60 citations · 155 across the 12 of their papers we have counts for
12 papers
Turbulence Model Development based on a Novel Method Combining Gene Expression Programming with an Artificial Neural Network
Haochen Li, Fabian Waschkowski, Yaomin Zhao +1
Data-driven methods are widely used to develop physical models, but there still exist limitations that affect their performance, generalizability and robustness. By combining gene…
Gradient Information and Regularization for Gene Expression Programming to Develop Data-Driven Physics Closure Models
Fabian Waschkowski, Haochen Li, Abhishek Deshmukh +5
Learning accurate numerical constants when developing algebraic models is a known challenge for evolutionary algorithms, such as Gene Expression Programming (GEP). This paper intro…
Compressibility Effects on the Linear-stability of Centrifugal Buoyancy-induced Flow
Deepak Saini, Richard D. Sandberg
The focus of this study is to understand the evolution of instability in centrifugal buoyancy-induced flow in a rotating system. The problem is of interest in atmospheric flows as…
Resolvent-based approach for H2-optimal estimation and control: an application to the cylinder flow
Bo Jin, Simon J. Illingworth, Richard D. Sandberg
We consider estimation and control of the cylinder wake at low Reynolds numbers. A particular focus is on the development of efficient numerical algorithms to design optimal linear…
Multi-Objective CFD-Driven Development of Coupled Turbulence Closure Models
Fabian Waschkowski, Yaomin Zhao, Richard Sandberg +1
This paper introduces two novel concepts in data-driven turbulence modeling that enable the simultaneous development of multiple closure models and the training towards multiple ob…
Data-driven algebraic models of the turbulent Prandtl number for buoyancy-affected flow near a vertical surface
Xiaowei Xu, Andrew S. H. Ooi, Richard D. Sandberg
The behaviour of the turbulent Prandtl number () for buoyancy-affected flows near a vertical surface is investigated as an extension study of {Gibson \& Leslie, \emph{Int. Co…
Optimal sensor and actuator placement for feedback control of vortex shedding
Bo Jin, Simon J. Illingworth, Richard D. Sandberg
We consider linear feedback control of the two-dimensional flow past a cylinder at low Reynolds numbers, with a particular focus on the optimal placement of a single sensor and a s…
Application of a POD-Galerkin based method to time resolved and time unresolved data for the determination of the Convective Velocity of Large-Scale Coherent Structures in High Speed Flows
Tushar Sikroria, Julio Soria, Richard Sandberg +1
Motivated by the aero-acoustic feedback loop phenomenon in high speed free jets and impinging jets, a thorough examination of a POD (Proper Orthogonal Decomposition)-Galerkin metho…
Compressibility and variable inertia effects on heat transfer in turbulent impinging jets
Jose Javier Otero Perez, Richard Sandberg
This article shows the importance of flow compressibility on the heat transfer in confined impinging jets, and how it is driven by both the Mach number and the wall heat-flux. Henc…
Feedback control of vortex shedding using a resolvent-based modelling approach
Bo Jin, Simon J. Illingworth, Richard D. Sandberg
An investigation of optimal feedback controllers' performance and robustness is carried out for vortex shedding behind a 2D cylinder at low Reynolds numbers. To facilitate controll…
Compressible Invariant Solutions In Open Cavity Flows
J. Javier Otero, Ati S. Sharma, Richard D. Sandberg
A family of compressible exact periodic solutions is reported for the first time in an open cavity flow setup. These are found using a novel framework which permits the computation…
Adjoint-based Optimal Flow Control for Compressible DNS
J. Javier Otero, Ati S. sharma, Richard D. Sandberg
A novel adjoint-based framework oriented to optimal flow control in compressible direct numerical simulations is presented. Also, a new formulation of the adjoint characteristic bo…