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Dive into the research topics where Patrick Armand is active.

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Featured researches published by Patrick Armand.


Archive | 2016

Evaluation of Local-Scale Models for Accidental Releases in Built Environments: Results of the Modelling Exercises in Cost Action ES1006

Silvia Trini Castelli; Kathrin Baumann-Stanzer; Bernd Leitl; C. Maya Milliez; Eva Berbekar; Aniko Rakai; Vladimír Fuka; Antti Hellsten; Anton Petrov; George Efthimiou; Spyros Andronopoulos; G. Tinarelli; Richard Tavares; Patrick Armand; Claudio Gariazzo; Klára Jurčáková; Goran Gašparac; all Cost Es Members

A main research task of COST Action ES1006 is the evaluation of atmospheric dispersion models by their comparison against test data from qualified field and laboratory experiments and by a model inter-comparison. The model comparison and evaluation carried out for three test cases is presented, addressing the performance of the different modelling approaches, quantifying the scatter of results when different models are applied and assessing the effect of uncertainties.


Environmental Fluid Mechanics | 2017

Description and preliminary validation of the PMSS fast response parallel atmospheric flow and dispersion solver in complex built-up areas

Olivier Oldrini; Patrick Armand; Christophe Duchenne; Christophe Olry; Jacques Moussafir; Gianni Tinarelli

Noxious atmospheric releases may originate from both accidents and malicious activities. They are a major concern for public authorities or first responders who may wish to have the most accurate situational awareness. Nonetheless, it is difficult to reliably and accurately model the flow, transport, and dispersion processes in large complex built-up environments in a limited amount of time and resources compatible with operational needs. The parallel version of Micro-SWIFT-SPRAY (PMSS) is an attempt to propose a physically sound and fast response modelling system applicable to complicated industrial or urban sites in case of a hazardous release. This paper presents and justifies the choice of the diagnostic flow and Lagrangian dispersion models in PMSS. Then, it documents in detail the development of the parallel algorithms used to reduce the computational time of the models. Finally, the paper emphasizes the preliminary model validation and parallel performances of PMSS based on data from both wind tunnel (Evaluation of Model Uncertainty) and in-field reduced-scale (Mock Urban Setting Test) and real-scale (Oklahoma City) experimental campaigns.


Lagrangian Modeling of the Atmosphere | 2013

Review and Validation of MicroSpray, a Lagrangian Particle Model of Turbulent Dispersion

G. Tinarelli; Luca Mortarini; S. Trini Castelli; Giuseppe Carlino; Jacques Moussafir; C. Olry; Patrick Armand; D. Anfossi


Atmospheric Environment | 2015

An adaptive Bayesian inference algorithm to estimate the parameters of a hazardous atmospheric release

Harizo Rajaona; François Septier; Patrick Armand; Yves Delignon; Christophe Olry; Armand Albergel; Jacques Moussafir


Chemical engineering transactions | 2014

Cost Action Es1006. Evaluation, Improvement and Guidance of Local-scale Emergency Prediction and Response Tools for Airborne Hazards in Built Environments: Ongoing Activities, Experiments and Recent Results

Claudio Gariazzo; Bernd Leitl; S. Trini Castelli; Kathrin Baumann-Stanzer; Tamir G. Reisin; Fotios Barmpas; G. Tinarelli; C.M. Milliez; Patrick Armand; E. Bemporad


15th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes | 2013

Adaptive Bayesian Algorithms for the Estimation of Source Term in a Complex Atmospheric Release

Adrien Ickowicz; François Septier; Patrick Armand; Yves Delignon


Atmospheric Environment | 2018

Validation of a Lagrangian particle dispersion model with wind tunnel and field experiments in urban environment

S. Trini Castelli; Patrick Armand; G. Tinarelli; C. Duchenne; M. Nibart


17th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes (HARMO 17) | 2016

A Bayesian approach of the Source Term Estimate coupling retro-dispersion computations with a Lagrangian Particle Dispersion Model and the Adaptive Multiple Importance Sampling

Harizo Rajaona; François Septier; Yves Delignon; Patrick Armand; Christophe Olry; Armand Albergel


Archive | 2014

Dispersion of Radionuclides and Exposure Assessment in Urban Environments: A Joint CEA and LLNL Report

Lee Glascoe; Akshay Gowardhan; Kristin P. Lennox; Matthew Simpson; Kristen Yu; Patrick Armand; Christophe Duchenne; Frederic Mariotte; Xavier Pectorin


16th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes (HARMO 16) | 2014

Estimating Source Term Parameters through Probabilistic Bayesian inference: An Approach based on an Adaptive Multiple Importance Sampling Algorithm

Harizo Rajaona; Patrick Armand; François Septier; Yves Delignon; Christophe Olry; Jacques Moussafir

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Adrien Ickowicz

Commonwealth Scientific and Industrial Research Organisation

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Yves Delignon

Institut Mines-Télécom

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Harizo Rajaona

Institut Mines-Télécom

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Hichem Snoussi

University of Technology of Troyes

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