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

Authors

66

  1. YW
    Yuanlong Wang

    Nanjing University of Aeronautics and Astronautics, China

    2 publications · 150 citations

    2

    h-index

  2. GZ
    Guan Zhou

    Nanjing University of Aeronautics and Astronautics, China

    2 publications · 150 citations

    2

    h-index

  3. WZ
    Wanzhong Zhao

    Nanjing University of Aeronautics and Astronautics, China

    2 publications · 150 citations

    2

    h-index

  4. XL
    Xiaojiang Lv

    Geely (China), China

    2 publications · 39 citations

    2

    h-index

  5. LS
    Lin Sang

    Dalian University of Technology, China

    1 publications · 16 citations

    1

    h-index

1–5 of 66

Venues

  1. International Journal of Crashworthiness

    4 publications · 110 citations

    4

    h-index

  2. Composite Structures

    2 publications · 210 citations

    2

    h-index

  3. 1

    h-index

  4. Composites Part B Engineering

    1 publications · 96 citations

    1

    h-index

  5. PORTO Publications Open Repository TOrino (Politecnico di Torino)

    Repository · 1 publications · 11 citations

    1

    h-index

1–5