CRMay 5

On Digital Twins in Defence: Overview and Applications

arXiv:2508.057174.8h-index: 19
Predicted impact top 74% in CR · last 90 daysOriginality Synthesis-oriented
AI Analysis

For defense practitioners and researchers, this paper provides a structured overview and identifies gaps, but it is a literature review with no novel technical contributions.

This paper reviews digital twin applications in defense modeling and simulation, proposing a unified framework and taxonomy for defense-specific use cases. It identifies key challenges such as interoperability, security, and system integration based on a stakeholder questionnaire.

Digital twins have emerged as a transformative technology for modeling and simulation in various industries, including defense. This paper provides a comprehensive review of digital twin applications in defense modeling and simulation, focusing on how digital twins can enhance simulation fidelity, interoperability, and decision support within defense systems. We consolidate existing research into a unified framework that links digital twin concepts, simulation-driven application, and real-world deployment in defense scenarios. We discuss the role of digital twin in applications like planning, training, execution and monitoring, and debriefing. We introduce a standardized digital twin characterization framework suitable for defense application that aligns with industrial modeling and simulation standards, and present a taxonomy of defense specific use cases, highlighting recurring requirements. Additionally, practical evidence is provided from a targeted questionnaire distributed to defense stakeholders and Ministries of Defense, revealing current challenges in digital twin integration and deployment. Finally, we conclude by identifying key gaps in digital twins application for defense modeling and simulation, including interoperability, security, and system integration, and we outline future research directions and development opportunities. This review aims to inform defense modeling and simulation practitioners and researchers, guiding future work on digital twin design, implementation and deployment across defense applications.

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