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  • 标题:Uncertainty analysis of varying temperature chemical kinetic systems
  • 本地全文:下载
  • 作者:Tibor Nagy ; Tibor Nagy ; Tamás Turányi
  • 期刊名称:Procedia - Social and Behavioral Sciences
  • 印刷版ISSN:1877-0428
  • 出版年度:2010
  • 卷号:2
  • 期号:6
  • 页码:7757-7758
  • DOI:10.1016/j.sbspro.2010.05.214
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractAll uncertainty analysis studies carried out so far on chemical kinetic systems assumed that the uncertainties of the rate coefficients are independent of temperature, which leads to wrong results in varying temperature systems. Most chemical kinetic databases provide the recommended values of the Arrhenius parameters, the temperature range of validity and the temperature dependence of the uncertainty of rate coefficient k. A method is presented for the transformation of the uncertainty of k to the joint probability density function of the Arrhenius parameters, which is needed for a realistic uncertainty analysis in varying temperature chemical kinetic systems. Recommendations are given for an improved representation of the uncertainty information in future chemical kinetic databases.
  • 关键词:Chemical kinetics;Kinetic databases;Arrhenius parameters;uncertainty analysis
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