Zobrazeno 1 - 10
of 155
pro vyhledávání: '"DURÁN, ADRIAN"'
Autor:
Ma, Rong, Lozano-Duran, Adrian
We introduce a wall model (WM) for large-eddy simulation (LES) applicable to rough surfaces with Gaussian and non-Gaussian distributions for both transitionally and fully rough regimes. The model is applicable to arbitrary complex geometries where ro
Externí odkaz:
http://arxiv.org/abs/2406.00471
Causality lies at the heart of scientific inquiry, serving as the fundamental basis for understanding interactions among variables in physical systems. Despite its central role, current methods for causal inference face significant challenges due to
Externí odkaz:
http://arxiv.org/abs/2405.12411
We introduce a closure model for wall-modeled large-eddy simulation (WMLES), referred to as the Building-block Flow Model (BFM). The foundation of the model rests on the premise that a finite collection of simple flows encapsulates the essential phys
Externí odkaz:
http://arxiv.org/abs/2403.09000
Autor:
Arranz, Gonzalo, Lozano-Durán, Adrian
Publikováno v:
J. Fluid Mech. 1000 (2024) A95
Not all the information in a turbulent field is relevant for understanding particular regions or variables in the flow. Here, we present a method for decomposing a source field into its informative $\boldsymbol{\Phi}_I(\boldsymbol{x},t)$ and residual
Externí odkaz:
http://arxiv.org/abs/2402.11448
Autor:
Yuan, Yuan, Duran, Adrian Lozano
Predicting extreme events in chaotic systems, characterized by rare but intensely fluctuating properties, is of great importance due to their impact on the performance and reliability of a wide range of systems. Some examples include weather forecast
Externí odkaz:
http://arxiv.org/abs/2401.16512
We introduce an information-theoretic method for quantifying causality in chaotic systems. The approach, referred to as IT-causality, quantifies causality by measuring the information gained about future events conditioned on the knowledge of past ev
Externí odkaz:
http://arxiv.org/abs/2310.20544
Wall-modeled large-eddy simulation (WMLES) is utilized to analyze the experimental aircraft X-59 Quiet SuperSonic Technology (QueSST) developed by Lockheed Martin at Skunk Works for NASA's Low-Boom Flight Demonstrator project. The simulations utilize
Externí odkaz:
http://arxiv.org/abs/2307.02725
Autor:
Park, Danah, Lozano-Duran, Adrian
The energy cascade, i.e. the transfer of kinetic energy from large-scale to small-scale flow motions, has been the cornerstone of turbulence theories and models since the 1940s. However, understanding the spatial organization of the energy transfer h
Externí odkaz:
http://arxiv.org/abs/2306.08784
Autor:
Ling, Yuenong, Arranz, Gonzalo, Williams, Emily, Goc, Konrad, Griffin, Kevin, Lozano-Durán, Adrián
A unified subgrid-scale (SGS) and wall model for large-eddy simulation (LES) is proposed by devising the flow as a collection of building blocks that enables the prediction of the eddy viscosity. The core assumption of the model is that simple canoni
Externí odkaz:
http://arxiv.org/abs/2212.05120
Autor:
Lozano-Durán, Adrián, Bae, H. Jane
A wall model for large-eddy simulation (LES) is proposed by devising the flow as a combination of building blocks. The core assumption of the model is that a finite set of simple canonical flows contains the essential physics to predict the wall-shea
Externí odkaz:
http://arxiv.org/abs/2211.07879