Research on 3D Simulation Technology of Multi-fragment Damage Assessment Based on Distributed Computing

Aiming at the lack of multi-fragment collision detection for complex targets in damage assessment simulation, a technical solution is proposed to use open source scene graphics OSG and Bullet physics engine to combine distributed computing to solve collision detection of different fragments. A self-...

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Vydané v:International Symposium on Distributed Computing and Applications to Business, Engineering & Science (Online) s. 201 - 204
Hlavní autori: Yuan, Maocai, Li, Kun, Fan, Yujiao, Zheng, Hao, Xu, Yuchong
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 01.10.2022
Predmet:
Atmospheric modeling
Bullet Physics Engine
Collision Detection
Computational modeling
Damage Assessment
Distributed Computing
Open Source Scene Graph (OSG)
Rendering (computer graphics)
Simulation
Solid modeling
Three-dimensional displays
Visualization
ISSN:2473-3636
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Popis
Shrnutí:Aiming at the lack of multi-fragment collision detection for complex targets in damage assessment simulation, a technical solution is proposed to use open source scene graphics OSG and Bullet physics engine to combine distributed computing to solve collision detection of different fragments. A self-developed bounding box technology is proposed to construct the bounding box of multi-fragment damage elements, and the axial bounding box technology is selected to construct the bounding box of complex targets. Based on the traditional collision algorithm, a collision detection algorithm relying on distributed computing is proposed, which realizes the collision detection between tens of thousands of fragments and the target, and visualizes the damage effect after the fragments collide with the target. The simulation results show that the optimized solution can successfully achieve the target collision detection and damage assessment under the action of multiple fragments, which effectively improves the calculation efficiency and has a good rendering effect.
ISSN:2473-3636
DOI:10.1109/DCABES57229.2022.00056