Adaptive Shape Functions

Adaptive Shape Functions is a computational framework in finite element analysis that dynamically modifies its basis functions during simulation to better capture local solution features, distinguishing itself from static shape functions through its ability to adapt to evolving solution characteristics such as gradients or singularities.

52

Publications

2.4K

Citations

146

Authors

99

Institutions

Publications per year

2017–2026

11

Authors

146

  1. GW
    Guirong Weng

    Soochow University, China

    3 publications · 118 citations

    3

    h-index

  2. ER
    E. Rank

    Technical University of Munich, Germany

    2 publications · 126 citations

    2

    h-index

  3. JH
    J.P.M. Hoefnagels

    Eindhoven University of Technology, Netherlands

    2 publications · 42 citations

    2

    h-index

  4. AU
    Aurelio Uncini

    Sapienza University of Rome, Italy

    2 publications · 28 citations

    2

    h-index

  5. CV
    Clemens V. Verhoosel

    Eindhoven University of Technology, Netherlands

    2 publications · 42 citations

    2

    h-index

1–5 of 146

Venues

  1. 7

    h-index

  2. 2

    h-index

  3. Advances in Engineering Software

    2 publications · 87 citations

    2

    h-index

  4. Computers & Mathematics with Applications

    1 publications · 11 citations

    1

    h-index

  5. Smart Materials and Structures

    SMS · 1 publications · 108 citations

    1

    h-index

1–5