Stochastic Modal Analysis

Stochastic Modal Analysis is a computational framework within modal analysis that incorporates probabilistic methods to account for uncertainties in system parameters, thereby enabling the prediction of statistical distributions of modal properties such as natural frequencies, mode shapes, and damping ratios.

42

Publications

1.7K

Citations

115

Authors

68

Institutions

Publications per year

2017–2026

12

Authors

115

  1. KX
    Kang Xu

    Central South University, China

    1 publications · 21 citations

    2

    h-index

  2. JK
    Jie Kang

    Beijing Institute of Technology, China

    2 publications · 39 citations

    2

    h-index

  3. OD
    O. Dessombz

    École Centrale de Lyon, France

    2 publications · 40 citations

    2

    h-index

  4. SD
    Spilios D. Fassois

    University of Patras, Greece

    2 publications · 53 citations

    2

    h-index

  5. KZ
    Kang Zhou

    City University of Hong Kong, Hong Kong SAR China

    1 publications · 21 citations

    2

    h-index

1–5 of 115

Venues

  1. Journal of Sound and Vibration

    JSV · 8 publications · 285 citations

    8

    h-index

  2. Mechanical Systems and Signal Processing

    MSSP · 4 publications · 193 citations

    4

    h-index

  3. Journal of Engineering Mechanics

    2 publications · 29 citations

    2

    h-index

  4. 2

    h-index

  5. Engineering Structures

    1 publications · 22 citations

    2

    h-index

1–5