Probabilistic Design

Probabilistic Design is a geotechnical engineering framework that employs probability theory to quantify and manage uncertainties in soil properties, loading conditions, and performance criteria, thereby distinguishing it from deterministic design approaches by explicitly incorporating statistical variability and reliability analysis into the design process.

481

Publications

22.4K

Citations

1.1K

Authors

435

Institutions

Publications per year

2017–2026

102

Authors

1.1K

  1. BR
    Bruce R. Ellingwood

    Georgia Institute of Technology, United States

    7 publications · 143 citations

    7

    h-index

  2. MK
    Miroslav Kárný

    Czech Academy of Sciences, Institute of Information Theory and Automation, Czechia

    6 publications · 135 citations

    6

    h-index

  3. PY
    Panos Y. Papalambros

    University of Michigan, United States

    6 publications · 475 citations

    6

    h-index

  4. JV
    J.K. Vrijling

    Delft University of Technology, Netherlands

    6 publications · 253 citations

    6

    h-index

  5. CF
    Cheng‐Wei Fei

    Fudan University, China

    6 publications · 266 citations

    6

    h-index

1–5 of 1.1K

Venues

  1. Journal of the Structural Division

    10 publications · 338 citations

    10

    h-index

  2. Journal of Mechanical Design

    10 publications · 762 citations

    10

    h-index

  3. Computers and Geotechnics

    8 publications · 428 citations

    9

    h-index

  4. Journal of Structural Engineering

    9 publications · 1.1K citations

    9

    h-index

  5. Structural Safety

    7 publications · 563 citations

    8

    h-index

1–5