Long-Term Estimates of U.S. National Wind Tunnel Demand for NASA Aeronautics Test Program (ATP) using a Probabilistic Model

机译：使用概率模型对美国国家航空航天局（NASA）航空测试计划（ATP）的国家风洞需求的长期估计

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Long-term (five-to-ten-year) projections of wind-tunnel testing demand for national-class facilities are notoriously difficult to generate given the variability of government aerospace agendas, plans, and programs. This paper presents a Monte Carlo model that considers the problem as a function of the likelihood of a program start and the wind-tunnel testing demands of new and existing programs. We provide examples on how to apply this model and of the insights it offers decisionmakers on future wind-tunnel testing requirements.

机译：众所周知，鉴于政府航空议程，计划和计划的多变性，很难对国家级设施的风洞测试需求进行长期（5至10年）预测。本文提出了一种蒙特卡洛模型，该模型将问题视为程序启动的可能性以及新程序和现有程序的风洞测试需求的函数。我们提供了有关如何应用此模型的示例，并为决策者提供了有关未来风洞测试要求的见解。

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《AIAA aerospace sciences meeting including the new horizons forum and aerospace exposition》|2012年|p.13756-13767|共12页
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James G. Kallimani; Chad J. R. Ohlandt; Jan Osburg;
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中图分类航空;航空;
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Long-Term Estimates of U.S. National Wind Tunnel Demand for NASA Aeronautics Test Program (ATP) using a Probabilistic Model

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