Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Sangjune Bae"'
Autor:
Joshua Garno, Kyle Hughes, Thomas L. Jackson, S. Balachandar, Frederick Ouellet, Raphael T. Haftka, Sangjune Bae, Nam H. Kim
Publikováno v:
Physical Review Fluids. 5
Uncertainty-quantification-driven simulations of an explosive experiment are performed to minimize the flow prediction error in the PBXN-5 detonation products and air flow. The global sensitivity response of JWL model parameters based on simulation t
Publikováno v:
Journal of Mechanical Design. 142
An approach is proposed to quantify the uncertainty in probability of failure using a Gaussian process (GP) and to estimate uncertainty change before actually adding samples to GP. The approach estimates the coefficient of variation (CV) of failure p
Publikováno v:
Structural and Multidisciplinary Optimization. 57:1845-1855
The objective of this paper is a tradeoff between changing design and controlling sampling uncertainty in reliability-based design optimization (RBDO). The former is referred to as ‘living with uncertainty’, while the latter is called ‘shaping
Publikováno v:
AIAA Journal. 55:3916-3924
A Bayesian network represents a causal relationship among random variables using conditional probabilities. Because of limited resources and sampling uncertainty, the estimated probabilities have b...
Autor:
Sangjune Bae, Nam H. Kim
Publikováno v:
Volume 2B: 45th Design Automation Conference.
A novel approach is introduced to estimate the change in the variance of the probability of failure by adding a sample to the Gaussian process (GP) in a conservative manner. Uncertainty in probability stems from prediction uncertainty and GP is used
Publikováno v:
Journal of Mechanical Design. 141
This paper presents a tradeoff between shifting design and controlling sampling uncertainty in system reliability-based design optimization (RBDO) using the Bayesian network. The sampling uncertainty is caused by a finite number of samples used in ca
Publikováno v:
Volume 2B: 44th Design Automation Conference.
The main objective of this paper is to quantify the effect of surrogate model uncertainty on reliability in addition to the aleatory randomness of the input variables, especially when Kriging surrogate model is utilized where the prediction uncertain
Autor:
Nam H. Kim, Sangjune Bae
Publikováno v:
2018 AIAA Non-Deterministic Approaches Conference.
Publikováno v:
Journal of Power Sources. 293:498-510
A thermal-runaway model of lithium-ion battery is developed by devising a resistive heating that includes short circuit current and integrating it with existing electrochemical and exothermic reaction model of lithium-ion battery. With the developed