کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1784100 | 1524113 | 2015 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Infrared radiation and stealth characteristics prediction for supersonic aircraft with uncertainty
ترجمه فارسی عنوان
اشعه مادون قرمز و پیش بینی ویژگی های خفا برای هواپیما های بادی با عدم اطمینان
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کلمات کلیدی
اشعه مادون قرمز، بارندگی اتمسفر، تجزیه و تحلیل عدم قطعیت، ارزیابی قابلیت اطمینان،
موضوعات مرتبط
مهندسی و علوم پایه
فیزیک و نجوم
فیزیک اتمی و مولکولی و اپتیک
چکیده انگلیسی
The infrared radiation (IR) intensity is generally used to embody the stealth characteristics of a supersonic aircraft, which directly affects its survivability in warfare. Under such circumstances, the research on IR signature as an important branch of stealth technology is significant to overcome this threat for survivability enhancement. Considering the existence of uncertainties in material and environment, the IR intensity is indeed a range rather than a specific value. In this paper, subjected to the properties of the IR, an analytic process containing the uncertainty propagation and the reliability evaluation is investigated when taking into account that the temperature of object, the atmospheric transmittance and the spectral emissivity of materials are all regarded as uncertain parameters. For one thing, the vertex method is used to analyze and estimate the dispersion of IR intensity; for another, the safety assessment of the stealth performance for aircraft is conducted by non-probabilistic reliability analysis. For the purpose of the comparison and verification, the Monte Carlo simulation is discussed as well. The validity, usage, and efficiency of the developed methodology are demonstrated by two application examples eventually.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Infrared Physics & Technology - Volume 73, November 2015, Pages 238-250
Journal: Infrared Physics & Technology - Volume 73, November 2015, Pages 238-250
نویسندگان
Xiaoying Pan, Xiaojun Wang, Ruixing Wang, Lei Wang,