A physics informed emulator for laser-driven radiating shock simulations

Handle URI:
http://hdl.handle.net/10754/597375
Title:
A physics informed emulator for laser-driven radiating shock simulations
Authors:
McClarren, Ryan G.; Ryu, D.; Paul Drake, R.; Grosskopf, Michael; Bingham, Derek; Chou, Chuan-Chih; Fryxell, Bruce; van der Holst, Bart; Paul Holloway, James; Kuranz, Carolyn C.; Mallick, Bani; Rutter, Erica; Torralva, Ben R.
Abstract:
This work discusses the uncertainty quantification aspect of quantification of margin and uncertainty (QMU) in the context of two linked computer codes. Specifically, we present a physics based reduction technique to deal with functional data from the first code and then develop an emulator for this reduced data. Our particular application deals with conditions created by laser deposition in a radiating shock experiment modeled using the Lagrangian, radiation-hydrodynamics code Hyades. Our goal is to construct an emulator and perform a sensitivity analysis of the functional output from Hyades to be used as an initial condition for a three-dimensional code that will compute the evolution of the radiating shock at later times. Initial attempts at purely statistical data reduction techniques, were not successful at reducing the number of parameters required to describe the Hyades output. We decided on an alternate approach using physical arguments to decide what features/locations of the output were relevant (e.g., the location of the shock front or the location of the maximum pressure) and then used a piecewise linear fit between these locations. This reduced the number of outputs needed from the emulator to 40, down from the O(1000) points in the Hyades output. Then, using Bayesian MARS and Gaussian process regression, we were able to build emulators for Hyades and study sensitivities to input parameters. © 2011 Elsevier Ltd. All rights reserved.
Citation:
McClarren RG, Ryu D, Paul Drake R, Grosskopf M, Bingham D, et al. (2011) A physics informed emulator for laser-driven radiating shock simulations. Reliability Engineering & System Safety 96: 1194–1207. Available: http://dx.doi.org/10.1016/j.ress.2010.08.012.
Publisher:
Elsevier BV
Journal:
Reliability Engineering & System Safety
KAUST Grant Number:
KUS-C1-016-04
Issue Date:
Sep-2011
DOI:
10.1016/j.ress.2010.08.012
Type:
Article
ISSN:
0951-8320
Sponsors:
This research was supported by the DOE NNSA/ASC under the Predictive Science Academic Alliance Program by Grant number DEFC52- 08NA28616. R.G. McClarren, D. Ryu, and B. Mallick's contributions were partially supported by Award no. KUS-C1-016-04, made by King Abdullah University of Science and Technology (KAUST).
Appears in Collections:
Publications Acknowledging KAUST Support

Full metadata record

DC FieldValue Language
dc.contributor.authorMcClarren, Ryan G.en
dc.contributor.authorRyu, D.en
dc.contributor.authorPaul Drake, R.en
dc.contributor.authorGrosskopf, Michaelen
dc.contributor.authorBingham, Dereken
dc.contributor.authorChou, Chuan-Chihen
dc.contributor.authorFryxell, Bruceen
dc.contributor.authorvan der Holst, Barten
dc.contributor.authorPaul Holloway, Jamesen
dc.contributor.authorKuranz, Carolyn C.en
dc.contributor.authorMallick, Banien
dc.contributor.authorRutter, Ericaen
dc.contributor.authorTorralva, Ben R.en
dc.date.accessioned2016-02-25T12:31:54Zen
dc.date.available2016-02-25T12:31:54Zen
dc.date.issued2011-09en
dc.identifier.citationMcClarren RG, Ryu D, Paul Drake R, Grosskopf M, Bingham D, et al. (2011) A physics informed emulator for laser-driven radiating shock simulations. Reliability Engineering & System Safety 96: 1194–1207. Available: http://dx.doi.org/10.1016/j.ress.2010.08.012.en
dc.identifier.issn0951-8320en
dc.identifier.doi10.1016/j.ress.2010.08.012en
dc.identifier.urihttp://hdl.handle.net/10754/597375en
dc.description.abstractThis work discusses the uncertainty quantification aspect of quantification of margin and uncertainty (QMU) in the context of two linked computer codes. Specifically, we present a physics based reduction technique to deal with functional data from the first code and then develop an emulator for this reduced data. Our particular application deals with conditions created by laser deposition in a radiating shock experiment modeled using the Lagrangian, radiation-hydrodynamics code Hyades. Our goal is to construct an emulator and perform a sensitivity analysis of the functional output from Hyades to be used as an initial condition for a three-dimensional code that will compute the evolution of the radiating shock at later times. Initial attempts at purely statistical data reduction techniques, were not successful at reducing the number of parameters required to describe the Hyades output. We decided on an alternate approach using physical arguments to decide what features/locations of the output were relevant (e.g., the location of the shock front or the location of the maximum pressure) and then used a piecewise linear fit between these locations. This reduced the number of outputs needed from the emulator to 40, down from the O(1000) points in the Hyades output. Then, using Bayesian MARS and Gaussian process regression, we were able to build emulators for Hyades and study sensitivities to input parameters. © 2011 Elsevier Ltd. All rights reserved.en
dc.description.sponsorshipThis research was supported by the DOE NNSA/ASC under the Predictive Science Academic Alliance Program by Grant number DEFC52- 08NA28616. R.G. McClarren, D. Ryu, and B. Mallick's contributions were partially supported by Award no. KUS-C1-016-04, made by King Abdullah University of Science and Technology (KAUST).en
dc.publisherElsevier BVen
dc.subjectBayesian MARSen
dc.subjectData Reductionen
dc.subjectGaussian Process Regressionen
dc.subjectUncertainty Quantificationen
dc.titleA physics informed emulator for laser-driven radiating shock simulationsen
dc.typeArticleen
dc.identifier.journalReliability Engineering & System Safetyen
dc.contributor.institutionTexas A and M University, College Station, United Statesen
dc.contributor.institutionUniversity Michigan Ann Arbor, Ann Arbor, United Statesen
dc.contributor.institutionSimon Fraser University, Burnaby, Canadaen
kaust.grant.numberKUS-C1-016-04en
All Items in KAUST are protected by copyright, with all rights reserved, unless otherwise indicated.