Bluff Body Flow Control Using a Genetic Algorithm Optimization
Konferensbidrag (offentliggjort, men ej förlagsutgivet), 2019

This first preliminary study highlights few important
points:
• ML techniques applied to flow control show impressive
and sometimes surprising results concerning actuation
strategies
• A very weak actuation applied at the front rounded cor-
ner of the body is able to strongly influence the body
wake
and sets the starting point for the following future steps:
• The backtracking of the evolution results finding pat-
terns to explain the flow physics brought by the actuation
• The application of the GA to a 3D geometry
• The application of a linear genetic programming (LGP)
to generate a higher degree of freedom actuation signal

Författare

Guglielmo Minelli

Chalmers, Mekanik och maritima vetenskaper, Strömningslära

Tianyun Dong

Key Laboratory of Traffic Safety on Track of Ministry of Education, School of Traffic & Transportation Engineering, Central South University

Bernd R. Noack

Sinisa Krajnovic

Chalmers, Mekanik och maritima vetenskaper, Strömningslära

European Drag Reduction and Flow Control Meeting - EDRFCM 2019
Bad Herrenalb, Germany,

Artificiell intelligence och strömningskontroll: en automatisering av anpassad fordonsaerodynamik

Chalmers, 2018-11-01 -- 2018-12-31.

Styrkeområden

Transport

Ämneskategorier

Beräkningsmatematik

Strömningsmekanik och akustik

Reglerteknik

Mer information

Skapat

2019-07-11