Bayesian methodology for updating geomechanical parameters and uncertainty quantification

International Journal of Rock Mechanics and Mining Sciences ◽

10.1016/j.ijrmms.2009.03.008 ◽

2009 ◽

Vol 46 (7) ◽

pp. 1144-1153 ◽

Author(s):

T. Miranda ◽

A. Gomes Correia ◽

L. Ribeiro e Sousa

Keyword(s):

Uncertainty Quantification ◽

Bayesian Methodology ◽

Geomechanical Parameters

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Bayesian methodology for diagnosis uncertainty quantification and health monitoring

Structural Control and Health Monitoring ◽

10.1002/stc.476 ◽

2011 ◽

Vol 20 (1) ◽

pp. 88-106 ◽

Author(s):

Shankar Sankararaman ◽

Sankaran Mahadevan

Keyword(s):

Uncertainty Quantification ◽

Health Monitoring ◽

Bayesian Methodology

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Application of Stochastic Method for Geomechanical Parameters Under Uncertainty Quantification to Design Mud Window

10.3997/2214-4609.202010425 ◽

2020 ◽

Author(s):

M.A. Ebrahimi ◽

M.J. Ameri ◽

M. Ahmadi

Keyword(s):

Uncertainty Quantification ◽

Stochastic Method ◽

Geomechanical Parameters

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Bayesian Methodology for Uncertainty Quantification in Complex Engineering Systems

Numerical Methods for Reliability and Safety Assessment ◽

10.1007/978-3-319-07167-1_3 ◽

2014 ◽

pp. 117-146

Author(s):

Shankar Sankararaman ◽

Sankaran Mahadevan

Keyword(s):

Uncertainty Quantification ◽

Engineering Systems ◽

Bayesian Methodology ◽

Complex Engineering ◽

Complex Engineering Systems

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Parameter Estimation and Uncertainty Quantification in Water Resources Modeling

10.3389/978-2-88963-674-7 ◽

2020 ◽

Keyword(s):

Parameter Estimation ◽

Water Resources ◽

Uncertainty Quantification

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UNCERTAINTY QUANTIFICATION TOWARDS FILTERING OPTIMIZATION IN SCENE MATCHING AIDED NAVIGATION SYSTEMS

International Journal for Uncertainty Quantification ◽

10.1615/int.j.uncertaintyquantification.2016016561 ◽

2016 ◽

Vol 6 (2) ◽

pp. 127-140

Author(s):

Shengdi Zhang ◽

Xiaojun Duan ◽

Lijun Peng

Keyword(s):

Uncertainty Quantification ◽

Navigation Systems ◽

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INVERSE UNCERTAINTY QUANTIFICATION OF A CELL MODEL USING A GAUSSIAN PROCESS METAMODEL

International Journal for Uncertainty Quantification ◽

10.1615/int.j.uncertaintyquantification.2020033186 ◽

2020 ◽

Vol 10 (4) ◽

pp. 333-349

Author(s):

Kevin de Vries ◽

Anna Nikishova ◽

Benjamin Czaja ◽

Gábor Závodszky ◽

Alfons G. Hoekstra

Keyword(s):

Gaussian Process ◽

Uncertainty Quantification ◽

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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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Generalized Polynomial Chaos Based Stochastic Collocation on the Uncertainty Quantification of CMOS Active Filter Circuits

2019 11th International Conference on Electrical and Electronics Engineering (ELECO) ◽

10.23919/eleco47770.2019.8990660 ◽

2019 ◽

Author(s):

Mecit Emre Duman ◽

Onder Suvak

Keyword(s):

Uncertainty Quantification ◽

Polynomial Chaos ◽

Active Filter ◽

Stochastic Collocation ◽

Generalized Polynomial Chaos ◽

Generalized Polynomial

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Reliability analysis of the piles of Porto Novo quay (Brazil) employing bayesian methodology

Geotecnia ◽

10.24849/j.geot.2017.141.02 ◽

2017 ◽

Vol 141 ◽

pp. 19-39

Author(s):

Aline de Viegas Beloni ◽

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◽

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Antonio Marcos Lima Alves ◽

...

Keyword(s):

Reliability Analysis ◽

Bayesian Methodology ◽

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