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HIGH-FIDELITY INDUSTRIAL LES/DNS Symposium - PAVING THE WAY FOR FUTURE ACCURATE CFD

NUMECA Int. sa

Wednesday, 14 November 2018 at 13:00 - Friday, 16 November 2018 at 16:00 (CET)

HIGH-FIDELITY INDUSTRIAL LES/DNS Symposium - PAVING...

Ticket Information

Ticket Type Remaining Sales End Price * Fee Quantity
Symposium fee standard 36 Tickets Ended €450.00 €0.00
Students and TILDA partners 13 Tickets Ended €350.00 €0.00
* Prices include BTW

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Event Details

TOWARDS HIGH-FIDELITY INDUSTRIAL LES/DNS
PAVING THE WAY FOR FUTURE ACCURATE CFD


14-16 November 2018, Brussels, Belgium -
supported by the EU H2020 TILDA project

 

HiFiLeD Symposium objectives

The simulation of turbulent flows using CFD methods has progressed rapidly over the last decades and has given rise to significant changes in the design processes of many areas of fluid mechanics. However, despite over a century of research, the modelling of turbulence and transition in industrial relevant configurations is still far from being achieved successfully.

With the advent and growing availability of large scale computing power and facilities, a new area of turbulence research is opening with the ability to perform reliable high-fidelity large-eddy simulations (LES) and direct numerical simulations (DNS) for industrial relevant flow configurations.

This availability is opening exciting new avenues towards understanding and modeling turbulence and transition by:

i. Direct generation of HiFiLeD to fully predict complex flows, by capturing most or all of the relevant turbulent scales and interactions

ii. Analyzing in depth the underlying physics, supported in particular by new technologies of Machine Learning

iii. Confronting available turbulence and transition models, identifying their deficiencies, improving the range of validity of current models and generate new ones.

This novel approach of High-Fidelity LES/DNS data has attracted many researchers in recent years, stimulated by other emerging areas, namely Big Data, Artificial Intelligence (AI) and Machine Learning (ML), which provide new efficient methodologies for interrogating and investigating very large data sets.

These topics of turbulence research are the main focus of this new HiFiLeD Symposium

The HiFiLeD Symposium will be focusing on all aspects related to these objectives, ranging from issues concerning the complexity, reliability, accuracy and uncertainties in generating the HiFiLeD data, to their application towards turbulence and transition modelling. It will include progress on the underlying high-order numerical methods (HOMs), innovative approaches for CPU acceleration for LES and DNS, exploitation of massive parallel architectures, efficient post-processing on massive parallel hardware, as well as experimental data.

Moreover, the Symposium offers the opportunity to communicate and exchange knowledge for academic researchers, graduate students, industrial engineers, as well as industrial R&D managers and consultants working in the fields of turbulent flow modelling, simulations and measurements as well as multidisciplinary CFD applications.

Call for Contributions

Contributions by participants are expected on the following topics, either as presentation, or as organizer of a Mini-Symposium:

  • Understanding Turbulence and Transition from HiFiLeD
  • Understanding Turbulence and Transition from new experimental data
  • Advances in Turbulence and Transition modelling, based on LES/DNS databases
  • Machine Learning applications to LES/DNS analysis and modelling
  • New LES/DNS data for reference configurations
  • Applications of high fidelity LES/DNS to industrial configurations
  • Algorithmic and modelling issues for LES simulations, including Wall Modelled LES (WMLES)
  • Advances in high-order methods, including curved grid generation
  • HPC related issues on multiple platforms (CPU/GPU)

Abstract submission

An abstract (1-2 page(s) max.) is requested with the deadline being 21 September 2018.

Acceptance to present will be notified by mid October 2018.

Keynote speakers

Karthik Duraisamy, University of Michigan, USA: Machine Learning for Turbulence Modelling: Progress, Challenges and Opportunities for Future Research

Philippe Spalart, Boeing, USA: How does knowledge from DNS enter RANS models?

Maria Vittoria Salvetti, Univ. Pisa, Italy: Assessment of accuracy and reliability of LES for complex applications: deterministic vs. stochastic approaches

Paul Tucker, Univ. Cambridge, UK: Challenges and requirements of eddy resolving simulations in turbomachinery

Mujeeb R. Malik, NASA, USA: WRLES and WMLES of RCA Standard Test Cases

LocationBelgium, Brussels, at Thon Hotel EU

Hotel and travel information are available on the Symposium web site; see below.

Date: 14th to 16th November 2018

Symposium fee

The symposiumfee is 450€ - and will contain a booklet-of-abstracts, coffee breaks, lunches and a symposium dinner.

For Students and TILDA partners a reduced fee of 350€ applies.

Registration

Registration to the symposium can be carried out via the HiFiLeD Symposium

web site: https://hifiled-symposium.eu

For further information, please contact the Local Organising Committee members

Charles Hirsch, charles.hirsch@numeca.be and Werner Haase, whac@haa.se .


Do you have questions about HIGH-FIDELITY INDUSTRIAL LES/DNS Symposium - PAVING THE WAY FOR FUTURE ACCURATE CFD? Contact NUMECA Int. sa

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When & Where


Thon Hotel EU
Rue de la Loi 75
1040 Brussels
Belgium

Wednesday, 14 November 2018 at 13:00 - Friday, 16 November 2018 at 16:00 (CET)


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