Uncertainty propagation in puff-based dispersion models using polynomial chaos

Umamaheswara Konda; Tarunraj Singh; Puneet Singla; Peter D. Scott

Uncertainty propagation in puff-based dispersion models using polynomial chaos

Umamaheswara Konda, Tarunraj Singh, Puneet Singla, Peter D. Scott

Aerospace Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

A simple three-dimensional Gaussian puff-based dispersion model is designed to study the effect of uncertainties in the model parameters on the solution. A polynomial chaos approach to solve stochastic systems with parametric and initial uncertainties is described. The solution of the dispersion model is investigated numerically using this approach. The polynomial chaos solution is found to be an accurate approximation to ground truth, established by Monte Carlo simulation, while offering an efficient computational approach for large nonlinear systems with a relatively small number of uncertainties.

Original language	English (US)
Title of host publication	2009 12th International Conference on Information Fusion, FUSION 2009
Pages	710-716
Number of pages	7
State	Published - 2009
Event	2009 12th International Conference on Information Fusion, FUSION 2009 - Seattle, WA, United States Duration: Jul 6 2009 → Jul 9 2009

Publication series

Name	2009 12th International Conference on Information Fusion, FUSION 2009

Other

Other	2009 12th International Conference on Information Fusion, FUSION 2009
Country/Territory	United States
City	Seattle, WA
Period	7/6/09 → 7/9/09

All Science Journal Classification (ASJC) codes

Computational Theory and Mathematics
Computer Networks and Communications
Information Systems
Software

Cite this

@inproceedings{029f351174d945afa4a7d03c1289103f,

title = "Uncertainty propagation in puff-based dispersion models using polynomial chaos",

abstract = "A simple three-dimensional Gaussian puff-based dispersion model is designed to study the effect of uncertainties in the model parameters on the solution. A polynomial chaos approach to solve stochastic systems with parametric and initial uncertainties is described. The solution of the dispersion model is investigated numerically using this approach. The polynomial chaos solution is found to be an accurate approximation to ground truth, established by Monte Carlo simulation, while offering an efficient computational approach for large nonlinear systems with a relatively small number of uncertainties.",

author = "Umamaheswara Konda and Tarunraj Singh and Puneet Singla and Scott, {Peter D.}",

note = "Funding Information: This work is supported under contract no. HM1582-08-1-0012 from ONR . Copyright: Copyright 2009 Elsevier B.V., All rights reserved.; 2009 12th International Conference on Information Fusion, FUSION 2009 ; Conference date: 06-07-2009 Through 09-07-2009",

year = "2009",

language = "English (US)",

isbn = "9780982443804",

series = "2009 12th International Conference on Information Fusion, FUSION 2009",

pages = "710--716",

booktitle = "2009 12th International Conference on Information Fusion, FUSION 2009",

}

Konda, U, Singh, T, Singla, P & Scott, PD 2009, Uncertainty propagation in puff-based dispersion models using polynomial chaos. in 2009 12th International Conference on Information Fusion, FUSION 2009., 5203763, 2009 12th International Conference on Information Fusion, FUSION 2009, pp. 710-716, 2009 12th International Conference on Information Fusion, FUSION 2009, Seattle, WA, United States, 7/6/09.

Uncertainty propagation in puff-based dispersion models using polynomial chaos. / Konda, Umamaheswara; Singh, Tarunraj; Singla, Puneet et al.
2009 12th International Conference on Information Fusion, FUSION 2009. 2009. p. 710-716 5203763 (2009 12th International Conference on Information Fusion, FUSION 2009).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

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AU - Konda, Umamaheswara

AU - Singh, Tarunraj

AU - Singla, Puneet

AU - Scott, Peter D.

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Y1 - 2009

N2 - A simple three-dimensional Gaussian puff-based dispersion model is designed to study the effect of uncertainties in the model parameters on the solution. A polynomial chaos approach to solve stochastic systems with parametric and initial uncertainties is described. The solution of the dispersion model is investigated numerically using this approach. The polynomial chaos solution is found to be an accurate approximation to ground truth, established by Monte Carlo simulation, while offering an efficient computational approach for large nonlinear systems with a relatively small number of uncertainties.

AB - A simple three-dimensional Gaussian puff-based dispersion model is designed to study the effect of uncertainties in the model parameters on the solution. A polynomial chaos approach to solve stochastic systems with parametric and initial uncertainties is described. The solution of the dispersion model is investigated numerically using this approach. The polynomial chaos solution is found to be an accurate approximation to ground truth, established by Monte Carlo simulation, while offering an efficient computational approach for large nonlinear systems with a relatively small number of uncertainties.

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M3 - Conference contribution

AN - SCOPUS:70449353670

SN - 9780982443804

T3 - 2009 12th International Conference on Information Fusion, FUSION 2009

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EP - 716

BT - 2009 12th International Conference on Information Fusion, FUSION 2009

T2 - 2009 12th International Conference on Information Fusion, FUSION 2009

Y2 - 6 July 2009 through 9 July 2009

ER -

Uncertainty propagation in puff-based dispersion models using polynomial chaos

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All Science Journal Classification (ASJC) codes

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