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首页> 外文期刊>Proceedings of the Institution of Civil Engineers >Briefing: UK Ministry of Defence Force Protection Engineering Programme
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Briefing: UK Ministry of Defence Force Protection Engineering Programme

机译:简报:英国国防部部队保护工程计划

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The Defence Science and Technology Laboratory sponsored, QinetiQ-led Force Protection Engineering Research Programme has two main strands, applied and underpinning research. The underpinning strand is led by Blastech Ltd. One focus of this research is into the response of geomaterials to threat loading. The programme on locally won fill is split into four main characterisation strands: high-stress (GPa) static pressure-volume; medium-rate pressure-volume (split Hopkinson bar); high-rate (flyer plate) pressure-volume; and unifying modelling research at the University of Sheffield, which has focused on developing a high-quality dataset for locally won fill in low and medium strain rates. With the test apparatus at Sheffield well-controlled tests can be conducted at both high strain rate and pseudo-static rates up to stress levels of 1 GPa. The University of Cambridge has focused on using one-dimensional shock experiments to examine high-rate pressure-volume relationships. Both establishments are examining the effect of moisture content and starting density on emergent rate effects. Blastech Ltd has been undertaking carefully controlled fragment impact experiments, within the dataspace developed by the Universities of Sheffield and Cambridge. The data from experiments are unified by the QinetiQ-led modelling team, to predict material behaviour and to derive a scalable locally won fill model for use in any situation.
机译:由QinetiQ领导的“部队保护工程研究计划”由国防科学技术实验室赞助,它有两个主要方面,即应用研究和基础研究。支撑链由Blastech Ltd.领导。这项研究的重点之一是土工材料对威胁负荷的响应。本地赢得填充程序分为四个主要特征链:高应力(GPa)静压-体积;中速压力量(霍普金森分流棒);高速率(飞板)压力量;和谢菲尔德大学的统一建模研究,该研究的重点是开发高质量的数据集,用于本地获取的中低应变率填充物。使用谢菲尔德的测试设备,可以在高达1 GPa应力水平的高应变率和伪静态率下进行控制良好的测试。剑桥大学专注于使用一维冲击实验来检查高速率压力-体积关系。两家企业都在研究水分含量和起始密度对出苗率的影响。在谢菲尔德大学和剑桥大学开发的数据空间内,Blastech Ltd一直在进行仔细控制的碎片撞击实验。由QinetiQ领导的建模团队对来自实验的数据进行统一,以预测材料行为并导出可扩展的本地赢得填充模型,以在任何情况下使用。

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