Inicio  /  Aerospace  /  Vol: 8 Par: 12 (2021)  /  Artículo
ARTÍCULO
TITULO

Statistical Analysis of Dynamic Subgrid Modeling Approaches in Large Eddy Simulation

Mohammad Khalid Hossen    
Asokan Mulayath Variyath and Jahrul M. Alam    

Resumen

In large eddy simulation (LES) of turbulent flows, dynamic subgrid models would account for an average cascade of kinetic energy from the largest to the smallest scales of the flow. Yet, it is unclear which of the most critical dynamical processes can ensure the criterion mentioned above. Furthermore, evidence of vortex stretching being the primary mechanism of the cascade is not out of the question. In this article, we study essential statistical characteristics of vortex stretching. Our numerical results demonstrate that vortex stretching rate provides the energy dissipation rate necessary for modeling subgrid-scale turbulence. We have compared the interaction of subgrid stresses with the filtered quantities among four models using invariants of the velocity gradient tensor. The individual and the joint probability of vortex stretching and strain amplification show that vortex stretching rate is highly correlated with the energy cascade rate. Sheet-like flow structures are correlated with viscous dissipation, and vortex tubes are more stretched than compressed. The overall results indicate that the stretching mechanism extracts energy from the large-scale straining motion and passes it onto small-scale stretched vortices.

 Artículos similares

       
 
Bruno Martins, Adélia Nunes, Luciano Lourenço and Fátima Velez-Castro    
São Vicente Island (Republic of Cape Verde) lies within the Sahelian zone and faces several natural hazards, one of which is flash flooding. With the purpose of understanding what factors determine flash flood risk perception, a questionnaire entitled Fl... ver más
Revista: Water

 
Hugo López-Fernández     Pág. 22 - 25
Mass spectrometry using matrix assisted laser desorption ionization coupled to time of flight analyzers (MALDI-TOF MS) has become popular during the last decade due to its high speed, sensitivity and robustness for detecting proteins and peptides. This a... ver más

 
Jose M. Bernal-de-Lázaro     Pág. 74 - 81
This article summarizes the main contributions of the PhD thesis titled: "Application of learning techniques based on kernel methods for the fault diagnosis in Industrial processes". This thesis focuses on the analysis and design of fault diagnosis syste... ver más

 
Damny Magdaleno Guevara, Yadriel Miranda, Ivett Fuentes, María Garc ía     Pág. 69 - 80
A huge amount of information is represented in XML format. Several tools have been developed to store, and query XML data. It becomes inevitable to develop high performance techniques for efficiently analysing extremely large collections of XML data. O... ver más

 
Massimiliano Pepe, Domenica Costantino and Vincenzo Saverio Alfio    
The aim of the paper is to identify a suitable method for assessing the deformation of structures (buildings, bridges, walls, etc.) by means of topographic measurements of significant targets positioned on the infrastructure under consideration. In parti... ver más
Revista: Infrastructures