Multi-objective Bumper Optimization
Multi-Objective Bumper Optimization is a computational design methodology that systematically balances competing performance criteria—such as crashworthiness, weight reduction, cost efficiency, and pedestrian safety—in the development of automotive bumper systems through simultaneous optimization of multiple conflicting objectives.
18
Publications
731
Citations
66
Authors
27
Institutions
Publications per year
2017–2026
10
Parents
18
Optimization of Design Utility
Deborah Thurston, James V. Carnahan, Tao Liu · Journal of Mechanical Design · 1994 · 86 citations
1–5 of 18
66
Nanjing University of Aeronautics and Astronautics, China
2 publications · 150 citations
2
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2
h-index
Nanjing University of Aeronautics and Astronautics, China
2 publications · 150 citations
2
h-index
2
h-index
1
h-index
1–5 of 66
27

Hunan University
Changsha, China
4 h-index
14 publications
453 citations

Shanghai Jiao Tong University
Shanghai, China
2 h-index
4 publications
491 citations

Nanjing University of Aeronautics and Astronautics
Nanjing, China
2 h-index
9 publications
696 citations
Geely (China)
Hangzhou, China
2 h-index
3 publications
57 citations
Dalian University of Technology
Dalian, China
2 h-index
7 publications
157 citations
RMIT University
Melbourne, Australia
1 h-index
2 publications
36 citations
D2S International (Belgium)
Leuven, Belgium
1 h-index
2 publications
52 citations
KU Leuven
Leuven, Belgium
1 h-index
4 publications
104 citations
1–8 of 27
4 publications · 110 citations
4
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2 publications · 210 citations
2
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1 publications · 12 citations
1
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1 publications · 96 citations
1
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Repository · 1 publications · 11 citations
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1–5