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USING MONTE CARLO SIMULATION FOR SAFETY AND RISK ASSESSMENTS OF WINGED RE-ENTRY PASSENGER VEHICLES

机译:使用蒙特卡罗模拟对有翼再入乘员车辆进行安全性和风险评估

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Winged re-entry vehicle with orbital and suborbital flight velocities gained recent public attention. Especially inthe context of the newly emerging and fast growing sector Space Tourism. However, safety is a decisive property inorder to gain acceptance in the public and hence establishing this new industry. Winged re-entry vehicles often haveto fulfill contradicting requirements in respect of the mission scenario: a) high safety standards and high flexibility,and the system architecture and b) versatility and robustness of the design. The higher the flexibility of the missionand the versatility of the vehicle, the higher is the complexity of the total design. A measure of the complexityof a system is the non-linearity of the describing mathematical model. The intention of the paper is to investigatethese factors using the example of the SpaceLiner which is a winged re-entry passenger vehicle. A common way tocharacterize such a non-linear system is by using statistical methods. Strong non-linear coupling of two propertiescan be illustrated by the skewness of the resulting probability distribution. Based on the results of the Monte CarloSimulation a safety assessment will be performed and the impact of the above discussed requirements on the riskassessment highlighted.
机译:带有轨道和亚轨道飞行速度的翼式再入飞行器最近受到了公众的关注。特别是在 在新兴和快速增长的领域太空旅游的背景下。但是,安全性是决定性因素。 为了获得公众的认可,从而建立这个新行业。有翼的重返车辆经常有 为了满足任务情景中相互矛盾的要求:a)高安全标准和高灵活性, b)设计的多功能性和鲁棒性。任务的灵活性更高 以及车辆的多功能性,总体设计的复杂性就越高。衡量复杂性 系统的描述是描述数学模型的非线性。本文的目的是调查 这些因素以有翼重返乘员车SpaceLiner为例。常见的方法 这种非线性系统的特征是通过使用统计方法。两种特性的强非线性耦合 结果概率分布的偏度可以说明这一点。根据蒙特卡洛的结果 模拟将执行安全评估,并且上述要求对风险的影响 评估突出显示。

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