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
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3.4K
Citations
195
Authors
83
Institutions
Publications per year
2017–2026
34
Parents
69
Maryam Amiri, Hassan Bakhshandeh Amnieh, Mahdi Hasanipanah et al. · Engineering With Computers · 2016 · 167 citations
Aminaton Marto, Mohsen Hajihassani, Danial Jahed Armaghani et al. · The Scientific World JOURNAL · 2014 · 154 citations · Full text
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University of Sheffield
Sheffield, United Kingdom
7 h-index
22 publications
670 citations
Duy Tan University
Da Nang, Vietnam
5 h-index
6 publications
345 citations

Tarbiat Modares University
Tehran, Iran
4 h-index
5 publications
503 citations
University of Technology Malaysia
Johor Bahru, Malaysia
4 h-index
8 publications
1K citations
Guangzhou University
Guangzhou, China
3 h-index
5 publications
130 citations

Hanoi University of Mining and Geology
Hanoi, Vietnam
3 h-index
8 publications
1.1K citations
Curtin University
Perth, Australia
3 h-index
11 publications
675 citations

University of Tehran
Tehran, Iran
2 h-index
2 publications
244 citations
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7 publications · 287 citations
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5 publications · 488 citations
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3 publications · 155 citations
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2 publications · 126 citations
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