Robust Structural Optimization

Robust Structural Optimization is a formal optimization framework within structural engineering that extends deterministic structural optimization by explicitly accounting for uncertainties in loading, material properties, and geometry to yield designs that are insensitive to variations and perform reliably under real-world conditions.

201

Publications

12.1K

Citations

473

Authors

203

Institutions

Publications per year

2017–2026

80

Authors

473

  1. XW
    Xiaojun Wang

    Beihang University, China

    7 publications · 203 citations

    7

    h-index

  2. IE
    Isaac Elishakoff

    Florida Atlantic University, United States

    5 publications · 718 citations

    5

    h-index

  3. AC
    A. Csébfalvi

    University of Pecs, Hungary

    4 publications · 97 citations

    4

    h-index

  4. ZL
    Zhenyu Liu

    Zhejiang University, China

    4 publications · 134 citations

    4

    h-index

  5. YK
    Yoshihiro Kanno

    The University of Tokyo, Japan

    4 publications · 118 citations

    4

    h-index

1–5 of 473

Venues

  1. 21

    h-index

  2. Structural and Multidisciplinary Optimization

    28 publications · 1K citations

    19

    h-index

  3. Computers & Structures

    13 publications · 629 citations

    12

    h-index

  4. Composite Structures

    10 publications · 284 citations

    10

    h-index

  5. 9

    h-index

1–5