TY - GEN
T1 - An efficient method of aerodynamic shape optimization assisted by aerodynamic database
AU - Liu, Min
AU - Han, Zhong Hua
AU - Fu, Chen
AU - Song, Wen Ping
N1 - Publisher Copyright:
© 2018, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.
PY - 2018
Y1 - 2018
N2 - The management and reuse of aerodynamic data is of great significance for computational fluid dynamics (CFD)-based analysis and design optimization. Based on eXtensible Markup Language (XML) document, a general aerodynamic database is established, which realizes management and reuse of aerodynamic data. On the basis of surrogate based optimization (SBO), an efficient method of aerodynamic shape optimization assisted by aerodynamic database is proposed, which contains two new database-assisted optimization strategies. The first one is the database-assisted quick design, which can generate optimal design just in seconds without any additional CFD evaluation. The result of quick design is almost same with a 50 CFD evaluations’ SBO result. The second strategy is the database-assisted optimization based on hierarchical kriging (HK) model, which can accelerate the original SBO. This strategy converged to the best solution quickly with only 40% computational cost compared to SBO. It is proved to be robust and efficient by a rudder optimization test case. These cases show that the proposed method has great potential to become a useful optimization tool for detailed design of aircraft in the future.
AB - The management and reuse of aerodynamic data is of great significance for computational fluid dynamics (CFD)-based analysis and design optimization. Based on eXtensible Markup Language (XML) document, a general aerodynamic database is established, which realizes management and reuse of aerodynamic data. On the basis of surrogate based optimization (SBO), an efficient method of aerodynamic shape optimization assisted by aerodynamic database is proposed, which contains two new database-assisted optimization strategies. The first one is the database-assisted quick design, which can generate optimal design just in seconds without any additional CFD evaluation. The result of quick design is almost same with a 50 CFD evaluations’ SBO result. The second strategy is the database-assisted optimization based on hierarchical kriging (HK) model, which can accelerate the original SBO. This strategy converged to the best solution quickly with only 40% computational cost compared to SBO. It is proved to be robust and efficient by a rudder optimization test case. These cases show that the proposed method has great potential to become a useful optimization tool for detailed design of aircraft in the future.
UR - http://www.scopus.com/inward/record.url?scp=85141603499&partnerID=8YFLogxK
U2 - 10.2514/6.2018-04801
DO - 10.2514/6.2018-04801
M3 - 会议稿件
AN - SCOPUS:85141603499
SN - 9781624105326
T3 - AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2018
BT - AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials
PB - American Institute of Aeronautics and Astronautics Inc, AIAA
T2 - AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2018
Y2 - 8 January 2018 through 12 January 2018
ER -