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NIPC-based uncertainty analysis of infrared radiation from rocket exhaust plumes caused by nozzle exit conditions

机译:基于NIPC的NIPC的不确定度分析,喷射出口条件引起的火箭排气羽毛的红外辐射

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In this study, an uncertainty analysis for the infrared radiation characteristics of rocket exhaust plumes at representative trajectory points is performed. Owing to the instability of the rocket motor's working characteristics, numerical rocket plume infrared radiation predictions possess significant uncertainties. In this study, four epistemic uncertain variables (freestream velocity, nozzle exit pressure, temperature, and velocity) are considered for uncertainty and sensitivity analyses. Based on the infrared signature analysis tool, the response surface of statistical samples is established through the point collocation nonintrusive polynomial chaos expansion method. Polynomial chaos expansion coefficients are solved using the quadrature method to calculate the statistical characteristics and uncertainty of random input variables. The tensor-product quadrature sparse grid method is utilized to reduce the number of samples for multiple input variables. Based on these models, the uncertainty quantification of infrared radiation for Atlas-IIA rocket plumes is analyzed, including the flows, radiation images, spectra, and radiance. The results show that the uncertainty mainly results from afterburning at low altitude, and the nozzle exit velocity has a significant influence on the radiation intensity of the plume. With an increase in altitude, the uncertainty of infrared radiation owing to the afterburning effect decreases, and the influence of the freestream velocity increases. In addition, the proportion of radiation intensity in the 4.3-mu m band is higher than that in the 2.7-mu m band, and the corresponding uncertainty band is gradually widened. The nozzle exit temperature is the dominant factor that affects the radiation characteristics of the plume at high altitudes. These results of uncertainty and sensitivity analyses are helpful for improving numerical models of the plume infrared signature.
机译:在该研究中,进行了代表轨迹点处的火箭排气羽毛的红外辐射特性的不确定性分析。由于火箭电机的工作特性不稳定,数值火箭羽流红外辐射预测具有显着的不确定性。在这项研究中,考虑了四种认知不确定变量(FreeStream速度,喷嘴出口,温度和速度),用于不确定度和敏感性分析。基于红外签名分析工具,通过点搭配非凝固多项式混沌扩展方法建立统计样本的响应面。使用正交方法来解决多项式混沌膨胀系数,以计算随机输入变量的统计特征和不确定性。张于产品正交稀疏电网方法用于减少多个输入变量的样本数量。在这些模型的基础上,分析了用于阿特拉斯 - IIA火箭羽毛的红外辐射的不确定性定量,包括流动,辐射图像,光谱和辐射。结果表明,不确定度主要由低空下的燃烧结果产生,喷嘴出口速度对羽流的辐射强度产生了显着影响。随着海拔高度的增加,由于后台效应的红外辐射的不确定性降低,并且自由流速度的影响增加。另外,4.3-mu m频带中的辐射强度的比例高于2.7-mu m频带中的比例,并且相应的不确定性频带逐渐加宽。喷嘴出口温度是影响高海拔羽流的辐射特性的主导因素。这些不确定度和敏感性分析的结果有助于改善羽流红外签名的数值模型。

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