TY - GEN
T1 - Aero-structure Coupled Optimization for High Aspect Ratio Wings Using Multi-model Fusion Method
AU - Tang, Yifan
AU - Sun, Jing
AU - Long, Teng
AU - Wang, Yan
AU - Shi, Renhe
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - To effectively solve the aero-structure coupled optimization problem of high aspect ratio wings, a multi-model fusion method is enhanced and utilized in this paper. First, considerable efforts are spent on aero-structure coupled analysis using computational fluid dynamic (CFD) and finite element analysis (FEA) methods with various levels of fidelity (i.e., coarse and fine grids). Then a multi-model fusion method (MMF) is developed to improve the efficiency of aero-structure coupled optimization. The enhanced multi-model fusion method integrates the limited high-fidelity (HF) simulations with a large number of low-fidelity (LF) simulations to create a surrogate model with preferable accuracy. Moreover, the multi-model fusion based aero-structure coupled optimization strategy is proposed. Finally, the proposed optimization strategy is tested by solving a high aspect ratio wing aero-structure coupled optimization problem. After optimization, the overall performance including lift-drag ratio and structure weight is significantly improved. Compared with Kriging-based optimization method using pure high fidelity model, the multi-model fusion based optimization can achieve a better optimization result under the same computational cost, which illustrates the effectiveness of the proposed multi-model fusion based optimization strategy in solving aero-structure coupled optimization problems of high aspect ratio wings.
AB - To effectively solve the aero-structure coupled optimization problem of high aspect ratio wings, a multi-model fusion method is enhanced and utilized in this paper. First, considerable efforts are spent on aero-structure coupled analysis using computational fluid dynamic (CFD) and finite element analysis (FEA) methods with various levels of fidelity (i.e., coarse and fine grids). Then a multi-model fusion method (MMF) is developed to improve the efficiency of aero-structure coupled optimization. The enhanced multi-model fusion method integrates the limited high-fidelity (HF) simulations with a large number of low-fidelity (LF) simulations to create a surrogate model with preferable accuracy. Moreover, the multi-model fusion based aero-structure coupled optimization strategy is proposed. Finally, the proposed optimization strategy is tested by solving a high aspect ratio wing aero-structure coupled optimization problem. After optimization, the overall performance including lift-drag ratio and structure weight is significantly improved. Compared with Kriging-based optimization method using pure high fidelity model, the multi-model fusion based optimization can achieve a better optimization result under the same computational cost, which illustrates the effectiveness of the proposed multi-model fusion based optimization strategy in solving aero-structure coupled optimization problems of high aspect ratio wings.
KW - Kriging
KW - aero-structure coupled optimization
KW - multi-model fusion method
UR - http://www.scopus.com/inward/record.url?scp=85084289887&partnerID=8YFLogxK
U2 - 10.1109/CYBER46603.2019.9066584
DO - 10.1109/CYBER46603.2019.9066584
M3 - Conference contribution
AN - SCOPUS:85084289887
T3 - 9th IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, CYBER 2019
SP - 1107
EP - 1114
BT - 9th IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, CYBER 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, CYBER 2019
Y2 - 29 July 2019 through 2 August 2019
ER -