Estimation of turbulence closure coefficients for data centers using machine learning algorithms

Keyphrases

• Machine Learning Algorithms 100%
• Turbulence Closure 100%
• Closure Coefficient 100%
• Model Constant 100%
• Turbulence Model 80%
• Turbulence 40%
• Simple Configuration 40%
• Complex Flow 20%
• Two Dimensional 20%
• Artificial Neural Network 20%
• Parameter Identification 20%
• Pressure Gradient 20%
• Flow Characteristics 20%
• Root Mean Square Error 20%
• Neural Network Method 20%
• Cell Calculation 20%
• Three-dimensionality 20%
• CFD Calculations 20%
• Dimensional Analysis 20%
• Temperature Value 20%
• CFD Model 20%
• RMS Error 20%
• Two-equation Turbulence Model 20%
• Coefficient Model 20%
• Test Cell 20%

Engineering

• Machine Learning Algorithm 100%
• Model Constant 100%
• Computational Fluid Dynamics 40%
• Measured Temperature 40%
• Experimental Measurement 20%
• Engineering 20%
• Dimensionality 20%
• Two Dimensional 20%
• Artificial Neural Network 20%
• Pressure Gradient 20%
• Flow Characteristics 20%
• Simulated Data 20%
• Root Mean Square Error 20%
• Optimal Value 20%
• Dimensional Analysis 20%
• Equation Turbulence Model 20%
• Test Cell 20%
• Average Absolute Error 20%