Bruno Sudret
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Civil Engineering
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Applied Physics
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Engineering
Bruno Sudret's Degrees
- PhD Civil Engineering École des ponts ParisTech
- Masters Civil Engineering École des ponts ParisTech
- Bachelors Civil Engineering École des ponts ParisTech
Why Is Bruno Sudret Influential?
(Suggest an Edit or Addition)Bruno Sudret's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Global sensitivity analysis using polynomial chaos expansions (2008) (1842)
- Adaptive sparse polynomial chaos expansion based on least angle regression (2011) (1049)
- An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis (2010) (701)
- UQLab: a framework for uncertainty quantification in MATLAB (2014) (577)
- Metamodel-based importance sampling for structural reliability analysis (2011) (389)
- Stochastic finite element: a non intrusive approach by regression (2006) (385)
- Reliability-based design optimization using kriging surrogates and subset simulation (2011) (376)
- The PHI2 method: a way to compute time-variant reliability (2004) (360)
- Efficient computation of global sensitivity indices using sparse polynomial chaos expansions (2010) (326)
- Sparse polynomial chaos expansions and adaptive stochastic finite elements using a regression approach (2008) (256)
- Analytical derivation of the outcrossing rate in time-variant reliability problems (2008) (233)
- Comparison of finite element reliability methods (2002) (216)
- Polynomial-Chaos-based Kriging (2015) (210)
- A new surrogate modeling technique combining Kriging and polynomial chaos expansions - Application to uncertainty analysis in computational dosimetry (2015) (201)
- Rare Event Estimation Using Polynomial-Chaos Kriging (2017) (194)
- An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis (2017) (147)
- Meta-models for structural reliability and uncertainty quantification (2012) (143)
- Metamodel-based sensitivity analysis: polynomial chaos expansions and Gaussian processes (2016) (142)
- Meta-model-based importance sampling for reliability sensitivity analysis (2014) (131)
- Surrogate-assisted reliability-based design optimization: a survey and a unified modular framework (2019) (94)
- Computing derivative-based global sensitivity measures using polynomial chaos expansions (2014) (91)
- Polynomial meta-models with canonical low-rank approximations: Numerical insights and comparison to sparse polynomial chaos expansions (2015) (91)
- Euclid preparation: II. The EuclidEmulator – a tool to compute the cosmology dependence of the nonlinear matter power spectrum (2018) (88)
- Polynomial chaos expansions and stochastic nite-element methods (2018) (83)
- Data-driven polynomial chaos expansion for machine learning regression (2018) (81)
- Structural reliability analysis for p-boxes using multi-level meta-models (2017) (80)
- Quantile-based optimization under uncertainties using adaptive Kriging surrogate models (2016) (78)
- A general framework for data-driven uncertainty quantification under complex input dependencies using vine copulas (2017) (74)
- Surrogate models for uncertainty quantification: An overview (2017) (71)
- Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark (2020) (69)
- Using sparse polynomial chaos expansions for the global sensitivity analysis of groundwater lifetime expectancy in a multi-layered hydrogeological model (2015) (67)
- Polynomial chaos expansion models for the monitoring of structures under operational variability (2016) (67)
- Probabilistic models for the extent of damage in degrading reinforced concrete structures (2008) (64)
- Global sensitivity analysis using low-rank tensor approximations (2016) (64)
- A unified framework for multilevel uncertainty quantification in Bayesian inverse problems (2016) (62)
- Seismic fragility curves for structures using non-parametric representations (2017) (62)
- Comparative Study of Kriging and Support Vector Regression for Structural Engineering Applications (2018) (56)
- Micropolar multiphase model for materials reinforced by linear inclusions (2000) (53)
- Sequential Design of Experiment for Sparse Polynomial Chaos Expansions (2017) (50)
- Surrogate model uncertainty in wind turbine reliability assessment (2020) (50)
- Uncertainty propagation of p-boxes using sparse polynomial chaos expansions (2016) (49)
- A stochastic finite element procedure for moment and reliability analysis (2006) (49)
- Global sensitivity analysis in the context of imprecise probabilities (p-boxes) using sparse polynomial chaos expansions (2017) (48)
- Polynomial chaos expansion for uncertainty quantification of dam engineering problems (2020) (48)
- Quasi-random numbers in stochastic finite element analysis (2007) (47)
- Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: Application to urban drainage simulation (2017) (46)
- Sparse polynomial chaos expansions of frequency response functions using stochastic frequency transformation (2016) (46)
- Time-variant finite element reliability analysis – application to the durability of cooling towers (2005) (46)
- Multiphase model for inclusion‐reinforced geostructures: Application to rock‐bolted tunnels and piled raft foundations (2001) (44)
- 3-D Spectral Stochastic Finite Element Method in Electromagnetism (2006) (44)
- EXTENDING CLASSICAL SURROGATE MODELING TO HIGH DIMENSIONS THROUGH SUPERVISED DIMENSIONALITY REDUCTION: A DATA-DRIVEN APPROACH (2018) (42)
- Stochastic Analysis of Scattered Field by Building Facades Using Polynomial Chaos (2014) (42)
- Determining Rice Growth Stage with X-Band SAR: A Metamodel Based Inversion (2017) (41)
- Reliability analysis of high-dimensional models using low-rank tensor approximations (2016) (39)
- A two-phase elastoplastic model for unidirectionally-reinforced materials (1999) (39)
- Spectral likelihood expansions for Bayesian inference (2015) (35)
- Numerical Investigations into the Value of Information in Lifecycle Analysis of Structural Systems (2016) (33)
- Sparse polynomial chaos expansions of vector-valued response quantities (2014) (33)
- Parametric hierarchical kriging for multi-fidelity aero-servo-elastic simulators — Application to extreme loads on wind turbines (2017) (33)
- Efficient design of experiments for sensitivity analysis based on polynomial chaos expansions (2017) (32)
- Uncertainty Quantification and Global Sensitivity Analysis for Economic Models (2017) (32)
- Stochastic evaluation of the damage length in RC beams submitted to corrosion of reinforcing steel (2007) (32)
- Surrogate modeling for stochastic dynamical systems by combining nonlinear autoregressive with exogenous input models and polynomial chaos expansions (2016) (32)
- Computing seismic fragility curves using polynomial chaos expansions (2013) (29)
- A fast algorithm for soil dynamics calculations by wavelet decomposition (1998) (29)
- Surrogate Models for Oscillatory Systems Using Sparse Polynomial Chaos Expansions and Stochastic Time Warping (2016) (29)
- A Two-Level Kriging-Based Approach with Active Learning for Solving Time-Variant Risk Optimization Problems (2020) (28)
- Global sensitivity analysis for stochastic simulators based on generalized lambda surrogate models (2019) (26)
- Safety and Reliability of Complex Engineered Systems : ESREL 2015 (2015) (26)
- Active learning for structural reliability: Survey, general framework and benchmark (2021) (26)
- Analyzing natural convection in porous enclosure with polynomial chaos expansions: Effect of thermal dispersion, anisotropic permeability and heterogeneity (2017) (24)
- What is the optimal robust environmental and cost-effective solution for building renovation? Not the usual one (2021) (24)
- Bayesian Multilevel Model Calibration for Inverse Problems Under Uncertainty with Perfect Data (2015) (24)
- Metamodel-based importance sampling for the simulation of rare events (2011) (24)
- Principal component analysis and Least Angle Regression in spectral stochastic finite element analysis (2011) (23)
- Generalized F‐discrepancy‐based point selection strategy for dependent random variables in uncertainty quantification of nonlinear structures (2019) (23)
- A global sensitivity analysis framework for hybrid simulation (2021) (23)
- Statistical method to identify robust building renovation choices for environmental and economic performance (2020) (22)
- Bayesian updating of mechanical models - Application in fracture mechanics (2007) (21)
- Combining Polynomial Chaos Expansions and Kriging (2014) (21)
- Surrogate modeling based on resampled polynomial chaos expansions (2018) (21)
- 3D Spectral Stochastic Finite Element Method in Electromagnetism (2006) (21)
- Hamiltonian Monte Carlo and Borrowing Strength in Hierarchical Inverse Problems (2016) (20)
- Probabilistic assessment of thermal fatigue in nuclear components (2005) (20)
- Bayesian calibration and sensitivity analysis of heat transfer models for fire insulation panels (2019) (20)
- Analysis of covariance (ANCOVA) using polynomial chaos expansions (2013) (20)
- Distribution-based global sensitivity analysis using polynomial chaos expansions (2010) (19)
- Updating the long-term creep strains in concrete containment vessels by using Markov chain Monte Carlo simulation and polynomial chaos expansions (2012) (16)
- Stochastic finite element methods in geotechnical engineering (2008) (16)
- Uncertainty propagation of a multiscale poromechanics-hydration model for poroelastic properties of cement paste at early-age (2013) (16)
