Topics
fluid-structure interactionConvention
CzechPlace
project ”Fast flow-field prediction using deep neural networks for solving fluid-structure interaction problems” GA21-31457S of the Grant Agency of the Czech Republic, the internal student grant project SGS-2019-00
The increased need to design higher performing aerodynamic shapes has led to design optimisation cyc...
In this study, we propose an encoder–decoder convolutional neural network-based approach for estimat...
project "Centre of research and experimental development of reliable energy production" TE01020068 o...
project ”Fast flow-field prediction using deep neural networks for solving fluid-structure interact...
This paper is concerned with fast flow field prediction in a blade cascade for variable blade shapes...
Optimization methods have been widely applied to the aerodynamic design of gas turbine blades. While...
Aerodynamic shape optimization of gas turbine blades is a very challenging task, given e.g. the flow...
Alaminar flow optimization scheme for fan blade profiles is studied. The first step is to parameteri...
A study to analyze the efficacy of two novel, state-of-the-art deep learning methods used in flow-fi...
An optimization methodology based on neural networks was developed for use in 2D optimal shape desig...
A novel technique to accelerate optimization-driven aerodynamic shape design is presented in the pap...
A novel technique to accelerate optimization-driven aerodynamic shape design is presented in the pap...
The purpose of this research was to develop a searchable, expandable database of compressor blade pr...
This paper presents a description of the method and results of rotor blade shape optimization. The r...
This work proposes a novel multi-output neural network for the prediction of the lift coefficient of...
The increased need to design higher performing aerodynamic shapes has led to design optimisation cyc...
In this study, we propose an encoder–decoder convolutional neural network-based approach for estimat...
project "Centre of research and experimental development of reliable energy production" TE01020068 o...
project ”Fast flow-field prediction using deep neural networks for solving fluid-structure interact...
This paper is concerned with fast flow field prediction in a blade cascade for variable blade shapes...
Optimization methods have been widely applied to the aerodynamic design of gas turbine blades. While...
Aerodynamic shape optimization of gas turbine blades is a very challenging task, given e.g. the flow...
Alaminar flow optimization scheme for fan blade profiles is studied. The first step is to parameteri...
A study to analyze the efficacy of two novel, state-of-the-art deep learning methods used in flow-fi...
An optimization methodology based on neural networks was developed for use in 2D optimal shape desig...
A novel technique to accelerate optimization-driven aerodynamic shape design is presented in the pap...
A novel technique to accelerate optimization-driven aerodynamic shape design is presented in the pap...
The purpose of this research was to develop a searchable, expandable database of compressor blade pr...
This paper presents a description of the method and results of rotor blade shape optimization. The r...
This work proposes a novel multi-output neural network for the prediction of the lift coefficient of...
The increased need to design higher performing aerodynamic shapes has led to design optimisation cyc...
In this study, we propose an encoder–decoder convolutional neural network-based approach for estimat...
project "Centre of research and experimental development of reliable energy production" TE01020068 o...
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