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Quantification of the Impact of Uncertainties in Operating Conditions on the Flame Transfer Function With Nonintrusive Polynomial Chaos Expansion

机译:使用非侵入式多项式混沌展开量化操作条件不确定性对火焰传递函数的影响

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摘要

Nonintrusive polynomial chaos expansion (NIPCE) is used to quantify the impact of uncertainties in operating conditions on the flame transfer function (FTF) of a premixed laminar flame. NIPCE requires only a small number of system evaluations, so it can be applied in cases where a Monte Carlo simulation is unfeasible. We consider three uncertain operating parameters: inlet velocity, burner plate temperature, and equivalence ratio. The FTF is identified in terms of the finite impulse response (FIR) from computational fluid dynamics (CFD) simulations with broadband velocity excitation. NIPCE yields uncertainties in the FTF due to the uncertain operating conditions. For the chosen uncertain operating bounds, a second-order expansion is found to be sufficient to represent the resulting uncertainties in the FTF with good accuracy. The effect of each operating parameter on the FTF is studied using Sobol indices, i.e., a variance-based measure of sensitivity, which are computed from the NIPCE. It is observed that in the present case, uncertainties in the FIR as well as in the phase of the FTF are dominated by the equivalence-ratio uncertainty. For frequencies below 150 Hz, the uncertainty in the gain of the FTF is also attributable to the uncertainty in equivalence-ratio, but for higher frequencies, the uncertainties in velocity and temperature dominate. At last, we adopt the polynomial approximation of the output quantity, provided by the NIPCE method, for further uncertainty quantification (UQ) studies with modified input uncertainties.
机译:非介入式多项式混沌扩展(NIPCE)用于量化操作条件不确定性对预混层流火焰的火焰传递函数(FTF)的影响。 NIPCE仅需要进行少量系统评估,因此可以将其应用于无法进行蒙特卡洛模拟的情况。我们考虑了三个不确定的运行参数:进气速度,燃烧器板温度和当量比。 FTF是根据具有宽带速度激励的计算流体动力学(CFD)仿真中的有限冲激响应(FIR)来标识的。由于不确定的运行条件,NIPCE在FTF中产生不确定性。对于选定的不确定操作边界,发现二次扩展足以以良好的精度表示FTF中的不确定性。使用Sobol指数(即从NIPCE计算出的基于方差的灵敏度度量)研究每个操作参数对FTF的影响。可以看出,在当前情况下,FIR以及FTF阶段的不确定性均以当量比不确定性为主导。对于低于150 Hz的频率,FTF增益的不确定性也可归因于当量比的不确定性,但对于更高的频率,速度和温度的不确定性占主导地位。最后,我们采用NIPCE方法提供的输出量的多项式逼近,用于进一步的不确定性量化(UQ)研究,其中输入不确定性已修改。

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