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DTSTART:19700308T020000
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DTSTAMP:20230831T095746Z
LOCATION:Wisshorn
DTSTART;TZID=Europe/Stockholm:20230627T160000
DTEND;TZID=Europe/Stockholm:20230627T163000
UID:submissions.pasc-conference.org_PASC23_sess143_msa207@linklings.com
SUMMARY:Spectral Element Method Discontinuity Control through Accuracy Pre
 serving Filtering and Data Driven Methods
DESCRIPTION:Minisymposium\n\nAdalberto Perez (KTH Royal Institute of Techn
 ology); Saleh Rezaeiravesh (University of Manchester); Stefano Markidis (K
 TH Royal Institute of Technology); and Philipp Schlatter (Friedrich-Alexan
 der-Universität Erlangen-Nürnberg, KTH Royal Institute of Technology)\n\nT
 he Spectral Element Method (SEM), a high order variant of the Finite eleme
 nt method, is an attractive and often used approach to solve partial diffe
 rential equations such as the Navier Stokes Equations, given that it provi
 des high accuracy solutions with a relatively smaller number of grid point
 s compared to other types of methods. In the study of turbulence, discreti
 zations that solve the smallest eddies in the flow must be employed in ord
 er to perform so called Direct Numerical Simulations (DNS), usually with t
 he aim to understand the underlying physics of a particular flow case. The
  basis of SEM, however, is that while it ensures fields to be continuous a
 cross elements, the same is not so for the derivatives, an inconvenience t
 hat can make itself known when analysing statistics of turbulent flow fiel
 ds even in fully resolved configurations. The aim of this work is to explo
 re methods that can alleviate discontinuities present in statistics of qua
 ntities obtained from derivatives of turbulent flow field data, ranging fr
 om accuracy preserving filters to forcing terms that alleviate such phenom
 enon.\n\nDomain: Engineering\n\nSession Chair: Philipp Schlatter (Friedric
 h-Alexander-Universität Erlangen-Nürnberg, KTH Royal Institute of Technolo
 gy)
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