Imagen de Portada

Reduced Basis Model for Compressible Flow

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Staggl, Marian, Sanz, Wolfgang, Pieringer, Paul
Formato:	Preprint
Publicado:	2025
Materias:	Fluid Dynamics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Bayesian-Enhanced Galerkin-Based Reduced Order Modelling for Unsteady Compressible Flows
por: Yang, Bijie, et al.
Publicado: (2026)

Nonlinear Reduced-Order Modeling of Compressible Flow Fields Using Deep Learning and Manifold Learning
por: Mufti, Bilal, et al.
Publicado: (2024)

Joint Reduced Model for the Laminar and Chaotic Attractors in Plane Couette Flow
por: Kaszás, Bálint, et al.
Publicado: (2025)

A Compression-Directional Entropic Stress Method for Shock-Regularized Compressible Flow
por: Xu, Bonan, et al.
Publicado: (2026)

Hybrid Reduced-Order Models for Turbulent Flows Using Recurrent Neural Architectures
por: Imtiaz, Haroon, et al.
Publicado: (2025)

Manifold Learning with Implicit Physics Embedding for Reduced-Order Flow-Field Modeling
por: Wang, Weiji, et al.
Publicado: (2026)

Influence of Aspect Ratio and Flow Compressibility on Flow Dynamics in a Confined Cavity
por: Bhaduri, Sreejita, et al.
Publicado: (2025)

Optimized Flow Control based on Automatic Differentiation in Compressible Turbulent Channel Flows
por: Wang, Wenkang, et al.
Publicado: (2024)

Reduced Representations of Rayleigh-Bénard Flows via Autoencoders
por: Vinograd, Melisa Y., et al.
Publicado: (2024)

On the Accuracy of Compressibility Transformations
por: Danis, M. Engin, et al.
Publicado: (2024)

VIVALDy: A Hybrid Generative Reduced-Order Model for Turbulent Flows, Applied to Vortex-Induced Vibrations
por: Tonioni, Niccolò, et al.
Publicado: (2025)

Tackling Compressible Turbulent Multi-Component Flows with Dynamic hp-Adaptation
por: Mossier, Pascal, et al.
Publicado: (2025)

Covariant Chu-Kovasznay Decomposition: Resolving Thermodynamic Ambiguity in Compressible Flows
por: Park, Chanho, et al.
Publicado: (2026)

An Architecture-Agnostic High-Order Discontinuous Galerkin Framework for Compressible Flows
por: Starr, Spencer, et al.
Publicado: (2026)

Impact of Engine Nacelle Flow on Buffet
por: Lürkens, Thomas, et al.
Publicado: (2023)

An AMReX-based Compressible Reacting Flow Solver for High-speed Reacting Flows relevant to Hypersonic Propulsion
por: Sharma, Shivank, et al.
Publicado: (2024)

A Provably Robust Multi-Jet Framework applied to Active Flow Control of an Airfoil in Weakly Compressible Flow
por: Kaushik, Rohan, et al.
Publicado: (2026)

Consistent Interface Capturing Adaptive Reconstruction Approach for Viscous Compressible Multicomponent Flows
por: Chamarthi, Amareshwara Sainadh
Publicado: (2024)

Superresolving Non-linear PDE Dynamics with Reduced-Order Autodifferentiable Ensemble Kalman Filtering For Turbulence Modeling and Flow Regulation
por: Dhingra, Mrigank, et al.
Publicado: (2025)

Physics-Informed Neural Networks for Weakly Compressible Flows Using Galerkin-Boltzmann Formulation
por: Aygun, Atakan, et al.
Publicado: (2024)

Assessment of Gradient-based Reconstruction and Artificial Diffusivity Methods in Simulating High-Speed Compressible Flows
por: Kumar, R. R., et al.
Publicado: (2025)

Wave-Appropriate Reconstruction of Compressible Multiphase and Multicomponent Flows: Fully Conservative and Semi-Conservative Eigenstructures
por: Chamarthi, Amareshwara Sainadh
Publicado: (2026)

A Differentiable Programming Framework for Accurate and Stable Reduced-Order Modeling of Chaotic Flows
por: Kumar, Anant, et al.
Publicado: (2026)

Physics-informed Fourier Basis Neural Network for Fluid Mechanics
por: Wang, Chao, et al.
Publicado: (2025)

On the Poisson-Source Basis of Logarithmic Wall-Pressure-Variance Growth
por: Massey, Jonathan M. O., et al.
Publicado: (2025)

JAX-Shock: A Differentiable, GPU-Accelerated, Shock-Capturing Neural Solver for Compressible Flow Simulation
por: Zhang, Bo
Publicado: (2026)

High-order Finite-Volume Central Targeted ENO Family Scheme for Compressible Flows in Unstructured Meshes
por: Ma, Qihang, et al.
Publicado: (2023)

Finite Volume Physical Informed Neural Network (FV-PINN) with Reduced Derivative Order for Incompressible Flows
por: Su, Zijie, et al.
Publicado: (2024)

Efficient Reduced Order Modeling Based on HODMD to Predict Intraventricular Flow Dynamics
por: Lazpita, Eneko, et al.
Publicado: (2025)

Stochastic Wavevector Model for Rapidly-Distorted Compressible Turbulence
por: Zambrano, Noah, et al.
Publicado: (2024)

Real-Time Estimation of High-Resolution Flow Fields and Reduced-Order Coordinates from Event-Based Imaging Velocimetry
por: Franceschelli, L., et al.
Publicado: (2026)

Reduced-Order Modelling and Closed-Loop Control of the Cylinder Wake
por: Vojković, Tea, et al.
Publicado: (2024)

Efficient and Accurate Surrogate Modeling of Turbulent Flows via Space-Dependent Aggregation and Reduced Order Models
por: Zappi, Piero, et al.
Publicado: (2026)

Evaluation of Turbulence Models and Boundary Conditions for Hybrid Ventilation in Reduced-scale Classroom Model
por: Singh, Deep Narayan, et al.
Publicado: (2025)

Adjacency-based, Non-intrusive Reduced-order Modeling for Fluid-Structure Interactions
por: Gkimisis, Leonidas, et al.
Publicado: (2023)

The Salinas Reactive-Flow Rate Model
por: Williams, Peter Todd
Publicado: (2025)

$\texttt{CRLS}$: Convolutional Regularized Least Squares Framework for Reduced Order Modeling of Transonic Flows
por: Bilal, Muhammad, et al.
Publicado: (2025)

A Kinetic Flux Difference Splitting Method for Compressible Flows
por: S, Shrinath. K., et al.
Publicado: (2021)

Investigations on Projection-Based Reduced Order Model Development for Rotating Detonation Engine
por: Camacho, Ryan, et al.
Publicado: (2024)

Modelling Wind Turbines via Actuator Lines in High-Order h/p Solvers
por: Marino, Oscar A., et al.
Publicado: (2024)