Confidence-Based Uncertainty Quantification and Model Validation for Simulations of High-Speed Impact Problems

Autor: Kyung K. Choi, Nirmal Kumar Rai, Oishik Sen, Nicholas J. Gaul, Min-Yeong Moon, H. S. Udaykumar

Publikováno v: Journal of Verification, Validation and Uncertainty Quantification. 5

Validation exercises for computational models of materials under impact must contend with sparse experimental data as well as with uncertainties due to microstructural stochasticity and variabilities in thermomechanical properties of the material. Th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e90aa37f66326583a827706db382c059
https://doi.org/10.1115/1.4047960

Role of pseudo-turbulent stresses in shocked particle clouds and construction of surrogate models for closure

Autor: H. S. Udaykumar, Gustaaf Jacobs, Nicholas J. Gaul, Sean Davis, Kyung K. Choi, Oishik Sen

Publikováno v: Shock Waves. 28:579-597

Macroscale models of shock–particle interactions require closure terms for unresolved solid–fluid momentum and energy transfer. These comprise the effects of mean as well as fluctuating fluid-phase velocity fields in the particle cloud. Mean drag

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c5fad842570a95f48565dc1d61a9b9bf
https://doi.org/10.1007/s00193-017-0801-1

Evaluation of kriging based surrogate models constructed from mesoscale computations of shock interaction with particles

Autor: Gustaaf Jacobs, Nicholas J. Gaul, Kyung K. Choi, H. S. Udaykumar, Oishik Sen

Publikováno v: Journal of Computational Physics. 336:235-260

Macro-scale computations of shocked particulate flows require closure laws that model the exchange of momentum/energy between the fluid and particle phases. Closure laws are constructed in this work in the form of surrogate models derived from highly

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f1b85645eb23650b5851754c6a5db0fc
https://doi.org/10.1016/j.jcp.2017.01.046

Conservative reliability-based design optimization method with insufficient input data

Autor: David Lamb, Ikjin Lee, David Gorsich, Nicholas J. Gaul, Kyung K. Choi, Hyunkyoo Cho

Publikováno v: Structural and Multidisciplinary Optimization. 54:1609-1630

Reliability analysis and reliability-based design optimization (RBDO) require an exact input probabilistic model to obtain accurate probability of failure (PoF) and RBDO optimum design. However, often only limited input data is available to generate

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::49cb2e2e38a72a956b7e6538325c3d9e
https://doi.org/10.1007/s00158-016-1492-4

Benchmarking Uncertainty Quantification Methods Using the NACA 2412 Airfoil with Geometrical and Operational Uncertainties

Autor: Matteo Diez, Charles Hirsch, Michele Pisaroni, Kyung K. Choi, Frederick Stern, Nicholas J. Gaul, Umberto Iemma, Andrea Serani, Luca Montagliani, Pénélope Leyland, Dirk Wunsch, Domenico Quagliarella, Jaekwan Shin

Publikováno v: 20th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Dallas, USA, 17-21/06/2019
info:cnr-pdr/source/autori:Domenico Quagliarella (1); Andrea Serani (2); Matteo Diez (2); Michele Pisaroni (3); Pénélope Leyland (3); Luca Montagliani (4); Umberto Iemma (4); Nicholas J. Gaul (5); Jaekwan Shin (5); Dirk Wunsch (6); Charles Hirsch (6); KK Choi (7); Frederick Stern (7)/congresso_nome:20th AIAA%2FISSMO Multidisciplinary Analysis and Optimization Conference/congresso_luogo:Dallas, USA/congresso_data:17-21%2F06%2F2019/anno:2019/pagina_da:/pagina_a:/intervallo_pagine

This paper presents uncertainty quantification (UQ) benchmarking activities within the NATO AVT-252 Task Group on "Stochastic Design Optimization for Naval and Aero Military Vehicles." UQ methods are assessed and compared as an essential part of stoc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71ed9071a3148e0bf2a72e301b80d1b9
https://arc.aiaa.org/doi/abs/10.2514/6.2019-3555