Predictive Blast Modeling

Predictive Blast Modeling is a computational method that belongs to the class of blast design techniques, distinguished by its use of numerical simulations and empirical data to forecast the effects of explosive detonations on structures and materials with the aim of optimizing safety and performance in engineering applications.

69

Publications

3.4K

Citations

195

Authors

83

Institutions

Publications per year

2017–2026

34

Authors

195

  1. DJ
    Danial Jahed Armaghani

    University of Technology Malaysia, Malaysia

    8 publications · 631 citations

    8

    h-index

  2. MH
    Mahdi Hasanipanah

    Duy Tan University, Vietnam

    6 publications · 465 citations

    6

    h-index

  3. SR
    S.E. Rigby

    University of Sheffield, United Kingdom

    6 publications · 163 citations

    6

    h-index

  4. JJ
    Jordan J Pannell

    University of Sheffield, United Kingdom

    4 publications · 152 citations

    4

    h-index

  5. MK
    Manoj Khandelwal

    Federation University, Australia

    4 publications · 310 citations

    4

    h-index

1–5 of 195

Venues

  1. International Journal of Protective Structures

    7 publications · 287 citations

    7

    h-index

  2. Engineering With Computers

    5 publications · 488 citations

    5

    h-index

  3. Engineering Structures

    3 publications · 114 citations

    3

    h-index

  4. Process Safety Progress

    3 publications · 155 citations

    3

    h-index

  5. 2

    h-index

1–5