Bruno Sudret

Bruno Sudret, Jean-Marc Bourinet, Maliki Moustapha, 2018, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering.

Using sparse polynomial chaos expansions for the global sensitivity analysis of groundwater lifetime expectancy in a multi-layered hydrogeological model

Bruno Sudret, G. Deman, J. Kerrou, 2015, Reliab. Eng. Syst. Saf..

UQLab: Une plate-forme pour la quantification des incertitudes sous Matlab: une plate-forme pour la quantification des incertitudes sous Matlab

Stefano Marelli, Bruno Sudret, 2014 .

Bayesian updating of the long-term creep strains in concrete containment vessels using a non intrusive stochastic finite element method

Bruno Sudret, Yann Le Pape, Marc Berveiller, 2007 .

Emulating the Response PDF of Stochastic Simulators Using Sparse Generalized Lambda models

Bruno Sudret, Xujia Zhu, 2019 .

A Bayesian Multilevel Framework for Uncertainty Characterization and the NASA Langley Multidisciplinary UQ Challenge

Bruno Sudret, Joseph B. Nagel, B. Sudret, 2014 .

Bayesian Assessment of the Compressive Strength of Structural Masonry

Bruno Sudret, Nebojša Mojsilović, Joseph B. Nagel, 2015 .

Computational methods for uncertainty quantification and sensitivity analysis of complex systems

Bruno Sudret, 2013 .

Polynomial meta-models with canonical low-rank approximations: Numerical insights and comparison to sparse polynomial chaos expansions

Bruno Sudret, Katerina Konakli, B. Sudret, 2015, J. Comput. Phys..

A TWO-STAGE SURROGATE MODELING APPROACH FOR THE APPROXIMATION OF MODELS WITH NON-SMOOTH OUTPUTS

Bruno Sudret, Maliki Moustapha, B. Sudret, 2019, Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019).

An adaptive algorithm based on spectral likelihood expansion for efficient Bayesian calibration

Stefano Marelli, Bruno Sudret, Paul-Remo Wagner, 2019 .

Efficient computation of global sensitivity indices using sparse polynomial chaos expansions

Bruno Sudret, Géraud Blatman, B. Sudret, 2010, Reliab. Eng. Syst. Saf..

Sequential Design of Experiment for Sparse Polynomial Chaos Expansions

Stefano Marelli, Bruno Sudret, Noura Fajraoui, 2017, SIAM/ASA J. Uncertain. Quantification.

Ingredients for an innovative uncertainty quantification platform in MATLAB

Stefano Marelli, Bruno Sudret, 2013 .

Bayesian Updating Techniques in Structural Reliability

Bruno Sudret, B. Sudret, 2013 .

Adaptive Kriging reliability-based design optimization of an automotive body structure under crashworthiness constraints

Bruno Sudret, Jean-Marc Bourinet, Maliki Moustapha, 2015 .

Probabilistic Inversion for Estimating the Variability of Material Properties: A Bayesian Multilevel Approach

Bruno Sudret, Joseph B. Nagel, 2013 .

A TWO-STAGE SURROGATE MODELING APPROACH FOR THE APPROXIMATION OF MODELS WITH NON-SMOOTH OUTPUTS

Bruno Sudret, Maliki Moustapha, B. Sudret, 2019, Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019).

Global sensitivity analysis using low-rank tensor approximations

Bruno Sudret, Katerina Konakli, B. Sudret, 2016, Reliab. Eng. Syst. Saf..

Bayesian updating of mechanical models - Application in fracture mechanics

Bruno Sudret, Maurice Pendola, Frédéric Perrin, 2007 .

Surrogate-assisted reliability-based design optimization: a survey and a unified modular framework

Bruno Sudret, Maliki Moustapha, B. Sudret, 2019, Structural and Multidisciplinary Optimization.

Updating the long-term creep strains in concrete containment vessels by using Markov chain Monte Carlo simulation and polynomial chaos expansions

Bruno Sudret, Marc Berveiller, Frédéric Perrin, 2012 .

Combining machine learning and surrogate modeling for data-driven uncertainty propagation in high-dimension

Stefano Marelli, Bruno Sudret, Christos Lataniotis, 2019 .

Bootstrap-Polynomial Chaos Expansions and Adaptive Designs for Reliability Analysis

Stefano Marelli, Bruno Sudret, S. Marelli, 2016 .

Implementation of directional simulation to estimate outcrossing rates in time-variant reliability analysis of structures

Bruno Sudret, Mohammad Reza Moarefzadeh, 2018, Qual. Reliab. Eng. Int..

Sequential piecewise PCE approximation of likelihood functions in Bayesian inference

Stefano Marelli, Bruno Sudret, Paul-Remo Wagner, 2019 .

Sparse Polynomial Chaos Expansions as a Machine Learning Regression Technique

Bruno Sudret, B. Sudret, 2015 .

