军用飞机保障能力评价建模与仿真

在对军用飞机维修保障过程分析的基础上，运用离散事件建模方法和计算机建模与仿真技术建立了飞机维修保障仿真模型。仿真出飞机使用可用度（A0）、出动架次率（SGR）、备件延误时间（SDT）、系统无故障工作时间（MTBF）等指标，来评价保障能力。仿真模型可以量化分析影响军用飞机保障能力的各种因素，显示、预测保障系统运行状态，提供辅助决策。通过改变任务计划、备件策略、维修策略。做动态敏感性分析。可以评价不同方案的维修保障能力，改进现有维修保障系统。仿真模型目前应用于航空兵部队团级保障能力评价，今后还将对未定型飞机开展维修保障仿真验证。     

基于离散事件仿真的军用飞机保障能力评估

军用飞机的保障能力是发挥其战斗力的前提,文中建立了基于离散事件仿真的军用飞机保障能力评估模型,模型模拟了军用飞机的维修保障过程,分析了影响保障能力的主要因素及它们之间的相互作用关系.通过模型仿真可以评估飞机的维修保障能力,给出影响保障能力的关键环节,为优化配置保障资源提供辅助决策方案.     

DELMIA人机工程在飞机虚拟维修中的应用

本文以目前航空部门普遍采用的DELMIA软件为平台,介绍了虚拟维修技术在飞机维修性设计中的作用,阐述了基于DELMIA软件的交互式虚拟维修流程,以及其中的虚拟场景构建、维修仿真过程和维修性分析、评价技术.     

Reliability and sensitivity analyses of HPT blade-tip radial running clearance using multiply response surface model

To reasonably design the blade-tip radial running clearance（BTRRC） of high pressure turbine and improve the performance and reliability of gas turbine, the multi-object multi-discipline reliability sensitivity analysis of BTRRC was accomplished from a probabilistic prospective by considering nonlinear material attributes and dynamic loads. Firstly, multiply response surface model（MRSM） was proposed and the mathematical model of this method was established based on quadratic function. Secondly, the BTRRC was decomposed into three sub-components（turbine disk, blade and casing）, and then the single response surface functions（SRSFs） of three structures were built in line with the basic idea of MRSM. Thirdly, the response surface function（MRSM） of BTRRC was reshaped by coordinating SRSFs. From the analysis, it is acquired to probabilistic distribution characteristics of input-output variables, failure probabilities of blade-tip clearance under different static blade-tip clearances δ and major factors impacting BTRRC. Considering the reliability and efficiency of gas turbine, δ=1.87 mm is an optimally acceptable option for rational BTRRC. Through the comparison of three analysis methods（Monte Carlo method, traditional response surface method and MRSM）, the results show that MRSM has higher accuracy and higher efficiency in reliability sensitivity analysis of BTRRC. These strengths are likely to become more prominent with the increasing times of simulations. The present study offers an effective and promising approach for reliability sensitivity analysis and optimal design of complex dynamic assembly relationship.