日本語
 
Help Privacy Policy ポリシー/免責事項
  詳細検索ブラウズ

アイテム詳細

登録内容を編集ファイル形式で保存
 
 
ダウンロード電子メール
  Uncertainty propagation in the derivation of phenomenological rate coefficients from theory: A case study of n-propyl radical oxidation

Goldsmith, C. F., Tomlin, A. S., & Klippenstein, S. J. (2013). Uncertainty propagation in the derivation of phenomenological rate coefficients from theory: A case study of n-propyl radical oxidation. Proceedings of the Combustion Institute, 34(1), 177-185. doi:10.1016/j.proci.2012.05.091.

Item is

基本情報

表示: 非表示:
資料種別: 学術論文

ファイル

表示: ファイル

関連URL

表示:

作成者

表示:
非表示:
 作成者:
Goldsmith, Claude Franklin1, 著者           
Tomlin, Alison S.2, 著者
Klippenstein, Stephen J.3, 著者
所属:
1Inorganic Chemistry, Fritz Haber Institute, Max Planck Society, ou_24023              
2Energy Research Institute, School of Process Environmental and Materials Engineering, University of Leeds, Leeds LS2 9JT, UK, ou_persistent22              
3Chemical Sciences and Engineering Division, Argonne National Laboratory, Argonne, IL 60439, USA, ou_persistent22              

内容説明

表示:
非表示:
キーワード: Uncertainty analysis; Master equation; Propane oxidation; Sensitivity analysis; Ab initio transition state theory
 要旨: Global uncertainty and sensitivity analysis is used to study the propagation of uncertainties in fundamental theoretical parameters through to uncertainties in the predicted temperature and pressure dependent phenomenological rate coefficients. Predictions are obtained from ab initio transition state theory based master equation calculations. The fundamental parameters for these rate predictions include barrier heights, well depths, vibrational frequencies, collision frequency, and energy transfer parameters. A random sampling high-dimensional model representation (HDMR) approach is used to perform the global sensitivity analysis. This approach determines the predicted distributions of the phenomenological rate coefficients based on a quasi-random sample of the fundamental parameters within their uncertainty range. Sensitivity analysis then identifies the main parameters which contribute to variance in the predicted distributions. Here the approach is applied to a study of the oxidation of the propyl radical, employing the parameters derived in our recent theoretical study. We find rates at 3σ variances that typically differ from the most frequent values by factors of 4–6, with the uncertainties decreasing with increasing temperature. For the well skipping reactions there are more parameters that contribute significantly to the variance, the second-order sensitivities are greater, and the uncertainties increased with increasing pressure. For the other reactions, the uncertainties tend to decrease with increasing pressure.

資料詳細

表示:
非表示:
言語: eng - English
 日付: 20122012-07-192013
 出版の状態: 出版
 ページ: 9
 出版情報: -
 目次: -
 査読: 査読あり
 識別子(DOI, ISBNなど): DOI: 10.1016/j.proci.2012.05.091
 学位: -

関連イベント

表示:

訴訟

表示:

Project information

表示:

出版物 1

表示:
非表示:
出版物名: Proceedings of the Combustion Institute
  その他 : Proc. Combust. Inst.
種別: 学術雑誌
 著者・編者:
所属:
出版社, 出版地: Baltimore : Elsevier
ページ: - 巻号: 34 (1) 通巻号: - 開始・終了ページ: 177 - 185 識別子(ISBN, ISSN, DOIなど): ISSN: 0082-0784
CoNE: https://pure.mpg.de/cone/journals/resource/110978977738513