首页> 外文会议>AHS 59th Annual Forum Proceedings Vol.1 May 6-8, 2003 Phoenix, Arizona >Application of a Probabilistic Design Environment to the Mission Requirements and Technologies for a Heavy Lift Helicopter
【24h】

Application of a Probabilistic Design Environment to the Mission Requirements and Technologies for a Heavy Lift Helicopter

机译:概率设计环境在重型直升机的任务要求和技术中的应用

获取原文
获取原文并翻译 | 示例

摘要

This research presents applications of a probabilistic design environment for the propagation of design uncertainty to the system level to assist in making more educated decisions in the early stages of design. Previous research established the Mission Space Model and the Unified Tradeoff Environment as appropriate probabilistic environments which capture the impact of mission requirements, vehicle attributes and technologies while being amenable to probabilistic techniques. Two probabilistic techniques are introduced and used in conjunction with these environments to show their utility. The first technique is called the Joint Probabilistic Decision Making technique which allows one to assess the probability of meeting multiple objectives simultaneously when the objective data is in the form of a probability distribution (as is the case when design uncertainty is propagated to the system level objectives). Another application introduces a method for conducting optimizations while taking design uncertainty into account. This technique provides coordination between an optimization procedure and a simulation model allowing propagation of design uncertainty. The design environments and probabilistic techniques proposed in this research are demonstrated for a heavy lift helicopter variant of the Future Transport Rotorcraft.
机译:这项研究提出了一种概率设计环境的应用,以将设计不确定性传播到系统级别,以帮助在设计的早期阶段做出更有根据的决策。先前的研究将任务空间模型和统一权衡环境建立为适当的概率环境,以捕获任务要求,车辆属性和技术的影响,同时适应概率技术。引入了两种概率技术,并将其与这些环境结合使用以显示其效用。第一种技术称为联合概率决策技术,当目标数据以概率分布的形式出现时(如将设计不确定性传播到系统级目标的情况),该技术可以同时评估满足多个目标的概率)。另一个应用程序介绍了一种在考虑设计不确定性的同时进行优化的方法。该技术提供了优化过程和仿真模型之间的协调,从而可以传播设计不确定性。这项研究中提出的设计环境和概率技术已针对“未来运输”旋翼机的重型直升机的变体进行了演示。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号