Zobrazeno 1 - 10
of 2 303
pro vyhledávání: '"Lozano-Durán A"'
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
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
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract 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 challenge
Externí odkaz:
https://doaj.org/article/5dc9efa797e4498394cb56fdce1bd06c
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
Publikováno v:
Communications Engineering, Vol 3, Iss 1, Pp 1-14 (2024)
Abstract Computational fluid dynamics is an essential tool for accelerating the discovery and adoption of transformative designs across multiple engineering disciplines. Despite its many successes, no single approach consistently achieves high accura
Externí odkaz:
https://doaj.org/article/7abc38320bd149c5b27b57660098dce3
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