Richard D. Sandberg

According to our database, Richard D. Sandberg authored at least 15 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Accelerating evolutionary exploration through language model-based transfer learning.

Maximilian Reissmann, Yuan Fang, Andrew S. H. Ooi, Richard D. Sandberg

CoRR, 2024

2022

Multi-objective CFD-driven development of coupled turbulence closure models.

Fabian Waschkowski, Yaomin Zhao, Richard D. Sandberg, Joseph Klewicki

J. Comput. Phys., 2022

2021

Two Dimensional Analysis of Hybrid Spectral/Finite Difference Schemes for Linearized Compressible Navier-Stokes Equations.

Raynold Tan, Andrew Ooi, Richard D. Sandberg

J. Sci. Comput., 2021

Application of Gene Expression Programming to a-posteriori LES modeling of a Taylor Green Vortex.

Maximilian Reissmann, Josef Hasslberger, Richard D. Sandberg, Markus Klein

J. Comput. Phys., 2021

2020

RANS turbulence model development using CFD-driven machine learning.

Yaomin Zhao, Harshal D. Akolekar, Jack Weatheritt, Vittorio Michelassi, Richard D. Sandberg

J. Comput. Phys., 2020

2019

A framework to develop data-driven turbulence models for flows with organised unsteadiness.

Chitrarth Lav, Richard D. Sandberg, Jimmy Philip

J. Comput. Phys., 2019

2018

Application of an evolutionary algorithm to LES modelling of turbulent transport in premixed flames.

Matthias Schoepplein, Jack Weatheritt, Richard D. Sandberg, Mohsen Talei, Markus Klein

J. Comput. Phys., 2018

2017

The boundary data immersion method for compressible flows with application to aeroacoustics.

Stefan C. Schlanderer, Gabriel D. Weymouth, Richard D. Sandberg

J. Comput. Phys., 2017

2016

A novel evolutionary algorithm applied to algebraic modifications of the RANS stress-strain relationship.

Jack Weatheritt, Richard D. Sandberg

J. Comput. Phys., 2016

Iterative learning control applied to a non-linear vortex panel model for improved aerodynamic load performance of wind turbines with smart rotors.

Mark Blackwell, Owen R. Tutty, Eric Rogers, Richard D. Sandberg

Int. J. Control, 2016

2015

Iterative learning control for load control of smart turbine blades with variable rotation rates.

Owen R. Tutty, Mark Blackwell, Eric Rogers, Richard D. Sandberg

Proceedings of the American Control Conference, 2015

2014

Iterative Learning Control for Improved Aerodynamic Load Performance of Wind Turbines With Smart Rotors.

Owen R. Tutty, Mark Blackwell, Eric Rogers, Richard D. Sandberg

IEEE Trans. Control. Syst. Technol., 2014

Computational fluid dynamics based iterative learning control for smart rotor enabled fatigue load reduction in wind turbines.

Mark Blackwell, Owen R. Tutty, Eric Rogers, Richard D. Sandberg

Proceedings of the American Control Conference, 2014

2013

Iterative learning control of wind turbine smart rotors with pressure sensors.

Owen R. Tutty, Mark Blackwell, Eric Rogers, Richard D. Sandberg

Proceedings of the American Control Conference, 2013

2012

Computational fluid dynamics based iterative learning control of peak loads in wind turbines.

Owen R. Tutty, Mark Blackwell, Eric Rogers, Richard D. Sandberg

Proceedings of the 51th IEEE Conference on Decision and Control, 2012