Journal
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
Volume 44, Issue 1, Pages 111-124Publisher
SPRINGER
DOI: 10.1007/s00158-010-0596-5
Keywords
Multi-fidelity optimization; Response surface method (RSM); Sheet-metal forming; Drawbead design; Multiobjective optimization; Moving least squares (MLS)
Categories
Funding
- National Science Foundation of China [60635020, 10902037]
- Hunan University
- National 973 Project of China [2010CB328005]
- Outstanding Youth Foundation [50625519]
- China Scholarship Council (CSC)
Ask authors/readers for more resources
Traditional design optimization for industry problems often requires many runs of costly high-fidelity finite element models. Multi-fidelity techniques offer a means to reducing prohibitive computational cost by combining cheap low-fidelity analyses with more accurate but more expensive high-fidelity solutions. This paper proposes a two-stage multi-fidelity method to better compromise the uses of low-fidelity and high-fidelity solutions. A correction response surface (RS) was first constructed based on the ratio or difference between high-fidelity and low-fidelity solutions at fewer sample points. Then the low-fidelity analysis is further replaced by a moving least square (MLS) approximation to enhance its accuracy. To demonstrate the present design procedure, multiobjective optimization of draw-bead restraining forces for an automobile inner panel is exemplified herein, where the high-fidelity model employs an incremental solver, while the low-fidelity model adopts a one-step solver. The results significantly improved the computational efficiency and accuracy of optimizing sheet-metal formability without wrinkle and fracture.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available