Probabilistic Condition Assessment

Probabilistic Condition Assessment is a formal framework for evaluating the structural health of bridges by quantifying uncertainty in inspection data and degradation processes through probabilistic models, distinguishing it from deterministic assessment methods by explicitly incorporating variability and incomplete knowledge in condition state estimation.

210

Publications

8.8K

Citations

563

Authors

285

Institutions

Publications per year

2017–2026

86

Authors

563

  1. YN
    Yi‐Qing Ni

    Hong Kong Polytechnic University, Hong Kong SAR China

    5 publications · 462 citations

    5

    h-index

  2. TZ
    Tarek Zayed

    Hong Kong Polytechnic University, Hong Kong SAR China

    5 publications · 138 citations

    5

    h-index

  3. JD
    John Dalsgaard Sørensen

    Aalborg University, Denmark

    4 publications · 205 citations

    4

    h-index

  4. SA
    Saleh Abu Dabous

    University of Sharjah, United Arab Emirates

    4 publications · 72 citations

    4

    h-index

  5. KC
    Kumares C. Sinha

    Purdue University West Lafayette, United States

    4 publications · 307 citations

    4

    h-index

1–5 of 563

Venues

  1. Structure and Infrastructure Engineering

    15 publications · 1.3K citations

    14

    h-index

  2. 12

    h-index

  3. Engineering Structures

    11 publications · 640 citations

    11

    h-index

  4. Mechanical Systems and Signal Processing

    MSSP · 9 publications · 586 citations

    9

    h-index

  5. Journal of Bridge Engineering

    7 publications · 500 citations

    7

    h-index

1–5