Chemical kinetics uncertainty quantification on the dynamic detonation parameters for hydrogen–air mixtures

IF 5.8 2区 工程技术 Q2 ENERGY & FUELS
Xiangrong Huang , Zifeng Weng , Rémy Mével , Josué Melguizo-Gavilanes , Karl P. Chatelain , Joao Vargas , Deanna A. Lacoste
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For a stoichiometric mixture, these extreme mechanisms present a variation of the induction zone length by a factor of 15, which results in a change in the predicted cell size by 10.7 times. The difference in cell size can be even larger for off-stoichiometric mixtures. Concerning the third goal of the current study, we varied the rate constant of H+O<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span>=H+OH, the most sensitive reaction for the induction length, to its 3<span><math><mi>σ</mi></math></span> limits to study the corresponding influence in 2-D unsteady simulations characteristics, i.e., soot foil, shock velocity profile, and temperature field, for a stoichiometric hydrogen–air mixture. A reduced mechanism was developed based on the selected kinetics to minimize the computational cost related to 2-D simulations. 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引用次数: 0

Abstract

This study aims at (i) presenting detail reaction kinetics and corresponding reduced model which include nitrogen species chemistry for conditions relevant to H2-air detonations, (ii) based on the obtained kinetics, conducting the quantification of the uncertainty induced by the uncertainty of the rate constants on the dynamic detonation parameters (DDP) predicted using various semi-empirical and theoretical models, and (iii) investigating the impact of the induction length uncertainty on the 2-D detonation simulations. To achieve the first goal, a total of 72 detailed reaction models were compiled and quantitatively evaluated based on (a) shock tube ignition delay-time (τ) data under detonation-relevant conditions in H2-O2-diluent(-nitrogen oxide) mixtures, and (b) DDP data. The two evaluation approaches lead to the selection of two different reaction models. For both selected mechanisms, a Monte Carlo method was adopted to statistically identify the uncertainty on the dynamic detonation parameters induced by the uncertainty of rate constants. Reactions R1: H+O2=OH +O and R2: H+O2(+M)=HO2(+M) were shown to induce the largest uncertainty on the predicted DDP for initial conditions of 300 K and 101 kPa. Furthermore, the uncertainty bands of cell size for a range of equivalence ratios obtained by perturbing R1 and R2 were illustrated. The distribution type of the DDP induced by sampling the rate constant k was investigated. To estimate the maximum possible uncertainty of cell size induced from rate constants, two extreme mechanisms were developed by perturbing the rate constants to their 3σ limits. For a stoichiometric mixture, these extreme mechanisms present a variation of the induction zone length by a factor of 15, which results in a change in the predicted cell size by 10.7 times. The difference in cell size can be even larger for off-stoichiometric mixtures. Concerning the third goal of the current study, we varied the rate constant of H+O2=H+OH, the most sensitive reaction for the induction length, to its 3σ limits to study the corresponding influence in 2-D unsteady simulations characteristics, i.e., soot foil, shock velocity profile, and temperature field, for a stoichiometric hydrogen–air mixture. A reduced mechanism was developed based on the selected kinetics to minimize the computational cost related to 2-D simulations. An average cell size 2.08 times larger was obtained when using the model with the -3σ perturbation on R1 rather than when using the model with the +3σ perturbation. Our results demonstrate that the uncertainties on the rate constants constitute an essential aspect to consider for DDP prediction and cell size prediction in 2-D unsteady simulation.
Novelty and significance Statement
1. Two detailed reaction models with nitrogen-species chemistry were selected using a very wide range of conditions. 2. A reduced reaction model was developed for detonation relevant conditions. 3. The first uncertainty quantification study under detonation-relevant conditions was performed. 4. The effect of the rate constant uncertainty of H+O2=H+OH, the most sensitive reaction for the induction length, in 2-D simulations was determined. 5. The uncertainty on chemical kinetics is of primary importance for detonation modeling.
氢-空气混合动力爆轰参数的化学动力学不确定度定量
本研究旨在(i)给出h2 -空气爆轰相关条件下的详细反应动力学和相应的简化模型(包括氮种化学);(ii)基于所获得的动力学,对使用各种半经验和理论模型预测的动态爆轰参数(DDP)的速率常数不确定性所引起的不确定性进行量化。(3)研究感应长度不确定性对二维爆轰模拟的影响。为了实现第一个目标,基于(a)爆轰相关条件下h2 - o2稀释剂(-氮氧化物)混合物中激波管点火延迟时间(τ)数据和(b) DDP数据,共编制了72个详细的反应模型并进行了定量评估。这两种评价方法导致了两种不同反应模型的选择。对于所选的两种机理,采用蒙特卡罗方法对速率常数不确定性引起的动态爆轰参数的不确定性进行了统计识别。反应R1: H+O2=OH +O和R2: H+O2(+M)=HO2(+M)在初始条件为300 K和101 kPa时对预测DDP的不确定性最大。此外,还给出了通过干扰R1和R2得到的等效比范围内的细胞尺寸的不确定带。研究了速率常数k采样引起的DDP的分布类型。为了估计由速率常数引起的细胞尺寸的最大可能不确定性,通过将速率常数扰动到它们的3σ极限,建立了两个极端机制。对于一个化学计量混合物,这些极端的机制表现为诱导区长度的15倍变化,这导致预测细胞大小的变化10.7倍。对于非化学计量混合物,细胞大小的差异甚至更大。在本研究的第三个目标中,我们将诱导长度最敏感的反应H+O2=H+OH的速率常数改变到3σ极限,研究相应的影响对化学计量氢-空气混合物的二维非定常模拟特性,即烟灰箔、激波速度分布和温度场的影响。基于所选择的动力学,开发了一种简化机制,以最小化与二维模拟相关的计算成本。在R1上加-3σ扰动时,细胞的平均大小是加3σ扰动时的2.08倍。我们的结果表明,速率常数的不确定性是二维非定常模拟中DDP预测和单元尺寸预测的一个重要方面。新颖性和意义两个详细的反应模型与氮种化学选择使用非常广泛的条件。2. 建立了与爆轰相关条件下的还原反应模型。3. 在爆炸相关条件下进行了首次不确定度量化研究。4. 在二维模拟中确定了对诱导长度最敏感的反应H+O2=H+OH的速率常数不确定度的影响。5. 化学动力学的不确定性对爆轰模型至关重要。
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来源期刊
Combustion and Flame
Combustion and Flame 工程技术-工程:化工
CiteScore
9.50
自引率
20.50%
发文量
631
审稿时长
3.8 months
期刊介绍: The mission of the journal is to publish high quality work from experimental, theoretical, and computational investigations on the fundamentals of combustion phenomena and closely allied matters. While submissions in all pertinent areas are welcomed, past and recent focus of the journal has been on: Development and validation of reaction kinetics, reduction of reaction mechanisms and modeling of combustion systems, including: Conventional, alternative and surrogate fuels; Pollutants; Particulate and aerosol formation and abatement; Heterogeneous processes. Experimental, theoretical, and computational studies of laminar and turbulent combustion phenomena, including: Premixed and non-premixed flames; Ignition and extinction phenomena; Flame propagation; Flame structure; Instabilities and swirl; Flame spread; Multi-phase reactants. Advances in diagnostic and computational methods in combustion, including: Measurement and simulation of scalar and vector properties; Novel techniques; State-of-the art applications. Fundamental investigations of combustion technologies and systems, including: Internal combustion engines; Gas turbines; Small- and large-scale stationary combustion and power generation; Catalytic combustion; Combustion synthesis; Combustion under extreme conditions; New concepts.
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