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Najm, H.N. ; Debusschere, Bert D. ; Sparks, Neil S. ; Sargsyan, Khachik S. ; Huan, Xun H. ; Oefelein, Joseph; Vane, Zachary; Eldred, Michael S. ; Geraci, Gianluca G. ; Knio, O.; Sraj, I.; Scovazzi, G.; Colomes, O.; Marzouk, Y.; Zahm, O.; Menhorn, F.; Ghanem, R.; Tsilifis, P.
Najm, H.N. ; Debusschere, Bert D. ; Safta, Cosmin S. ; Sargsyan, Khachik S. ; Huan, Xun H. ; Oefelein, Joseph; Vane, Zachary; Eldred, Michael S. ; Geraci, G.; Knio, O.; Sraj, I.; Scovazzi, G.; Colomes, O.; Marzouk, Y.; Zahm, O.; Menhorn, F.; Ghanem, R.; Tsilifis, P.
Carpenter, John H. ; Robinson, Allen C. ; Debusschere, Bert D.
Najm, H.N. ; Debusschere, Bert D. ; Safta, Cosmin S. ; Sargsyan, Khachik S. ; Huan, Xun H. ; Oefelein, Joseph C. ; Lacaze, Guilhem M. ; Vane, Zachary P. ; Eldred, Michael S. ; Geraci, Gianluca G. ; Knio, Omar; Sraj, I.; Scovazzi, G.; Colomes, O.; Marzouk, Y.; Zahm, O.; Menhorn, F.; Ghanem, R.; Tsilifis, P.
Najm, H.N. ; Debusschere, Bert D. ; Safta, Cosmin S. ; Sargsyan, Khachik S. ; Huan, Xun H. ; Oefelein, Joseph C. ; Lacaze, Guilhem M. ; Vane, Zachary P. ; Eldred, Michael S. ; Geraci, G.; Knio, O.; Sraj, I.; Scovazzi, G.; Colomes, O.; Marzouk, Y.; Zahm, O.; Augustin, F.; Menhorn, F.; Ghanem, R.; Tsilifis, P.
Carpenter, John H. ; Debusschere, Bert D. ; Robinson, Allen C.
Carpenter, John H. ; Robinson, Allen C. ; Debusschere, Bert D. ; Wills, Ann E.
Najm, H.N. ; Debusschere, Bert D. ; Safta, Cosmin S. ; Sargsyan, Khachik S. ; Oefelein, Joseph C. ; Lacaze, Guilhem M. ; Eldred, Michael S. ; Knio, Omar; Scovazzi, G.; Marzouk, Y.; Ghanem, R.
Carpenter, John H. ; Robinson, Allen C. ; Debusschere, Bert D. ; Wills, Ann E.
Carpenter, John H. ; Robinson, Allen C. ; Debusschere, Bert D. ; Wills, Ann E.
Robinson, Allen C. ; Carpenter, John H. ; Debusschere, Bert D.
Debusschere, Bert D. ; Jakeman, John D. ; Chowdhary, Kamaljit S. ; Safta, Cosmin S. ; Sargsyan, Khachik S. ; Rai, P.; Ghanem, R.; Knio, O.; La Maitre, O.; Winokur, J.; Li, G.; Ghattas, O.; Moser, R.; Simmons, C.; Alexanderian, A.; Gattiker, J.; Higdon, D.; Lawrence, E.; Bhat, S.; Marzouk, Y.; Bigoni, D.; Cui, T.; Parno, M.
Eldred, Michael S. ; Debusschere, Bert D. ; Chowdhary, Kamaljit S. ; Jakeman, John D. ; Rai, Prashant R. ; Safta, Cosmin S. ; Sargsyan, Khachik S.
Robinson, Allen C. ; Mattsson, Thomas M. ; Shulenburger, Luke N. ; Carpenter, John H. ; Debusschere, Bert D.
Carpenter, John H. ; Robinson, Allen C. ; Debusschere, Bert D. ; Wills, Ann E.
Robinson, Allen C. ; Debusschere, Bert D. ; Carpenter, John H.
Carpenter, John H. ; Robinson, Allen C. ; Wills, Ann E. ; Debusschere, Bert D.
Journal of Aerospace Information Systems
Safta, Cosmin S. ; Sargsyan, Khachik S. ; Najm, H.N. ; Chowdhary, Kenny; Debusschere, Bert D. ; Swiler, Laura P. ; Eldred, Michael S.
In this paper, a series of algorithms are proposed to address the problems in the NASA Langley Research Center Multidisciplinary Uncertainty Quantification Challenge. A Bayesian approach is employed to characterize and calibrate the epistemic parameters based on the available data, whereas a variance-based global sensitivity analysis is used to rank the epistemic and aleatory model parameters. A nested sampling of the aleatory-epistemic space is proposed to propagate uncertainties from model parameters to output quantities of interest.
Debusschere, Bert D. ; Carpenter, John H. ; Robinson, Allen C. ; Wills, Ann E.
Carpenter, John H. ; Robinson, Allen C. ; Wills, Ann E. ; Drake, Richard R. ; Rider, William J. ; Debusschere, Bert D.
Najm, H.N. ; Eldred, Michael S. ; Debusschere, Bert D. ; Chowdhary, Kamaljit S. ; Jakeman, John D. ; Safta, Cosmin S. ; Sargsyan, Khachik S.
Eldred, Michael S. ; Debusschere, Bert D. ; Chowdhary, Kamaljit S. ; Jakeman, John D. ; Najm, H.N. ; Safta, Cosmin S. ; Sargsyan, Khachik S.
Robinson, Allen C. ; Drake, Richard R. ; Carpenter, John H. ; Wills, Ann E. ; Rider, William J. ; Debusschere, Bert D.
16th AIAA Non-Deterministic Approaches Conference
Sargsyan, Khachik S. ; Najm, H.N. ; Chowdhary, Kamaljit S. ; Debusschere, Bert D. ; Swiler, Laura P. ; Eldred, Michael S.
In this paper we propose a series of methodologies to address the problems in the NASA Langley Multidisciplinary UQ Challenge. A Bayesian approach is employed to characterize and calibrate the epistemic parameters in problem A, while variance-based global sensitivity analysis is proposed for problem B. For problems C and D we propose nested sampling methods for mixed aleatory-epistemic UQ.
Sargsyan, Khachik S. ; Najm, H.N. ; Chowdhary, Kamaljit S. ; Debusschere, Bert D. ; Swiler, Laura P. ; Eldred, Michael S.
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