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在“
Elsevier电子期刊
”中,
命中:
1,440
条,耗时:0.0200215 秒
在所有数据库中总计命中:
2,271
条
1.
Quantification
of
uncertainty
on the catalytic property of reusable thermal protection materials from high enthalpy experiments
作者:
Franç
;
ois Sanson
a
;
Nadè
;
ge Villedieu
b
;
Francesco Panerai
b
;
panerai@vki.ac.be
;
Olivier Chazot
b
;
Pietro M. Congedo
a
;
Thierry E. Magin
b
关键词:
Uncertainty
quantification
;
Catalysis
;
Thermal protection systems
刊名:Experimental Thermal and Fluid Science
出版年:2017
2.
Accelerating optimization and
uncertainty
quantification
of nonlinear SMB chromatography using reduced-order models
作者:
Yongjin Zhang
a
;
zhangy@mpi-magdeburg.mpg.de
;
Lihong Feng
a
;
feng@mpi-magdeburg.mpg.de
;
Andreas Seidel-Morgenstern
a
;
b
;
seidel-morgenstern@mpi-magdeburg.mpg.de
;
Peter Benner
a
;
benner@mpi-magdeburg.mpg.de
关键词:
Reduced basis method
;
Empirical interpolation
;
Error estimation
;
Simulated moving bed chromatography
;
Optimization
;
Uncertainty
quantification
刊名:Computers & Chemical Engineering
出版年:2017
3.
Reliable Molecular Dynamics:
Uncertainty
quantification
using interval analysis in molecular dynamics simulation
作者:
Anh V. Tran
;
Yan Wang
;
yan.wang@me.gatech.edu
;
prof.yan.wang@gmail.com
关键词:
Molecular dynamics
;
Interatomic potential
;
Uncertainty
quantification
;
Interval analysis
刊名:Computational Materials Science
出版年:2017
4.
Gaussian process modelling for
uncertainty
quantification
in convectively-enhanced dissolution processes in porous media
作者:
D. Crevillé
;
n-Garcí
;
a
;
a
;
D.Crevillen-Garcia@warwick.ac.uk
;
R.D. Wilkinson
b
;
A.A. Shah
a
;
H. Power
c
关键词:
Convectively-enhanced dissolution
;
Partial differential equations with random inputs
;
Multiple solutions and bifurcation
;
Gaussian process emulation and classification
;
Uncertainty
quantification
刊名:Advances in Water Resources
出版年:2017
5.
Identification and
quantification
of multivariate interval
uncertainty
in finite element models
作者:
M. Faes
a
;
matthias.faes@kuleuven.be
;
J. Cerneels
a
;
D. Vandepitte
b
;
c
;
D. Moens
a
关键词:
Finite element modelling
;
Multivariate
uncertainty
;
Possibilistic
;
Uncertainty
quantification
;
Interval field
刊名:Computer Methods in Applied Mechanics and Engineering
出版年:2017
6.
Uncertainty
quantification
for seismic responses of bilinear SDOF systems: A semi-closed-form estimation
作者:
Peng Deng
a
;
pdeng@mines.edu
;
Shiling Pei
a
;
John W. van de Lindt
b
;
Chao Zhang
c
关键词:
Seismic response
uncertainty
;
Bilinear systems
;
Ground motion
uncertainty
;
Structural parameter
uncertainty
;
Performance based earthquake engineering
刊名:Soil Dynamics and Earthquake Engineering
出版年:2017
7.
Uncertainty
quantification
in ion-solid interaction simulations
作者:
R. Preuss
;
preuss@ipp.mpg.de
;
U. von Toussaint
关键词:
Polynomial chaos
;
Spectral expansion
;
Discrete projection
;
Uncertainty
quantification
;
Ion&ndash
;
solid interaction
;
SDTRIM
刊名:Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms
出版年:2017
8.
Non-intrusive
uncertainty
quantification
using reduced cubature rules
作者:
L.M.M. van den Bos
a
;
b
;
l.m.m.van.den.bos@cwi.nl
;
B. Koren
a
;
b
;
b.koren@tue.nl
;
R.P. Dwight
c
;
r.p.dwight@tudelft.nl
关键词:
Uncertainty
quantification
;
Numerical integration
;
Cubature rules
刊名:Journal of Computational Physics
出版年:2017
9.
Uncertainty
quantification
applied to the mode coupling phenomenon
作者:
Martin Treimer
a
;
b
;
martin.treimer@bmw.de" class="auth_mail" title="E-mail the corresponding author
;
Baldur Allert
a
;
baldur.allert@bmw.de" class="auth_mail" title="E-mail the corresponding author
;
Katrin Dylla
a
;
b
;
katrin.dylla@mytum.de" class="auth_mail" title="E-mail the corresponding author
;
Gerhard Mü
;
ller
b
;
gerhard.mueller@tum.de" class="auth_mail" title="E-mail the corresponding author
关键词:
Uncertainty
quantification
;
Mode coupling phenomenon
;
Robustness
;
Regression analysis
;
Brake squeal
;
Euler&ndash
;
Bernoulli beam
刊名:Journal of Sound and Vibration
出版年:2017
10.
Uncertainty
quantification
of environmental performance metrics in heterogeneous aquifers with long-range correlations
作者:
Mahsa Moslehi
;
moslehi@usc.edu
;
Felipe P.J. de Barros
fbarros@usc.edu
关键词:
Flow and transport
;
Probabilistic risk analysis
;
Long-range correlation
;
Uncertainty
quantification
;
Stochastic hydrogeology
;
Heterogeneity
刊名:Journal of Contaminant Hydrology
出版年:2017
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