Fusing Simulation Results From Multifidelity Aero-servo-elastic Simulators - Application To Extreme Loads On Wind Turbine

John Dalsgaard Sørensen, Bruno Sudret, Anand Natarajan, 2015 .

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

Bruno Sudret, Joseph B. Nagel, Jorg Rieckermann, 2017, Reliability Engineering & System Safety.

Comparing probabilistic and p-box input modelling in structural reliability analysis

Bruno Sudret, Roland Schöbi, 2016 .

Un modèle homogénéisé pour le boulonnage du front de taille des tunnels: simulation d'essais en centrifugeuse

Bruno Sudret, Denis Garnier, Jean-François Semblat, 2001 .

Global sensitivity analysis for stochastic simulators based on generalized lambda surrogate models

Bruno Sudret, Xujia Zhu, B. Sudret, 2019, Reliab. Eng. Syst. Saf..

Uncertainty propagation of p-boxes using sparse polynomial chaos expansions

Bruno Sudret, Roland Schöbi, R. Schöbi, 2016, J. Comput. Phys..

Effective Design for Sobol Indices Estimation Based on Polynomial Chaos Expansions

Bruno Sudret, Evgeny Burnaev, Ivan Panin, 2016, COPA.

UQLab: an advanced modular software framework for uncertainty quantification

Stefano Marelli, Bruno Sudret, 2014 .

Random Processes Metamodeling Using Karhunen-Loève Expanssion - Application to Dosimetry

Joe Wiart, Bruno Sudret, Soumaya Azzi, 2018 .

Adaptive Kriging Strategy for Risk Optimization with Time-Dependent Reliability

Bruno Sudret, Maliki Moustapha, André Teófilo Beck, 2019 .

A global sensitivity analysis framework for hybrid simulation with stochastic substructures

Stefano Marelli, Bruno Sudret, Bozidar Stojadinovic, 2021 .

Sequential active learning of low-dimensional model representations for reliability analysis

Iason Papaioannou, Daniel Straub, Bruno Sudret, 2021 .

Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark

Stefano Marelli, Bruno Sudret, Nora Lüthen, 2021, SIAM/ASA J. Uncertain. Quantification.

An active learning reliability algorithm based on local spectral residual expansions of the limit state function

Iason Papaioannou, Daniel Straub, Stefano Marelli, 2021 .

Global sensitivity analysis using derivative-based sparse Poincar\'e chaos expansions

Stefano Marelli, Bruno Sudret, Olivier Roustant, 2021 .

Automatic selection of basis-adaptive sparse polynomial chaos expansions for engineering applications

Stefano Marelli, Bruno Sudret, Nora Luthen, 2020, International Journal for Uncertainty Quantification.

What is the optimal robust environmental and cost-effective solution for building renovation? Not the usual one

Bruno Sudret, Sébastien Lasvaux, Guillaume Habert, 2021 .

Combining surrogate models by ensemble learning techniques for UQ

Stefano Marelli, Bruno Sudret, Christos Lataniotis, 2021 .

Stochastic Dosimetry to manage Uncertainty in Numerical EMF Exposure Assessment

Raj Mittra, Joe Wiart, Bruno Sudret, 2016 .

Quasi-random numbers in stochastic finite element analysis

Bruno Sudret, Géraud Blatman, M. Berveiller, 2007 .

Metamodeling for Uncertainty Quantification of a Flood Wave Model for Concrete Dam Breaks

Calvin A. Whealton, Stefano Marelli, Bruno Sudret, 2020, Energies.

Euclid preparation: II. The EuclidEmulator – a tool to compute the cosmology dependence of the nonlinear matter power spectrum

Stefano Marelli, Bruno Sudret, Joachim Stadel, 2018, Monthly Notices of the Royal Astronomical Society.

Uncertainty quantification in high-dimensional spaces with low-rank tensor approximations

Bruno Sudret, Katerina Konakli, B. Sudret, 2015 .

Distribution-based global sensitivity analysis using polynomial chaos expansions

Bruno Sudret, Yann Caniou, B. Sudret, 2010 .

Micropolar multiphase model for materials reinforced by linear inclusions

Bruno Sudret, Patrick de Buhan, 2000 .

Principal component analysis and Least Angle Regression in spectral stochastic finite element analysis

Bruno Sudret, Géraud Blatman, B. Sudret, 2011 .

A fast algorithm for soil dynamics calculations by wavelet decomposition

Bruno Sudret, M. Lieb, B. Sudret, 1998 .

Surrogate modeling for stochastic dynamical systems by combining nonlinear autoregressive with exogenous input models and polynomial chaos expansions

Bruno Sudret, Eleni Chatzi, Minas Spiridonakos, 2016 .

A general framework for uncertainty quantification under non-Gaussian input dependencies

Stefano Marelli, Bruno Sudret, Paul Embrechts, 2017 .

