화학공학소재연구정보센터
검색결과 : 25건
No. Article
1 Interval Estimation for Uncertain Systems via Polynomial Chaos Expansions
Han WX, Wang ZH, Shen Y, Xu B
IEEE Transactions on Automatic Control, 66(1), 468, 2021
2 Stochastic Estimation of the Slip Factor in Apparent Permeability Model of Gas Transport in Porous Media
El-Amin MF, El-Beltagy MA
Transport in Porous Media, 137(2), 433, 2021
3 Non-intrusive uncertainty quantification in the simulation of turbulent spray combustion using Polynomial Chaos Expansion: A case study
Enderle B, Rauch B, Grimm F, Eckel G, Aigner M
Combustion and Flame, 213, 26, 2020
4 Uncertainty quantification of combustion noise by generalized polynomial chaos and state-space models
Silva CF, Pettersson P, Iaccarino G, Ihme M
Combustion and Flame, 217, 113, 2020
5 Uncertainty quantification in a hydrogen production system based on the solar hybrid sulfur process
Venturin M, Turchetti L, Liberatore R
International Journal of Hydrogen Energy, 45(29), 14679, 2020
6 The Effect of Correlated Kinetic Parameters on (Bio)Chemical Reaction Networks
Xie XZ, Schenkendorf R, Krewer U
Chemie Ingenieur Technik, 91(5), 632, 2019
7 An efficient polynomial chaos expansion strategy for active fault identification of chemical processes
Schenkendorf R, Xie XZ, Krewer U
Computers & Chemical Engineering, 122, 228, 2019
8 Hill chart modelling using the Hermite polynomial chaos expansion for the performance prediction of pumps running as turbines
Delgado J, Andolfatto L, Covas DIC, Avellan F
Energy Conversion and Management, 187, 578, 2019
9 Efficient uncertainty quantification of stochastic heat transfer problems by combination of proper orthogonal decomposition and sparse polynomial chaos expansion
Mohammadi A, Raisee M
International Journal of Heat and Mass Transfer, 128, 581, 2019
10 Uncertainty quantification in three dimensional natural convection using polynomial chaos expansion and deep neural networks
Shahane S, Aluru NR, Vanka SP
International Journal of Heat and Mass Transfer, 139, 613, 2019