Comparison of global and local sensitivity techniques for rate constants determined using complex reaction mechanisms
Many rate constant measurements, including some “direct” measurements, involve fitting a complex reaction mechanism to experimental data. Two techniques for estimating the error in such measurements were compared. In the first technique, local first‐order elementary sensitivities were used to rapidl...
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Published in | International journal of chemical kinetics Vol. 33; no. 12; pp. 784 - 802 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
New York
John Wiley & Sons, Inc
01.12.2001
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Online Access | Get full text |
ISSN | 0538-8066 1097-4601 |
DOI | 10.1002/kin.10001 |
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Abstract | Many rate constant measurements, including some “direct” measurements, involve fitting a complex reaction mechanism to experimental data. Two techniques for estimating the error in such measurements were compared. In the first technique, local first‐order elementary sensitivities were used to rapidly estimate the sensitivity of the fitted rate constants to the remaining mechanism parameters. Our group and others have used this technique for error estimation and experimental design. However, the nonlinearity and strong coupling found in reaction mechanisms make verification against globally valid results desirable. Here, the local results were compared with analogous importance‐sampled Monte Carlo calculations in which the parameter values were distributed according to their uncertainties. Two of our published rate measurements were examined. The local uncertainty estimates were compared with Monte Carlo confidence intervals. The local sensitivity coefficients were compared with coefficients from first and second‐degree polynomial regressions over the whole parameter space. The first‐order uncertainty estimates were found to be sufficiently accurate for experimental design, but were subject to error in the presence of higher order sensitivities. In addition, global uncertainty estimates were found to narrow when the quality of the fit was used to weight the randomly distributed points. For final results, the global technique was found to provide efficient, accurate values without the assumptions inherent in the local analysis. The rigorous error estimates derived in this way were used to address literature criticism of one of the studies discussed here. Given its efficiency and the variety of problems it can detect, the global technique could also be used to check local results during the experimental design phase. The global routine, coded using SENKIN, can easily be extended to different types of data, and therefore can serve as a valuable tool for assessing error in rate constants determined using complex mechanisms. © 2001 John Wiley & Sons, Inc. Int J Chem Kinet 33: 784–802, 2001 |
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AbstractList | Many rate constant measurements, including some “direct” measurements, involve fitting a complex reaction mechanism to experimental data. Two techniques for estimating the error in such measurements were compared. In the first technique, local first‐order elementary sensitivities were used to rapidly estimate the sensitivity of the fitted rate constants to the remaining mechanism parameters. Our group and others have used this technique for error estimation and experimental design. However, the nonlinearity and strong coupling found in reaction mechanisms make verification against globally valid results desirable. Here, the local results were compared with analogous importance‐sampled Monte Carlo calculations in which the parameter values were distributed according to their uncertainties. Two of our published rate measurements were examined. The local uncertainty estimates were compared with Monte Carlo confidence intervals. The local sensitivity coefficients were compared with coefficients from first and second‐degree polynomial regressions over the whole parameter space. The first‐order uncertainty estimates were found to be sufficiently accurate for experimental design, but were subject to error in the presence of higher order sensitivities. In addition, global uncertainty estimates were found to narrow when the quality of the fit was used to weight the randomly distributed points. For final results, the global technique was found to provide efficient, accurate values without the assumptions inherent in the local analysis. The rigorous error estimates derived in this way were used to address literature criticism of one of the studies discussed here. Given its efficiency and the variety of problems it can detect, the global technique could also be used to check local results during the experimental design phase. The global routine, coded using SENKIN, can easily be extended to different types of data, and therefore can serve as a valuable tool for assessing error in rate constants determined using complex mechanisms. © 2001 John Wiley & Sons, Inc. Int J Chem Kinet 33: 784–802, 2001 |
Author | Dryer, Frederick L. Yetter, Richard A. Scire Jr, James J. |