Stochastic Analysis of Scattered Field by Building Facades Using Polynomial Chaos

Joe Wiart, Shermila Mostarshedi, Bruno Sudret, 2014, IEEE Transactions on Antennas and Propagation.

Low-Rank Tensor Approximations for Reliability Analysis

Bruno Sudret, Katerina Konakli, B. Sudret, 2015 .

Addressing high-dimensionality in reliability analysis using low-rank tensor approximations

Bruno Sudret, Katerina Konakli, B. Sudret, 2015 .

Low-Rank Tensor Approximations versus Polynomial Chaos Expansions for Meta-Modeling in High-Dimensional Spaces

Bruno Sudret, Katerina Konakli, B. Sudret, 2015 .

Sparse polynomial chaos expansions of vector-valued response quantities

Bruno Sudret, Géraud Blatman, B. Sudret, 2014 .

Generalized F‐discrepancy‐based point selection strategy for dependent random variables in uncertainty quantification of nonlinear structures

Bruno Sudret, Jianbing Chen, Jianbing Chen, 2019, International Journal for Numerical Methods in Engineering.

Sparse polynomial chaos expansions and adaptive stochastic finite elements using a regression approach

Bruno Sudret, Géraud Blatman, B. Sudret, 2008 .

Polynomial-Chaos-Kriging

Bruno Sudret, Roland Schöbi, R. Schöbi, 2014 .

Analyzing natural convection in porous enclosure with polynomial chaos expansions: Effect of thermal dispersion, anisotropic permeability and heterogeneity

Bruno Sudret, Marwan Fahs, Anis Younes, 2017 .

Response Surfaces based on Polynomial Chaos Expansions

Bruno Sudret, Géraud Blatman, Marc Berveiller, 2013 .

Comparison of finite element reliability methods

Armen Der Kiureghian, Bruno Sudret, A. Kiureghian, 2002 .

Using spatial reliability in the probabilistic study of concrete structures: The example of a reinforced concrete beam subjected to carbonatation inducing corrosion

Bruno Sudret, G. Defaux, M. Pendola, 2006 .

A two-phase elastoplastic model for unidirectionally-reinforced materials

Bruno Sudret, Patrick de Buhan, B. Sudret, 1999 .

A new system formulation for the tolerance analysis of overconstrained mechanisms

Nicolas Gayton, Jean-Yves Dantan, Bruno Sudret, 2015 .

Time-variant finite element reliability analysis – application to the durability of cooling towers

Bruno Sudret, G. Defaux, M. Pendola, 2005 .

Use of polynomial chaos expansions and maximum likelihood estimation for probabilistic inverse problems

Bruno Sudret, Géraud Blatman, Maurice Pendola, 2007 .

Non linear non intrusive stochastic finite element method-A pplication to a fracture mechanics problem

Bruno Sudret, Maurice Lemaire, M. Lemaire, 2004 .

A stochastic finite element procedure for moment and reliability analysis

Bruno Sudret, Maurice Lemaire, M. Lemaire, 2006 .

Elastoplastic analysis of inclusion reinforced structures

Bruno Sudret, Denise Bernaud, Samir Maghous Patrick de Buhan, 1998 .

Uncertainty Quantification and Global Sensitivity Analysis for Economic Models

Stefano Marelli, Bruno Sudret, Viktor Winschel, 2017, Quantitative Economics.

Sparse polynomial chaos expansions based on an adaptive Least Angle Regression algorithm

Bruno Sudret, Géraud Blatman, 2009 .

Non-parametric fragility curves for bridges using recorded ground motions

Kevin R. Mackie, Bruno Sudret, Katerina Konakli, 2014 .

Combining Polynomial Chaos Expansions and Kriging

Joe Wiart, Bruno Sudret, Roland Schöbi, 2014 .

Propagation of variability in railway dynamics simulations

Bruno Sudret, C Funfschilling, G Perrin, 2011 .

Polynomial chaos expansions for damped oscillators

Bruno Sudret, Chu V. Mai, 2015 .

Polynomial chaos expansions and stochastic finite element methods

Bruno Sudret, B. Sudret, 2015 .

Handling Bifurcations in the Optimal Design of Transient Dynamic Problems

Bruno Sudret, Samy Missoum, Samir Ben Chaabane, 2004 .

Analysis of covariance (ANCOVA) using polynomial chaos expansions

Bruno Sudret, Yves Caniou, Y. Caniou, 2013 .

Time‐Variant Reliability Problems

Bruno Sudret, 2013 .

Stochastic finite element methods in geotechnical engineering

Bruno Sudret, M. Berveiller, B. Sudret, 2008 .

Analytical derivation of the outcrossing rate in time-variant reliability problems

Bruno Sudret, B. Sudret, 2008 .

Distribution-based global sensitivity analysis in case of correlated input parameters using polynomial chaos expansions

Bruno Sudret, Yann Caniou, 2011 .