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    Method for damage effectiveness assessment of aircraft carrier deck operating personnel

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    https://www.riss.kr/link?id=A110377249

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    The aircraft carrier flight deck is a core area for naval aviation operations, where personnel are exposed to multiple threats such as blast waves, fragments, and thermal damage during high-intensity combat. The coupling between personnel survivability and deck-operations efficiency directly determines the sortie rate of carrierbased aircraft and the overall combat capability of the fleet. This study proposes a multi-scale coupled assessment model that integrates deck functional zoning and personnel distribution modeling, multi-physical damage mechanisms, and spatiotemporal damage propagation. The deck is discretized into a number of elements to establish a "personnel-task-space" mapping relationship. By integrating multi-physical damage mechanisms and combining the Probit model with Monte Carlo random sampling, a spatiotemporal dynamic assessment of personnel damage is achieved. Principal component analysis is employed to identify high-risk positions and damage hotspots, providing theoretical and methodological support for enhancing the resilience assessment and scheduling optimization of deck operations in damage-prone environments.
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    The aircraft carrier flight deck is a core area for naval aviation operations, where personnel are exposed to multiple threats such as blast waves, fragments, and thermal damage during high-intensity combat. The coupling between personnel survivabilit...

    The aircraft carrier flight deck is a core area for naval aviation operations, where personnel are exposed to multiple threats such as blast waves, fragments, and thermal damage during high-intensity combat. The coupling between personnel survivability and deck-operations efficiency directly determines the sortie rate of carrierbased aircraft and the overall combat capability of the fleet. This study proposes a multi-scale coupled assessment model that integrates deck functional zoning and personnel distribution modeling, multi-physical damage mechanisms, and spatiotemporal damage propagation. The deck is discretized into a number of elements to establish a "personnel-task-space" mapping relationship. By integrating multi-physical damage mechanisms and combining the Probit model with Monte Carlo random sampling, a spatiotemporal dynamic assessment of personnel damage is achieved. Principal component analysis is employed to identify high-risk positions and damage hotspots, providing theoretical and methodological support for enhancing the resilience assessment and scheduling optimization of deck operations in damage-prone environments.

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