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Journal of System Simulation

Abstract

Abstract: To address the limitations of incomplete physical modeling, low computational efficiency, fragmented simulation workflows, and insufficient visual immersion in existing damage simulations of fragment warheads, this paper proposes and develops a physics-driven, high-efficiency visualization platform for warhead-target engagement and damage assessment. The platform implements a full-chain, closed-loop simulation framework covering scenario configuration, force-field computation, fragment dispersion, warhead-target intersection, and damage evaluation. A finite element-discrete element (JK2024-06) coupled dynamics framework is established, integrating a detonation model, shell expansion correction, and fragment velocity inheritance to accurately reproduce the complete dynamic process from detonation to dispersion. A three-level acceleration algorithm based on a hierarchical bounding volume structure is designed and combined with CPU-GPU heterogeneous computing, achieving an overall speedup of 103-104 and maintaining sub-millimeter time-discretization and geometric-tolerance errors, enabling millisecond-level precise engagement between millions of fragments and complex targets. By incorporating multiple damage criteria and leveraging the Three.js engine for real-time coupling of physical computation and 3D rendering, the platform supports dynamic visualization of fragment kinematics, engagement information, and multi-type damage contour maps. Simulation studies on a typical focused warhead, together with comparisons against published data, verify the platform's significant advantages in accuracy, efficiency, and extensibility. The proposed platform provides a reliable and versatile tool for warhead design and target damage assessment.

First Page

2629

Last Page

2646

CLC

TP391.9; TJ414.+1

Recommended Citation

Cui Yidan, Ke Jingyao, Zheng Yufeng, et al. Physics-driven Efficient Simulation Platform for Warhead- target Engagement and Damage Assessment[J]. Journal of System Simulation, 2026, 38(9): 2629-2646.

Corresponding Author

Xue Kun

DOI

10.16182/j.issn1004731x.joss.25-1034

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