Ecole Nationale de l'Aviation Civile
Toutes les publications de l'ENAC en direct.
All ENAC publications.
Today, Air Transport suffers from a lack of capacity both in En-Route airspaces(ACC) and in terminal Area (TMA). This lack of capacity leads to a high congestion resulting in important delays for both airliners and users. One solution to reduce this congestion is to organize aircraft in airspace (route segregation or different Flight levels assignment) or in Time(sequencing). The aim of this Thesis is to develop sequencing automation algorithms in order to facilitate the ATC workload (Both En-Route and Approach). Through differents studies, works will steered on En-route aspects but also terminal airspaces identified as "Extended TMA" for which speed and Flight levels...
Nucleate boiling occurs in applications such as rocket cryogenic tanks and nuclear reactor cooling, where accurate thermal predictions are critical. Bubble growth near a wall is a strongly multiscale process involving contact-line and micro-layer regimes, the latter generating micrometric liquid films and intense heat fluxes. This work presents an accurate Direct Numerical Simulation (DNS) of bubble growth in the micro-layer regime using the in-house solver DIVA. The solver employs a sharp-interface method based on Level-Set tracking and the Ghost Fluid Method (GFM) to solve the incompressible Navier–Stokes equations. A significant advancement in this study is the...
Fuzz testing is a method used in software testing that involves inputting random or unexpected data into a system to identify vulnerabilities. Unlike deterministic methods, which test performance under controlled and predictable conditions, fuzz testing introduces variability to uncover hidden issues. This variability simulates real-world scenarios, uncovering weaknesses that might otherwise remain unnoticed. For instance, fuzz testing can effectively reveal how GNSS receivers respond to rapid signal fluctuations and other anomalous behaviors, situations often overlooked by standard tests. Unlike traditional methods that rely on predefined inputs, Collins Aerospace works...
Face au réchauffement climatique et à la dépendance aux énergies fossiles, cette thèse s’intéresse à la décarbonation du transport aérien. Elle propose une méthodologie visant à évaluer les besoins en énergie et en matières premières liés à l’introduction d’avions bas carbone et à l’usage de vecteurs alternatifs tels que les électrocarburants, biocarburants, hydrogène ou électricité. La première partie de cette thèse a mis en évidence les avantages et les défis technologiques propres à chaque vecteur énergétique. Des modèles de production ont ensuite été développés afin de quantifier les besoins énergétiques associés, révélant que l’électrocarburant est le plus énergivore...
Drawing on the observed regularity of typical trips, this study proposes a method for identifying commuting patterns without using the individual identifiers of public bike-share users. The approach combines an analysis of trip duration distributions, mixture models and logistic regression based on the posterior probabilities of belonging to the ‘fast’ and ‘typical’ journey categories.
<div><p>In European Air Traffic Flow Management (ATFM) operations, local Flow Management Positions (FMPs) propose regulations to handle regional traffic imbalances. However, because these solutions are designed locally, they often relieve congestion in one area only to push the bottleneck elsewhere in the network. To solve this cascading effect, a shift must be made from localized fixes to network-wide impact management.</p><p>To address these challenges, the DeepFlow project, an exploratory research project developed under the SESAR Joint Undertaking, targets dynamic air traffic flow configuration for flow-centric airspace management. Contributing to this initiative...
<div><p>The sustained growth of air traffic demand is pushing conflict management toward high-density, tightly coupled airspace operations, where both within-sector traffic interactions and inter-sector dependencies, together with evolving constraints such as weather, significantly restrict local decision making. In sectorized airspace, locally optimal conflict resolutions inside a sector may propagate congestion across sector boundaries and create new potential conflicts for aircraft in neighboring sectors, resulting in network-wide inefficiencies and elevated operational risk. Existing geometric methods, centralized optimization frameworks, and flat multi-agent...
<div><p>Tactical congestion management in European Air Traffic Flow and Capacity Management (ATFCM) relies on Monitorable Traffic Volumes (MO TFVs), whose capacities are evaluated over fixed monitoring windows. However, congestion often arises from short-term clustering of flight entry events that may not be fully captured by aggregated capacity monitoring intervals. This paper proposes a flight-centric framework that links individual flight entry dynamics with operational TFV monitoring through a multi-scale temporal representation. The approach constructs a trajectory-informed decision space derived from historically observed sector sequences, providing operationally...
A fused dihydropyrrolidino-pyrimidine hit with low lipophilicity and excellent ligand efficiency was identified in a biochemical screen of the Global Health Chemical Diversity Library (GHCDL) against Plasmodium lysyl-tRNA synthetase (KRS). Structure-guided lead optimization delivered analogues with potent parasite growth inhibition, excellent biochemical and cellular selectivity (>1000-fold), and oral efficacy in the malaria NOD-scid-IL2Rγnull (SCID) mouse model. Structural information and computational methods were deployed to identify a potent and selective basic KRS inhibitor (30) with an extended half-life to reduce the dose regimen to a single-dose cure. Compound 30...
La régression statistique appliquée à des données appartenant à des espaces non euclidiens suscite un grand intérêt depuis de nombreuses années. La structure géométrique particulière de ces espaces implique l'adaptation des outils statistiques habituels. L'approche géométrique permet d'étudier les données de façon intrinsèque, en s'affranchissant de l'espace ambiant. Les applications en sont multiples : traitement du signal, détection radar, imagerie médicale, météorologie, trajectographie, vision par ordinateur par exemple.Dans ce contexte, ce travail propose une modélisation de l'état d'un mobile comme élément d'un groupe de Lie en décrivant la cinématique. Un...
