Projectile Penetration into Calcareous Sand Subgrade Airport Runway Pavement with Genetic Algorithm Optimization
Chucai Peng, Jingnan Huang, Xichen Sun, Yifei Nan, Yaohui Chen, Kun Chen, Jun Feng · 2024
Read Projectile Penetration into Calcareous Sand Subgrade Airport Runway Pavement with Genetic Algorithm Optimization by Chucai Peng, Jingnan Huang, Xichen Sun, Yifei Nan, Yaohui Chen, Kun Chen, Jun Feng (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11642444.txt.
Description
Chucai Peng and co-authors model in this 2024 study how a projectile punches into an island airport runway. Runways face cluster munition attack, and damage depth drives repair plans. The team builds the runway in a particle-based simulation: concrete slab on top, calcareous sand below, each grain bound by rules tuned against lab crush tests.
Single-layer shots matched real depth and slowdown data within about six percent, which validated the tool. Full runway runs then varied shell weight, slab thickness, and speed. A neural network proxy learned the results for fast forecasts. A genetic search on top then found the critical speed at which a shell just breaks through, the worst case for later blast damage.
Catalog record
| CREATOR | Chucai Peng, Jingnan Huang, Xichen Sun, Yifei Nan, Yaohui Chen, Kun Chen, Jun Feng |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 41 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |