Dissertation > Excellent graduate degree dissertation topics show

Based on GPU / CPU multi- level parallel CFD Optimization Strategy

Author: MengWeiChao
Tutor: SongWenBin；LiuHong
School: Shanghai Jiaotong University
Course: Fluid Mechanics
Keywords: Computational Fluid Dynamics Kriging GPU Genetic Algorithms High Performance Computing
CLC: V221
Type: Master's thesis
Year: 2012
Downloads: 153
Quote: 0
Read: Download Dissertation

Abstract


As people on the design performance and constant pursuit of progress , the industry widely used CFD and CAA aircraft optimization algorithms . Traditional optimization strategy is to use the CFD / CAA solving and numerical methods such as gradient search algorithm based on the coupling , and then get the optimal solution, so had to face a huge amount of calculation , optimization problem difficult to implement . By constructing Kriging surrogate model optimization strategy to implement a flexible selection of the aircraft 's large-scale, multi- parameter optimization has become more commonly used optimization methods aviation . However, the number of variables to be optimized and the sample points increase , due to the use of CFD / CAA calculated for each sample point corresponds to the target value , build surrogate model was significantly increased . While the optimal value based on response surface search time required to grow significantly. Kriging surrogate model for the use of aircraft during optimization CFD / CAA calculations, build Kriging surrogate model , Memetic algorithm searches for the calculation of the three phases of the bottleneck , the paper through the use of GPU CPU heterogeneous computing technology to design effective algorithms . Our GPU architecture for the design of efficient construction methods and Kriging surrogate model optimization search algorithm , the results show that the model constructed Kriging surrogate available 220 ??doubly ratio , doubly search algorithm up to 8 ratio . Meanwhile our tube sound propagation , for example, for computational aeroacoustics high order compact format in the GPU and clusters to achieve that GPU-accelerated computing cluster in achieving the same efficiency and lower power consumption .

Related Dissertations

  1. Development of the on-line Training and Examination System of Army,TP311.52
  2. Designs and Applications of Fuzzy Synthetic Evaluation Models Based on Parallel Algorithms,TP18
  3. Visual Feedback and Memory Behavior Based GPU Parallel Ant Colony Algorithm,TP301.6
  4. Study on Combustible Gas Leakageage and Diffusion by CFD Simulation,X937
  5. Based on Genetic Algorithm Pishihang irrigation canal water allocation marshalling model of,S274
  6. Genetic Algorithm in logistics and warehousing Optimization Research,F259.2
  7. Mining resources based on genetic algorithm optimization model of,O224
  8. Based on Pro/E Reconstruct Sprinkler Structure and Investigations on Internal Flow Characteristic of the Sprinkler by Numerical Simulation and Experiment Methods,TP391.72
  9. The Research and Application of Modified Algorithms About Fuzzy Predictive Functional Control,TP273
  10. Optimal Control of Emulsion System in Cold Rolling,TP273
  11. Research on the Marshalling-scheduling Model and Algorithms of Freight Trains Based on Game Theory,O225
  12. Theoretical Study and Simulation of Hydrocyclone Separator,TH237.5
  13. Multi-directional Mutation Genetic Algorithm and Research on Neural Network Optimization,TP18
  14. The Application of Using Genetic Algorithms on Universities Course-arranging System,TP18
  15. Research on Mobile Robot Path Planning and Simulation Realization,TP242
  16. Research on Routing Algorithmin Sensor Networks Based on Cluster with Mobile Sink,TP212.9
  17. Research and Implement of the Theme Crawler for Automotive Industry,TP391.3
  18. The Research and Implement on Camera Calibration Technology Based on Trifocal Tensor,TP391.41
  19. Decision Support System of Vehicle Scheduling in Double Level Garage,TP242
  20. The Studies on Some Improvements of the GA and Their Applications in SVM,TP18
  21. A Reduction Method for Artificial Neural Network Inputs Based on An Improved Genetic Algorithm,TP18

CLC: > Aviation, aerospace > Aviation > Aircraft Construction and Design > Overall design
© 2012 www.DissertationTopic.Net  Mobile