ev=pub_int_prw_xdl&msrp=Eb6hxD11VAw8qlL87p7OgqEvootFE1qcP1%2B29eaQTXDZQJsA8p7cxhtWYujmiizIS6g9Ghe%2Fs%2FiKlYpqUkiuGg%3D%3D_xyhmRLK3POGJnefHrNX7GIlJ13cJFypuToDg6Wh3WROQGJDU9efiaEfVb4Ncmlvxom8DUrMXvQfMj5PjopEZKw%3D%3D&inViewer=1},
year = {2005},
date = {2005-01-01},
booktitle = {CFD2005 Conference CFD Society of Canada},
organization = {CFD Society of Canada},
abstract = {The focus of this paper is on the formulation and solution of inverse problems of parameter estimation using algorithmic differentiation. The inverse problem formulated here seeks to determine the input parameters that minimize a least squares functional with respect to certain target data. The formulation allows for uncertainty in the target data by considering the least squares functional in a stochastic basis described by the covariance
of the target data. Furthermore, to allow for robust design, the formulation also accounts for uncertainties in the input parameters. This is achieved using the method of propagation of uncertainties using the directional derivatives of the output parameters with respect to unknown parameters. The required derivatives are calculated simultaneously with the solution using generic programming exploiting the template
and operator overloading features of the C++ language. The methodology described here is general and applicable to any numerical solution procedure for any set of governing equations but for the purpose of this paper we consider a finite volume solution of the compressible Euler equations. In particular, we illustrate the method for the case of supersonic flow in a duct with a wedge. The parameter to be determined is the
inlet Mach number and the target data is the axial component of velocity at the exit of the duct.},
keywords = {AEM, Algorithm, C++, Compressible, Flow, SEM, Velocity},
pubstate = {published},
tppubtype = {conference}
}