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Metamodel-based importance sampling for structural reliability analysis

Probabilistic engineering mechanics, 2013-07, Vol.33, p.47-57

2013

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Meta-model-based importance sampling for reliability sensitivity analysis

Structural safety, 2014-01, Vol.49, p.27-36

2014

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Computing derivative-based global sensitivity measures using polynomial chaos expansions

Reliability engineering & system safety, 2015-02, Vol.134, p.241-250

2015

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A global sensitivity analysis framework for hybrid simulation

Mechanical systems and signal processing, 2021-01, Vol.146, p.106997, Article 106997

2021

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Editorial for the special issue on “sensitivity analysis of model outputs” reliability engineering and system safety

Reliability engineering & system safety, 2022-07, Vol.223, p.108477, Article 108477

2022

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A Two-Level Kriging-Based Approach with Active Learning for Solving Time-Variant Risk Optimization Problems

Reliability engineering & system safety, 2020-11, Vol.203, p.107033, Article 107033

2020

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The PHI2 method: a way to compute time-variant reliability

Reliability engineering & system safety, 2004-04, Vol.84 (1), p.75-86

2004

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Rare event estimation using stochastic spectral embedding

Structural safety, 2022-05, Vol.96, p.102179, Article 102179

2022

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Bayesian calibration and sensitivity analysis of heat transfer models for fire insulation panels

Engineering structures, 2020-02, Vol.205, p.110063, Article 110063

2020

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Development of Probabilistic Dam Breach Model Using Bayesian Inference

Water resources research, 2018-07, Vol.54 (7), p.4376-4400

2018

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Uncertainty propagation of a multiscale poromechanics-hydration model for poroelastic properties of cement paste at early-age

Probabilistic engineering mechanics, 2013-04, Vol.32, p.5-20

2013

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Global sensitivity analysis using low-rank tensor approximations

Reliability engineering & system safety, 2016-12, Vol.156, p.64-83

2016

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Structural reliability analysis for p-boxes using multi-level meta-models

Probabilistic engineering mechanics, 2017-04, Vol.48, p.27-38

2017

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A new system formulation for the tolerance analysis of overconstrained mechanisms

Probabilistic engineering mechanics, 2015-04, Vol.40, p.66-74

2015

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Probabilistic models for the extent of damage in degrading reinforced concrete structures

Reliability engineering & system safety, 2008-03, Vol.93 (3), p.410-422

Sudret, B.

2008

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Spectral likelihood expansions for Bayesian inference

Journal of computational physics, 2016-03, Vol.309, p.267-294

2016

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Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: Application to urban drainage simulation

Reliability engineering & system safety, 2020-03, Vol.195, p.106737, Article 106737

2020

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Probabilistic LCA and LCC to identify robust and reliable renovation strategies

IOP conference series. Earth and environmental science, 2019-08, Vol.323 (1), p.12058

2019

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POLYNOMIAL-CHAOS-BASED KRIGING

International journal for uncertainty quantification, 2015, Vol.5 (2), p.171-193

2015

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Reliability analysis of high-dimensional models using low-rank tensor approximations

Probabilistic engineering mechanics, 2016-10, Vol.46, p.18-36

2016

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3-D Spectral Stochastic Finite Element Method in Electromagnetism

IEEE transactions on magnetics, 2007-04, Vol.43 (4), p.1209-1212

2007

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IEEE_Xplore

Life-time reliability based assessment of structures submitted to thermal fatigue

International journal of fatigue, 2007-07, Vol.29 (7), p.1359-1373

2007

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Quantile-based optimization under uncertainties using adaptive Kriging surrogate models

Structural and multidisciplinary optimization, 2016-12, Vol.54 (6), p.1403-1421

2016

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Surrogate model uncertainty in wind turbine reliability assessment

Renewable energy, 2020-05, Vol.151, p.1150-1162

2020

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Statistical method to identify robust building renovation choices for environmental and economic performance

Building and environment, 2020-10, Vol.183, p.107143, Article 107143

2020

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Metamodel-based importance sampling for structural reliability analysis

Meta-model-based importance sampling for reliability sensitivity analysis

Computing derivative-based global sensitivity measures using polynomial chaos expansions

A global sensitivity analysis framework for hybrid simulation

Editorial for the special issue on “sensitivity analysis of model outputs” reliability engineering and system safety

A Two-Level Kriging-Based Approach with Active Learning for Solving Time-Variant Risk Optimization Problems

The PHI2 method: a way to compute time-variant reliability

Rare event estimation using stochastic spectral embedding

Bayesian calibration and sensitivity analysis of heat transfer models for fire insulation panels

Development of Probabilistic Dam Breach Model Using Bayesian Inference

Uncertainty propagation of a multiscale poromechanics-hydration model for poroelastic properties of cement paste at early-age

Global sensitivity analysis using low-rank tensor approximations

Structural reliability analysis for p-boxes using multi-level meta-models

A new system formulation for the tolerance analysis of overconstrained mechanisms

Probabilistic models for the extent of damage in degrading reinforced concrete structures

Spectral likelihood expansions for Bayesian inference

Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: Application to urban drainage simulation

Probabilistic LCA and LCC to identify robust and reliable renovation strategies

POLYNOMIAL-CHAOS-BASED KRIGING

Reliability analysis of high-dimensional models using low-rank tensor approximations

3-D Spectral Stochastic Finite Element Method in Electromagnetism

Life-time reliability based assessment of structures submitted to thermal fatigue

Quantile-based optimization under uncertainties using adaptive Kriging surrogate models

Surrogate model uncertainty in wind turbine reliability assessment

Statistical method to identify robust building renovation choices for environmental and economic performance

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