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首页> 外文期刊>Combustion and Flame >A hierarchical method for Bayesian inference of rate parameters from shock tube data: Application to the study of the reaction of hydroxyl with 2-methylfuran
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A hierarchical method for Bayesian inference of rate parameters from shock tube data: Application to the study of the reaction of hydroxyl with 2-methylfuran

机译:从冲击管数据得出贝叶斯速率参数的一种层次方法:在研究羟基与2-甲基呋喃的反应中的应用

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摘要

We developed a novel two-step hierarchical method for the Bayesian inference of the rate parameters of a target reaction from time-resolved concentration measurements in shock tubes. The method was applied to the calibration of the parameters of the reaction of hydroxyl with 2-methylfuran, which is studied experimentally via absorption measurements of the OH radical's concentration following shock-heating. In the first step of the approach, each shock tube experiment is treated independently to infer the posterior distribution of the rate constant and error hyper-parameter that best explains the OH signal. In the second step, these posterior distributions are sampled to calibrate the parameters appearing in the Arrhenius reaction model for the rate constant. Furthermore, the second step is modified and repeated in order to explore alternative rate constant models and to assess the effect of uncertainties in the reflected shock's temperature. Comparisons of the estimates obtained via the proposed methodology against the common least squares approach are presented. The relative merits of the novel Bayesian framework are highlighted, especially with respect to the opportunity to utilize the posterior distributions of the parameters in future uncertainty quantification studies. (C) 2017 The Combustion Institute. Published by Elsevier Inc. All rights reserved.
机译:我们开发了一种新的两步分层方法,用于从冲击管中的时间分辨浓度测量值对目标反应的速率参数进行贝叶斯推断。该方法被用于校准羟基与2-甲基呋喃的反应参数,该方法是通过吸收测量激波加热后OH自由基的浓度进行实验研究的。在该方法的第一步中,每个电击管实验都经过独立处理,以推断速率常数和误差超参数的后验分布,从而最好地解释了OH信号。在第二步中,对这些后验分布进行采样,以校准出现在Arrhenius反应模型中的速率常数参数。此外,修改并重复第二步,以探索替代的速率常数模型并评估反射冲击温度中不确定性的影响。提出了通过提议的方法获得的估计数与通用最小二乘法的比较。强调了新颖的贝叶斯框架的相对优点,尤其是在未来不确定性量化研究中利用参数的后验分布的机会方面。 (C)2017燃烧研究所。由Elsevier Inc.出版。保留所有权利。

著录项

  • 来源
    《Combustion and Flame》 |2017年第10期|55-67|共13页
  • 作者单位

    King Abdullah Univ Sci & Technol, SRI Ctr Uncertainty Quantificat, Thuwal, Saudi Arabia;

    King Abdullah Univ Sci & Technol, SRI Ctr Uncertainty Quantificat, Thuwal, Saudi Arabia;

    King Abdullah Univ Sci & Technol, Div Phys Sci & Engn, Thuwal, Saudi Arabia;

    King Abdullah Univ Sci & Technol, Div Phys Sci & Engn, Clean Combust Res Ctr, Thuwal, Saudi Arabia;

    King Abdullah Univ Sci & Technol, Div Phys Sci & Engn, Clean Combust Res Ctr, Thuwal, Saudi Arabia;

    King Abdullah Univ Sci & Technol, SRI Ctr Uncertainty Quantificat, Thuwal, Saudi Arabia;

    King Abdullah Univ Sci & Technol, SRI Ctr Uncertainty Quantificat, Thuwal, Saudi Arabia;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Chemical kinetics; Shock tube; Bayesian inference; Rate parameters; Surrogate model; Uncertainty quantification;

    机译:化学动力学;冲击管;贝叶斯推断;速率参数;替代模型;不确定度定量;

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