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Real-time simulation and prognosis of smoke propagation in compartments using a GPU / Anne Küsters. Jülich : Forschungszentrum Jülich GmbH, Zentralbibliothek, Verlag, [2018] ; copyright 2018
Content
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Introduction
Motivation
Challenges
State of the Art
Computational Resources
Integrated Tools in Fire Safety Engineering
Research Projects
Objectives, Limitations and Approach
Thesis Outline
Methodology
Physical Processes of Smoke Propagation
Boundary Handling
Turbulence Modeling
Fire Modeling
Numerical Models of Fluid Dynamics
Numerical Grid
Discretization Method
Finite Difference Approximations
Solution Method
Uncertainties and Errors in CFD
Unacknowledged Errors
Acknowledged Errors
Simulation of Smoke Propagation on CPU
Code Structure Using Interfaces
Extension to Complex Geometries in 3D
From 2D to 3D domains
Inner and Outer Boundary Handling
Intermediate Code Testing via Unit Tests
Unit Test Advection
Unit Test Diffusion
Unit Test Pressure
Verification and Validation
Verification of the Implementation
Analytical Verification Scenarios
Semi-Analytical Verification Scenarios
Validation of the Underlying Model
Fire Induced Flow Experiment in a Compartment
Open Plume Experiment Using Particle Image Velocimetry
Summary
Towards Real-Time and Prognosis Simulation Using a GPU
Porting to GPU Using OpenACC
Parallelization of the CPU Implementation
Optimization of the GPU Implementation
Performance Portability Analysis
Roofline Model
Measurement Setup
Theoretical and Measured Arithmetic Intensity
Performance Portability Results
Summary
Analysis of the Real-time and Prognosis Software
Speedup Analysis
Runtime Performance of Used Cases
Fire Induced Flow Experiment in a Compartment
Open Plume Experiment Using Particle Image Velocimetry
Real-Time and Prognosis Analysis
Summary
Closing Remarks
Conclusions
Societal Benefit and Value-add for Research Community
Main Contributions and Limitations
Outlook
Appendix Compiling, Developing and Running the Software
Requirements and Code Compilation
Minimum requirements
Compiling the code
Code Development and Testing
Software Usage and Restrictions
Appendix Detailed Input Data of Test Cases
Advection Test Case
Artificial Diffusion Test Case
Diffusion Test Case
Diffusion (Hat) Test Case
Pressure Test Case
McDermott Test Case
Vortex Test Case
Lid-Driven Cavity Flow
Flow Around a Cube
Fire Induced Flow Experiment in a Compartment
Open Plume Experiment Using Particle Image Velocimetry
Tunnel Simulation for Real-time and Prognosis Analysis
Nomenclature
Bibliography
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