Lucian Ivan

ORCID: 0000-0003-2109-2584
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About
Contact & Profiles
Research Areas
  • Computational Fluid Dynamics and Aerodynamics
  • Fluid Dynamics and Turbulent Flows
  • Gas Dynamics and Kinetic Theory
  • Combustion and Detonation Processes
  • Wind and Air Flow Studies
  • Advanced Numerical Methods in Computational Mathematics
  • Particle Dynamics in Fluid Flows
  • Fire dynamics and safety research
  • Meteorological Phenomena and Simulations
  • Computer Graphics and Visualization Techniques
  • Nuclear Issues and Defense
  • Industrial Vision Systems and Defect Detection
  • Environmental and Biological Research in Conflict Zones
  • Plasma and Flow Control in Aerodynamics
  • Global Energy Security and Policy
  • Risk and Safety Analysis
  • Solar and Space Plasma Dynamics
  • Integrated Energy Systems Optimization
  • Climate Change Policy and Economics
  • Electric Power System Optimization
  • Image and Signal Denoising Methods
  • Banking, Crisis Management, COVID-19 Impact

Bucharest University of Economic Studies
2023

Canadian Nuclear Laboratories
2017-2019

University of Toronto
2007-2018

University of Waterloo
2011-2014

Hong Kong Polytechnic University
2009

A high-order central essentially non-oscillatory (CENO) finite-volume scheme in combination with a block-based adaptive mesh refinement (AMR) algorithm is proposed for solution of hyperbolic systems conservation laws on body-fitted multi-block mesh. The CENO based hybrid reconstruction procedure that combines an unlimited k-exact least-squares technique following from fixed stencil monotonicity preserving limited piecewise linear algorithm. Switching the determined by smoothness indicator...

10.2514/6.2007-4323 article EN 17th AIAA Computational Fluid Dynamics Conference 2007-06-15

A high-order, central, essentially non-oscillatory (CENO), finite-volume scheme in combination with a block-based adaptive mesh refinement (AMR) algorithm is proposed for solution of the Navier-Stokes equations on body-fitted multi-block mesh. In contrast to other ENO schemes which require reconstruction multiple stencils, CENO method uses hybrid approach based fixed central stencil. This feature crucial avoiding complexities associated stencils schemes, providing high-order accuracy at...

10.2514/6.2011-367 article EN 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition 2011-01-04

and scalable cubed-sphere grid framework is described for simulation of magnetohydrodynamic (MHD) space-physics ows in domains between two concentric spheres. The unique feature the proposed formulation compared to existing codes lies design a that based on genuine consistent multi-block implementation, leading ux calculations, adaptivity, implicit solves, parallelism are fully transparent boundaries six root blocks correspond sectors grid. Crucial elements approach facilitate this exible...

10.2514/6.2011-3382 article EN 17th AIAA Computational Fluid Dynamics Conference 2011-06-14

Abstract The article aims to highlight the usefulness of composite indicators applications as an analytical tool in guiding national security policies related multidimensional phenomena revealing its role measuring hybrid threats - part global risks. qualitative and quantitative research shows that use at country level is a relatively new topic, has enjoyed increased interest since 2021. originality lies way it putted evidence link between nature threats, order argue using this modern...

10.2478/picbe-2023-0081 article EN cc-by Proceedings of the ... International Conference on Business Excellence 2023-07-01

A “dirty bomb” is a type of hypothetical radiological dispersal device (RDD) that has been the subject significant safety and security concerns given disruption would result in postulated terrorist attack. Reliable accurate predictions dispersion material from an RDD are absolutely necessary for first responders emergency decision makers to plan effective response strategies. Development high-fidelity, mechanistic models dirty bomb complicated because over areas with greatest risk...

10.12943/cnr.2017.00005 article EN CNL Nuclear Review 2017-09-15
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