- Effective Design for Sobol Indices Estimation Based on Polynomial Chaos Expansions (2016) (16)
- REPLICATION-BASED EMULATION OF THE RESPONSE DISTRIBUTION OF STOCHASTIC SIMULATORS USING GENERALIZED LAMBDA DISTRIBUTIONS (2019) (15)
- Metamodeling for Uncertainty Quantification of a Flood Wave Model for Concrete Dam Breaks (2020) (15)
- Current Calculation in Electrokinetics Using a Spectral Stochastic Finite Element Method (2008) (15)
- Handling Bifurcations in the Optimal Design of Transient Dynamic Problems (2004) (14)
- Extending classical surrogate modelling to ultrahigh dimensional problems through supervised dimensionality reduction: a data-driven approach (2018) (14)
- STOCHASTIC SPECTRAL EMBEDDING (2020) (14)
- Probabilistic assessment of fatigue life including statistical uncertainties in the S-N curve (2003) (14)
- Development of Probabilistic Dam Breach Model Using Bayesian Inference (2018) (14)
- Life-time reliability based assessment of structures submitted to thermal fatigue (2007) (13)
- SURROGATE MODELING OF STOCHASTIC FUNCTIONS-APPLICATION TO COMPUTATIONAL ELECTROMAGNETIC DOSIMETRY (2018) (13)
- Combining polynomial chaos expansions and Kriging for solving structural reliability problems (2014) (13)
- Mapping the drivers of uncertainty in atmospheric selenium deposition with global sensitivity analysis (2019) (13)
- Uncertainty quantification in high-dimensional spaces with low-rank tensor approximations (2015) (12)
- Surrogate modelling for stochastic dynamical systems by combining NARX models and polynomial chaos expansions (2016) (11)
- Response Surfaces based on Polynomial Chaos Expansions (2013) (11)
- The Gaussian Process modelling module in UQLab (2017) (11)
- Emulation of Stochastic Simulators Using Generalized Lambda Models (2020) (11)
- Global sensitivity analysis of a morphology based electromagnetic scattering model (2015) (11)
- ON OPTIMAL EXPERIMENTAL DESIGNS FOR SPARSE POLYNOMIAL CHAOS EXPANSIONS (2017) (11)
- Application of Conditional Random Fields and Sparse Polynomial Chaos Expansions to Geotechnical Problems (2015) (10)
- Speeding Up SSFEM Computation Using Kronecker Tensor Products (2009) (10)
- Propagation of Uncertainties Modelled by Parametric P-boxes Using Sparse Polynomial Chaos Expansions (2015) (10)
- Distribution-based global sensitivity analysis in case of correlated input parameters using polynomial chaos expansions (2011) (10)
- Assessment of the lognormality assumption ofseismic fragility curves using non-parametricrepresentations (2014) (10)
- Automatic selection of basis-adaptive sparse polynomial chaos expansions for engineering applications (2020) (10)
- A new system formulation for the tolerance analysis of overconstrained mechanisms (2015) (10)
- Bio-based materials as a robust solution for building renovation: A case study (2022) (10)
- PC-Kriging: A new meta-modelling method and its application to quantile estimation (2014) (10)
- A Global Sensitivity Analysis Framework for Hybrid Simulation with Stochastic Substructures (2021) (9)
- Uncertainties in the risk assessment of hydropower dams:state-of-the-art and outlook (2016) (9)
- Imprecise structural reliability analysis using PC-Kriging (2015) (9)
- Gaussian process modelling using UQLab (2017) (8)
- Non linear non intrusive stochastic finite element method-A pplication to a fracture mechanics problem (2004) (8)
- Polynomial chaos expansions for damped oscillators (2015) (8)
- Bayesian model inversion using stochastic spectral embedding (2020) (8)
- Hierarchical adaptive polynomial chaos expansions (2015) (8)
- A Bayesian Multilevel Framework for Uncertainty Characterization and the NASA Langley Multidisciplinary UQ Challenge (2014) (8)
- SENSITIVITY ANALYSIS FOR STOCHASTIC SIMULATORS USING DIFFERENTIAL ENTROPY (2020) (8)
- Bootstrap-Polynomial Chaos Expansions and Adaptive Designs for Reliability Analysis (2016) (8)
- Quantile-based optimization under uncertainties using adaptive Kriging surrogate models (2016) (8)
- Uncertainty quantification in urban drainage simulation: fast surrogates for sensitivity analysis and model calibration (2017) (8)
- Sparse polynomial chaos expansions based on an adaptive Least Angle Regression algorithm (2009) (8)
- Using spatial reliability in the probabilistic study of concrete structures: The example of a reinforced concrete beam subjected to carbonatation inducing corrosion (2006) (8)
- A two-stage surrogate modelling approach for the approximation of models with non-smooth outputs (2019) (7)
- Probabilistic LCA and LCC to identify robust and reliable renovation strategies (2019) (7)
- Rare event estimation using stochastic spectral embedding (2021) (7)
- A generalized framework for active learning reliability: survey and benchmark (2021) (7)
- A Bayesian hierarchical modelling for hydropower risk assessment (2017) (7)
