Parallel on-the-fly adaptive kinetics in direct numerical simulation of turbulent premixed flame

Suo Yang; Reetesh Ranjan; Vigor Yang; Suresh Menon; Wenting Sun

doi:10.1016/j.proci.2016.07.021

Parallel on-the-fly adaptive kinetics in direct numerical simulation of turbulent premixed flame

Suo Yang
, Reetesh Ranjan
, Vigor Yang
, Suresh Menon
, Wenting Sun

Research output: Contribution to journal › Article › peer-review

47 Scopus citations

Abstract

A new numerical framework for direct numerical simulation (DNS) of turbulent combustion is developed employing on-the-fly adaptive kinetics (OAK), correlated transport (CoTran), and a point-implicit ODE solver (ODEPIM). The new framework is tested on a canonical turbulent premixed flame employing a real conventional jet fuel mechanism. The results show that the new framework provides a significant speed-up of kinetics and transport computation, which allows DNS with large kinetic mechanisms, and at the same time maintains high accuracy and good parallel scalability. Detailed diagnostics show that calculation of the chemical source term with ODEPIM is 17 times faster than with a pure implicit solver in this test. OAK utilizes a path flux analysis (PFA) method to reduce the large kinetic mechanism to a smaller size for each location and time step, and it can further speed up the chemical source calculation by 2.7 times in this test. CoTran uses a similar correlation method to make the calculation of mixture-averaged diffusion (MAD) coefficients 72 times faster in this test. Compared to conventional DNS, the total CPU time of the final framework is 20 times faster, kinetics is 46 times faster, and transport is 72 times faster in this test.

Original language	English (US)
Pages (from-to)	2025-2032
Number of pages	8
Journal	Proceedings of the Combustion Institute
Volume	36
Issue number	2
DOIs	https://doi.org/10.1016/j.proci.2016.07.021
State	Published - 2017
Externally published	Yes

Bibliographical note

Funding Information:
This work was funded by the US Federal Aviation Administration (FAA) Office of Environment and Energy as a part of ASCENT Project 28a under FAA Award number: 13-C-AJFE-GIT-009 , and by NASA (Grant NNX15AU96A ). Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the FAA or other ASCENT Sponsors. Suo Yang and Wenting Sun thank Weiqi Sun and Yiguang Ju at Princeton University for inspiring discussion and detailed responses regarding technical details.

Publisher Copyright:
© 2016 The Combustion Institute. Published by Elsevier Inc.

Keywords

Direct numerical simulation
Reaction kinetics
Turbulent flames

Publisher link

10.1016/j.proci.2016.07.021

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title = "Parallel on-the-fly adaptive kinetics in direct numerical simulation of turbulent premixed flame",

abstract = "A new numerical framework for direct numerical simulation (DNS) of turbulent combustion is developed employing on-the-fly adaptive kinetics (OAK), correlated transport (CoTran), and a point-implicit ODE solver (ODEPIM). The new framework is tested on a canonical turbulent premixed flame employing a real conventional jet fuel mechanism. The results show that the new framework provides a significant speed-up of kinetics and transport computation, which allows DNS with large kinetic mechanisms, and at the same time maintains high accuracy and good parallel scalability. Detailed diagnostics show that calculation of the chemical source term with ODEPIM is 17 times faster than with a pure implicit solver in this test. OAK utilizes a path flux analysis (PFA) method to reduce the large kinetic mechanism to a smaller size for each location and time step, and it can further speed up the chemical source calculation by 2.7 times in this test. CoTran uses a similar correlation method to make the calculation of mixture-averaged diffusion (MAD) coefficients 72 times faster in this test. Compared to conventional DNS, the total CPU time of the final framework is 20 times faster, kinetics is 46 times faster, and transport is 72 times faster in this test.",

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author = "Suo Yang and Reetesh Ranjan and Vigor Yang and Suresh Menon and Wenting Sun",

note = "Funding Information: This work was funded by the US Federal Aviation Administration (FAA) Office of Environment and Energy as a part of ASCENT Project 28a under FAA Award number: 13-C-AJFE-GIT-009 , and by NASA (Grant NNX15AU96A ). Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the FAA or other ASCENT Sponsors. Suo Yang and Wenting Sun thank Weiqi Sun and Yiguang Ju at Princeton University for inspiring discussion and detailed responses regarding technical details. Publisher Copyright: {\textcopyright} 2016 The Combustion Institute. Published by Elsevier Inc.",

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AU - Yang, Vigor

AU - Menon, Suresh

AU - Sun, Wenting

N1 - Funding Information: This work was funded by the US Federal Aviation Administration (FAA) Office of Environment and Energy as a part of ASCENT Project 28a under FAA Award number: 13-C-AJFE-GIT-009 , and by NASA (Grant NNX15AU96A ). Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the FAA or other ASCENT Sponsors. Suo Yang and Wenting Sun thank Weiqi Sun and Yiguang Ju at Princeton University for inspiring discussion and detailed responses regarding technical details. Publisher Copyright: © 2016 The Combustion Institute. Published by Elsevier Inc.

PY - 2017

Y1 - 2017

N2 - A new numerical framework for direct numerical simulation (DNS) of turbulent combustion is developed employing on-the-fly adaptive kinetics (OAK), correlated transport (CoTran), and a point-implicit ODE solver (ODEPIM). The new framework is tested on a canonical turbulent premixed flame employing a real conventional jet fuel mechanism. The results show that the new framework provides a significant speed-up of kinetics and transport computation, which allows DNS with large kinetic mechanisms, and at the same time maintains high accuracy and good parallel scalability. Detailed diagnostics show that calculation of the chemical source term with ODEPIM is 17 times faster than with a pure implicit solver in this test. OAK utilizes a path flux analysis (PFA) method to reduce the large kinetic mechanism to a smaller size for each location and time step, and it can further speed up the chemical source calculation by 2.7 times in this test. CoTran uses a similar correlation method to make the calculation of mixture-averaged diffusion (MAD) coefficients 72 times faster in this test. Compared to conventional DNS, the total CPU time of the final framework is 20 times faster, kinetics is 46 times faster, and transport is 72 times faster in this test.

AB - A new numerical framework for direct numerical simulation (DNS) of turbulent combustion is developed employing on-the-fly adaptive kinetics (OAK), correlated transport (CoTran), and a point-implicit ODE solver (ODEPIM). The new framework is tested on a canonical turbulent premixed flame employing a real conventional jet fuel mechanism. The results show that the new framework provides a significant speed-up of kinetics and transport computation, which allows DNS with large kinetic mechanisms, and at the same time maintains high accuracy and good parallel scalability. Detailed diagnostics show that calculation of the chemical source term with ODEPIM is 17 times faster than with a pure implicit solver in this test. OAK utilizes a path flux analysis (PFA) method to reduce the large kinetic mechanism to a smaller size for each location and time step, and it can further speed up the chemical source calculation by 2.7 times in this test. CoTran uses a similar correlation method to make the calculation of mixture-averaged diffusion (MAD) coefficients 72 times faster in this test. Compared to conventional DNS, the total CPU time of the final framework is 20 times faster, kinetics is 46 times faster, and transport is 72 times faster in this test.

KW - Direct numerical simulation

KW - Reaction kinetics

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Parallel on-the-fly adaptive kinetics in direct numerical simulation of turbulent premixed flame

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