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Rapid Operational Access and Maneuver Support platform for military logistics and operation planning in water environments

机译:快速作战通道和机动支持平台,用于水环境中的军事后勤和作战计划

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摘要

Logistical and combat operations in riverine, estuarine, and coastal environments remain a key military focus due to limited maneuverability, imperfect knowledge, and rapidly changing constraints. Vessel operation in water environments can be enhanced by routing algorithms that integrate mission parameters with environmental data and vessel specifications. These algorithms must update predetermined routes in a timely manner as parameters and specifications change. The US Army Engineer Research and Development Center Coastal and Hydraulics Laboratory is developing the capability for military planners to rapidly optimize vessel routes in water environments by extending capabilities of the Rapid Operational Access and Maneuver Support (ROAMS) modeling platform. The ROAMS platform allows users to rapidly generate models of a water environment in limited-information conditions, utilizing the Adaptive Hydraulics and STeady-state spectral WAVE computational engines for the base two-dimensional hydrodynamics and waves, respectively. Routing capabilities are built on path search and penalty-barrier optimization to automatically produce routes that account for temporally changing environmental variables and vessel maneuverability. This work outlines the components of the ROAMS routing package and presents a case study using ROAMS in a northeastern American metropolitan area. Benefits and limitations of the ROAMS routing platform are discussed and future improvements are suggested.
机译:由于机动性有限,知识不完善以及约束条件迅速变化,在河流,河口和沿海环境中的后勤和作战行动仍然是军事重点。通过将任务参数与环境数据和船只规格集成在一起的路由算法可以增强水环境中船只的运行。这些算法必须在参数和规格更改时及时更新预定路线。美国陆军工程师研究与发展中心海岸与水力学实验室正在通过扩展快速操作通道和机动支持(ROAMS)建模平台的功能,开发军事计划人员在水环境中快速优化船只路线的能力。 ROAMS平台允许用户分别使用自适应液压系统和稳态频谱WAVE计算引擎分别针对基本的二维流体动力学和波浪波,在有限信息条件下快速生成水环境模型。航路能力建立在路径搜索和惩罚障碍优化的基础上,可以自动生成考虑到环境变化和船只机动性的航路。这项工作概述了ROAMS路由软件包的组成部分,并提出了在美国东北大都市地区使用ROAMS的案例研究。讨论了ROAMS路由平台的优缺点,并提出了未来的改进建议。

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