Author_xml | – sequence: 1 givenname: James J. surname: Scire Jr fullname: Scire Jr, James J. organization: Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, New Jersey 08544-5263 – sequence: 2 givenname: Frederick L. surname: Dryer fullname: Dryer, Frederick L. email: fldryer@princeton.edu organization: Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, New Jersey 08544-5263 – sequence: 3 givenname: Richard A. surname: Yetter fullname: Yetter, Richard A. organization: Department of Mechanical and Nuclear Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802 |
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Cites_doi | 10.1016/S0082-0784(98)80403-7 10.1016/S0010-2180(97)81762-2 10.1063/1.439977 10.1029/JC083iC06p03074 10.1016/S0082-0784(98)80404-9 10.1007/978-1-4612-4384-7 10.1007/978-1-4757-2553-7 10.1007/978-94-009-5819-7 10.1002/1097-4601(200102)33:2<75::AID-KIN1000>3.0.CO;2-9 10.1016/S1352-2310(97)00419-6 10.1063/1.555953 10.1063/1.456838 10.1063/1.1699114 10.1021/jp971416a 10.1093/comjnl/13.4.418 10.1002/kin.550260506 |
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References_xml | – reference: Peckham, G. Comp J 1970, 13, 418-420. – reference: Yetter, R. A.; Rabitz, H.; Dryer, F. L.; Maki, R. G.; Klemm, R. B. J Chem Phys 1989, 91, 4088-4097. – reference: Fishman, G. Monte Carlo: Concepts, Algorithms, and Applications; Springer-Verlag: New York, 1996. – reference: Eslava, L. A.; Eno, L.; Rabitz, H. J Chem Phys 1980, 73, 4998-5012. – reference: Brent, R. P. Algorithms for Minimization without Derivatives; Prentice-Hall: Englewood Cliffs, NJ, 1973 – reference: Metropolis, N.; Rosenbluth, A. W.; Rosenbluth, M. N.; Teller, A. H.; Teller, E. J Chem Phys 1953, 21, 1087-1092. – reference: Beckwith, T. G.; Marangoni, R. D.; Lienhard, J. H. V Mechanical Measurements, 5th ed.; Addison-Wesley: Reading, MA, 1993. – reference: Mueller, M. A.; Yetter, R. A.; Dryer, F. L. Proc Combust Instit 1998, 27, 177-184. – reference: Hanna, S. R.; Chang, J. C.; Fernau, M. E. Atmos Env 1998, 32, 3619-3628. – reference: Stolarski, R. S.; Butler, D. M.; Rundel, R. D. J Geophys Res 1978, 83, 3074-3078. – reference: Baulch, D. L.; Cobos, C. J.; Cox, R. A.; Frank, P.; Hayman, G.; Just, Th.; Kerr, J. A.; Murrells, T.; Pilling, M. J.; Troe, J.; Walker, R. W.; Warnatz, J. J Phys Chem Ref Data 1994, 23, 847-1033. – reference: Ashman, P. J.; Haynes, B. S. Proc Combust Instit 1998, 27, 185-191. – reference: Scire, J. J. Jr.; Yetter, R. A.; Dryer, F. L. Int J Chem Kinet 2001, 33, 75-100. – reference: Fahr, A.; Braun, W. Int J Chem Kinet 1994, 26, 535-544. – reference: Cramér, H. Mathematical Methods of Statistics; Princeton University Press: Princeton, NJ, 1999. – reference: Hessler, J. P. J Phys Chem A 1998, 102, 4517-4526. – reference: Hall, P. The Bootstrap and Edgeworth Expansion; Springer-Verlag: New York, 1992. – reference: Phenix, B. D.; DiNaro, J. L.; Tatang, M. A.; Tester, J. W.; Howard, J. B.; McRae, G. J. Combust Flame 1998, 112, 132-146. – reference: Hammersley, J. M.; Handscomb, D. C. Monte Carlo Methods; Wiley: New York, 1964. – volume: 112 start-page: 132 year: 1998 end-page: 146 publication-title: Combust Flame – year: 1964 – volume: 26 start-page: 535 year: 1994 end-page: 544 publication-title: Int J Chem Kinet – volume: 21 start-page: 1087 year: 1953 end-page: 1092 publication-title: J Chem Phys – volume: 73 start-page: 4998 year: 1980 end-page: 5012 publication-title: J Chem Phys – year: 1987 – volume: 83 start-page: 3074 year: 1978 end-page: 3078 publication-title: J Geophys Res – year: 1973 – year: 2000 – year: 1996 – volume: 27 start-page: 185 year: 1998 end-page: 191 publication-title: Proc Combust Instit – volume: 102 start-page: 4517 year: 1998 end-page: 4526 publication-title: J Phys Chem A – volume: 91 start-page: 4088 year: 1989 end-page: 4097 publication-title: J Chem Phys – volume: 32 start-page: 3619 year: 1998 end-page: 3628 publication-title: Atmos Env – volume: 27 start-page: 177 year: 1998 end-page: 184 publication-title: Proc Combust Instit – volume: 33 start-page: 75 year: 2001 end-page: 100 publication-title: Int J Chem Kinet – year: 1993 – year: 1992 – volume: 13 start-page: 418 year: 1970 end-page: 420 publication-title: Comp J – volume: 23 start-page: 847 year: 1994 end-page: 1033 publication-title: J Phys Chem Ref Data – year: 1999 – ident: e_1_2_1_2_2 doi: 10.1016/S0082-0784(98)80403-7 – ident: e_1_2_1_9_2 doi: 10.1016/S0010-2180(97)81762-2 – ident: e_1_2_1_6_2 doi: 10.1063/1.439977 – ident: e_1_2_1_7_2 doi: 10.1029/JC083iC06p03074 – ident: e_1_2_1_23_2 doi: 10.1016/S0082-0784(98)80404-9 – ident: e_1_2_1_18_2 doi: 10.1007/978-1-4612-4384-7 – ident: e_1_2_1_13_2 – ident: e_1_2_1_15_2 doi: 10.1007/978-1-4757-2553-7 – ident: e_1_2_1_16_2 doi: 10.1007/978-94-009-5819-7 – ident: e_1_2_1_3_2 doi: 10.1002/1097-4601(200102)33:2<75::AID-KIN1000>3.0.CO;2-9 – volume-title: Mathematical Methods of Statistics year: 1999 ident: e_1_2_1_17_2 – ident: e_1_2_1_8_2 doi: 10.1016/S1352-2310(97)00419-6 – volume-title: Algorithms for Minimization without Derivatives year: 1973 ident: e_1_2_1_21_2 – ident: e_1_2_1_22_2 doi: 10.1063/1.555953 – ident: e_1_2_1_12_2 – volume-title: V Mechanical Measurements year: 1993 ident: e_1_2_1_14_2 – ident: e_1_2_1_5_2 doi: 10.1063/1.456838 – ident: e_1_2_1_19_2 doi: 10.1063/1.1699114 – ident: e_1_2_1_11_2 doi: 10.1021/jp971416a – ident: e_1_2_1_20_2 doi: 10.1093/comjnl/13.4.418 – ident: e_1_2_1_4_2 – ident: e_1_2_1_10_2 doi: 10.1002/kin.550260506 |
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Title | Comparison of global and local sensitivity techniques for rate constants determined using complex reaction mechanisms |
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