Confidence level of numerical simulation of detonation through quantifying the horsetail of error

Wang Ruili; Liang Xiao; Lin Zhong

doi:10.11883/1001-1455(2017)06-0893-08

Volume 37 Issue 6

Sep. 2017

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Wang Ruili, Liang Xiao, Lin Zhong. Confidence level of numerical simulation of detonation through quantifying the horsetail of error[J]. Explosion And Shock Waves, 2017, 37(6): 893-900. doi: 10.11883/1001-1455(2017)06-0893-08

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Wang Ruili, Liang Xiao, Lin Zhong. Confidence level of numerical simulation of detonation through quantifying the horsetail of error[J]. Explosion And Shock Waves, 2017, 37(6): 893-900. doi: 10.11883/1001-1455(2017)06-0893-08

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Confidence level of numerical simulation of detonation through quantifying the horsetail of error

doi: 10.11883/1001-1455(2017)06-0893-08

1.
Institute of Applied Physics and Computational Mathematics, Beijing 100094, China
2.
College of Mathematics, Shandong University of Science and Technology, Qingdao 266590, Shandong, China

Received Date: 2016-05-03
Rev Recd Date: 2016-07-02
Publish Date: 2017-11-25

Abstract

Abstract

In the present study, sampling technique was used to deal with the input parameter uncertainty in the numerical simulation of detonation CFD(computational fluid dynamics). Then the deterministic detonation CFD program was constructed with different input. The sample of the input parameter and system response quantity was obtained through the previous result. The cumulative distribution function and the horsetail of error was utilized to achieve the confidence level, which was then used to assess the influence of the input parameter uncertainty on the simulation result of detonation CFD. The horsetail graph of error in one dimensional Riemann problem and planar detonation problem were presented to analyze the relationship between the confidence level of simulation result and the mesh used in LAD2D. This method provides a reference for developing the software of multi-physics detonation process on high confidence level.
- cumulative distribution function,
- horsetail of error,
- quantification of confidence level,
- numerical simulation of detonation

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References(11)

References

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