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在“Elsevier电子期刊”中，命中：1,440条，耗时：0.0219639 秒

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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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