Polynomial Chaos Expansion (PCE) Based Surrogate Modeling and Optimization for Batch Crystallization Processes

Computer Aided Chemical Engineering - 24th European Symposium on Computer Aided Process Engineering ◽

10.1016/b978-0-444-63456-6.50095-8 ◽

2014 ◽

pp. 565-570 ◽

Author(s):

Nahid Sanzida ◽

Zoltan K. Nagy

Keyword(s):

Polynomial Chaos ◽

Surrogate Modeling ◽

Polynomial Chaos Expansion ◽

Chaos Expansion ◽

Batch Crystallization ◽

Modeling And Optimization

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A new surrogate modeling method combining polynomial chaos expansion and Gaussian kernel in a sparse Bayesian learning framework

International Journal for Numerical Methods in Engineering ◽

10.1002/nme.6145 ◽

2019 ◽

Vol 120 (4) ◽

pp. 498-516 ◽

Author(s):

Yicheng Zhou ◽

Zhenzhou Lu ◽

Kai Cheng

Keyword(s):

Bayesian Learning ◽

Polynomial Chaos ◽

Surrogate Modeling ◽

Polynomial Chaos Expansion ◽

Modeling Method ◽

Gaussian Kernel ◽

Sparse Bayesian Learning ◽

Chaos Expansion ◽

Learning Framework

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All-at-once approach to multifidelity polynomial chaos expansion surrogate modeling

Aerospace Science and Technology ◽

10.1016/j.ast.2017.07.043 ◽

2017 ◽

Vol 70 ◽

pp. 121-136 ◽

Author(s):

Dean E. Bryson ◽

Markus P. Rumpfkeil

Keyword(s):

Polynomial Chaos ◽

Surrogate Modeling ◽

Polynomial Chaos Expansion ◽

Chaos Expansion

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SURROGATE MODELING OF INDOOR DOWN-LINK HUMAN EXPOSURE BASED ON SPARSE POLYNOMIAL CHAOS EXPANSION

International Journal for Uncertainty Quantification ◽

10.1615/int.j.uncertaintyquantification.2020031452 ◽

2020 ◽

Vol 10 (2) ◽

pp. 145-163

Author(s):

Zicheng Liu ◽

Dominique Lesselier ◽

Bruno Sudret ◽

Joe Wiart

Keyword(s):

Human Exposure ◽

Polynomial Chaos ◽

Surrogate Modeling ◽

Polynomial Chaos Expansion ◽

Chaos Expansion ◽

Sparse Polynomial ◽

Sparse Polynomial Chaos Expansion

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A New Surrogate Modeling Method Associating Generalized Polynomial Chaos Expansion and Kriging for Mechanical Systems Subjected to Friction-Induced Vibration

Special Topics in Structural Dynamics, Volume 6 - Conference Proceedings of the Society for Experimental Mechanics Series ◽

10.1007/978-3-319-53841-9_2 ◽

2017 ◽

pp. 17-23

Author(s):

E. Denimal ◽

L. Nechak ◽

J.-J. Sinou ◽

S. Nacivet

Keyword(s):

Polynomial Chaos ◽

Mechanical Systems ◽

Surrogate Modeling ◽

Polynomial Chaos Expansion ◽

Modeling Method ◽

Chaos Expansion ◽

Generalized Polynomial Chaos ◽

Generalized Polynomial ◽

Friction Induced Vibration

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UNCERTAINTY QUANTIFICATION FOR NATURAL CONVECTION IN RANDOM POROUS MEDIA WITH INTRUSIVE POLYNOMIAL CHAOS EXPANSION

Journal of Porous Media ◽

10.1615/jpormedia.2020033288 ◽

2020 ◽

Vol 23 (7) ◽

pp. 641-661

Author(s):

Changwei Jiang ◽

Yi Jiang ◽

Er Shi

Keyword(s):

Porous Media ◽

Natural Convection ◽

Uncertainty Quantification ◽

Polynomial Chaos ◽

Polynomial Chaos Expansion ◽

Chaos Expansion ◽

Random Porous Media

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Uncertainty Quantification of Transonic Nozzle Flow by Polynomial Chaos Expansion

JOURNAL OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES ◽

10.2322/jjsass.65.151 ◽

2017 ◽

Vol 65 (4) ◽

pp. 151-156

Author(s):

Koji MIYAJI ◽

Tota UENO ◽

Yasumi KAWAMURA

Keyword(s):

Uncertainty Quantification ◽

Polynomial Chaos ◽

Polynomial Chaos Expansion ◽

Nozzle Flow ◽

Chaos Expansion

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PARAMETER ESTIMATION OF A DISTRIBUTED HYDROLOGICAL MODEL FOR THE IBO RIVER BASIN WITH POLYNOMIAL CHAOS EXPANSION

Journal of Japan Society of Civil Engineers Ser B1 (Hydraulic Engineering) ◽

10.2208/jscejhe.75.2_i_247 ◽

2019 ◽

Vol 75 (2) ◽

pp. I_247-I_252

Author(s):

Putika Ashfar KHOIRI ◽

Masayasu IRIE ◽

Hiroaki TOI ◽

Masahide ISHIZUKA

Keyword(s):

Parameter Estimation ◽

River Basin ◽

Polynomial Chaos ◽

Hydrological Model ◽

Polynomial Chaos Expansion ◽

Chaos Expansion ◽

Distributed Hydrological Model

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Polynomial chaos expansion as a tool to quantify the quality of compact range antenna test chambers under uncertainty

Loughborough Antennas & Propagation Conference 2018 (LAPC 2018) ◽

10.1049/cp.2018.1490 ◽

2018 ◽

Author(s):

R. Wilke ◽

T.M. Gemmer ◽

D. Heberling

Keyword(s):

Polynomial Chaos ◽

Polynomial Chaos Expansion ◽

Chaos Expansion ◽

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A Data-Driven Sparse Polynomial Chaos Expansion Method to Assess Probabilistic Total Transfer Capability for Power Systems with Renewables

IEEE Transactions on Power Systems ◽

10.1109/tpwrs.2020.3034520 ◽

2020 ◽

pp. 1-1

Author(s):

Xiaoting Wang ◽

Xiaozhe Wang ◽

Hao Sheng ◽

Xi Lin

Keyword(s):

Power Systems ◽

Polynomial Chaos ◽

Expansion Method ◽

Polynomial Chaos Expansion ◽

Data Driven ◽

Chaos Expansion ◽

Total Transfer Capability ◽

Sparse Polynomial ◽

Transfer Capability ◽

Sparse Polynomial Chaos Expansion

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Preliminary uncertainty and sensitivity analysis of the Molten Salt Fast Reactor steady-state using a Polynomial Chaos Expansion method

Annals of Nuclear Energy ◽

10.1016/j.anucene.2021.108311 ◽

2021 ◽

Vol 159 ◽

pp. 108311

Author(s):

Mario Santanoceto ◽

Marco Tiberga ◽

Zoltán Perkó ◽

Sandra Dulla ◽

Danny Lathouwers

Keyword(s):

Sensitivity Analysis ◽

Steady State ◽

Molten Salt ◽

Fast Reactor ◽

Polynomial Chaos ◽

Expansion Method ◽

Polynomial Chaos Expansion ◽

Chaos Expansion ◽

Uncertainty And Sensitivity Analysis

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