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Using Computational Fluid Dynamics and Machine Learning to Predict Sled Profile During High Speed Water Braking at Holloman High Speed Test Track

机译：在Holloman高速测试轨道的高速水制动期间，使用计算流体动力学和机器学习预测雪橇轮廓

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作者
Terrazas, Jose Armando.;
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作者单位

The University of Texas at El Paso.;

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授予单位 The University of Texas at El Paso.;
学科
学位 M.S.
年度 2020
页码 67 p.
总页数 67
原文格式 PDF
正文语种 eng
中图分类 AAI28090665;
关键词
Computational Fluid Dynamics; Conditional Generative Adverserial Network; Machine Learning;

机译：计算流体动力学;有条件的生成对抗性网络;机器学习;

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2. Engineering Approach for the Evaluation of Mechanical Wear Considering the Experimental Holloman High-Speed Test Track [J] . Chad S. Hale, Anthony N. Palazotto, William P. Baker Journal of Engineering Mechanics . 2012,第9期

机译：考虑实验霍洛曼高速试验轨迹的机械磨损评估工程方法
3. Engineering Approach for the Evaluation of Mechanical Wear Considering the Experimental Holloman High-Speed Test Track [J] . Chad S. Hale1, Anthony N. Palazotto F.ASCE2, and William P. Baker3 Engineering Mechanics . 2012,第9期

机译：考虑实验霍洛曼高速试验轨迹的机械磨损评估工程方法
4. Exploration of Dynamic Rocket Sled Modeling Parameters at Holloman High Speed Test Track [C] . G. Ayers, M. Hooser, D. Black, U.S. Air Force Tamp;E Days 2009 . 2009

机译：Holloman高速测试轨道上动态火箭雪橇建模参数的探索
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8. Rail Roughness Study of the Holloman High Speed Rocket Sled Test Track [R] . Mixon, L. C., Evans, C. B., Gilliam, W. L. 1981

机译：霍洛曼高速火箭雪橇试验轨道的轨道粗糙度研究

Using Computational Fluid Dynamics and Machine Learning to Predict Sled Profile During High Speed Water Braking at Holloman High Speed Test Track

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