- The Gaussian Process Modeling Module in UQLab (2018) (7)
- Low-Rank Tensor Approximations for Reliability Analysis (2015) (7)
- STRUCTURAL RELIABILITY ANALYSIS USING DETERMINISTIC HYBRID SIMULATIONS AND ADAPTIVE KRIGING METAMODELING (2016) (6)
- A comparison of three metamodel-based methods for global sensitivity analysis: GP modelling, HDMR and LAR-gPC (2010) (6)
- Use of polynomial chaos expansions and maximum likelihood estimation for probabilistic inverse problems (2007) (6)
- Probabilistic Inversion for Estimating the Variability of Material Properties: A Bayesian Multilevel Approach (2013) (6)
- The UQLab project: steps toward a global uncertainty quantification community (2019) (5)
- Quantile-based optimization under uncertainties using bootstrap polynomial chaos expansions (2017) (5)
- A hierarchical surrogate-based strategy for reliability-based design optimization (2010) (5)
- Stochastic Dosimetry to manage Uncertainty in Numerical EMF Exposure Assessment (2016) (5)
- Time‐Variant Reliability Problems (2013) (5)
- METAMODELING FOR CRASHWORTHINESS DESIGN: COMPARATIVE STUDY OF KRIGING AND SUPPORT VECTOR REGRESSION (2014) (5)
- Compressive polynomial chaos expansion for multi-dimensional model maps (2015) (5)
- Benchmark of random fields simulation methods and links with identification methods (2011) (5)
- Non-parametric fragility curves for bridges using recorded ground motions (2014) (5)
- Computing seismic fragility curves using non-parametric representations (2014) (5)
- Reliability-based design optimization of an imperfect submarine pressure hull (2011) (5)
- BAYESIAN UPDATING OF THE LONG-TERM CREEP DEFOR- MATIONS IN CONCRETE CONTAINMENT VESSELS (2006) (5)
- Sparse Polynomial Chaos Expansions as a Machine Learning Regression Technique (2015) (4)
- SURROGATE MODELING OF INDOOR DOWN-LINK HUMAN EXPOSURE BASED ON SPARSE POLYNOMIAL CHAOS EXPANSION (2019) (4)
- Fusing Simulation Results From Multifidelity Aero-servo-elastic Simulators - Application To Extreme Loads On Wind Turbine (2015) (4)
- Impact of ploidy and pathogen life cycle on resistance durability (2021) (4)
- Bayesian updating of the long-term creep strains in concrete containment vessels using a non intrusive stochastic finite element method (2007) (4)
- Implementation of directional simulation to estimate outcrossing rates in time‐variant reliability analysis of structures (2018) (4)
- Surrogate-assisted reliability-based design optimization: a survey and a new general framework (2019) (3)
- Elastoplastic analysis of inclusion reinforced structures (1998) (3)
- Application of conditional random fields and sparse polynomial chaos expansions in structural reliability analysis (2017) (3)
- Robust and resilient renovation solutions in different climate change scenarios (2020) (3)
- Introducing spatial variability in the lifetime assessment of a concrete beam submitted to rebars’ corrosion (2006) (3)
- Characterization of random stress fields obtained from polycrystalline aggregate calculations using multi-scale stochastic finite elements (2015) (3)
- Global sensitivity analysis using derivative-based sparse Poincaré chaos expansions (2021) (3)
- Probabilistic Design of Structures Submitted to Fatigue (2013) (3)
- Bayesian Assessment of the Compressive Strength of Structural Masonry (2015) (3)
- Addressing high-dimensionality in reliability analysis using low-rank tensor approximations (2015) (3)
- Covariance-based sensitivity indices based on polynomial chaos functional decomposition (2013) (3)
- Polynomial-Chaos-Kriging (2014) (3)
- Application of a stochastic finite element procedure to reliability analysis (2020) (3)
- Adaptive Kriging reliability-based design optimization of an automotive body structure under crashworthiness constraints (2015) (2)
- A general framework for uncertainty quantification under non-Gaussian input dependencies (2017) (2)
- Meta-model-based importance for reliability sensitivity analysis (2014) (2)
- Introducing stress random fields of polycrystalline aggregates into the local approach to fracture (2013) (2)
- UQLab: an advanced modular software framework for uncertainty quantification (2014) (2)
- PCE-based Sobol’ indices for probability-boxes (2016) (2)
- Multi-level meta-modelling in imprecise structural reliability analysis (2016) (2)
- Multi-objective robust optimization using adaptive surrogate models for problems with mixed continuous-categorical parameters (2022) (2)
- Sparse Polynomial Chaos Expansions: Solvers, Basis Adaptivity and Meta-selection (2020) (2)
- A spectral surrogate model for stochastic simulators computed from trajectory samples (2022) (2)
- AK-PDEMi: A failure-informed enrichment algorithm for improving the AK-PDEM in reliability analysis (2022) (2)
- Sequential Active Learning of Low-Dimensional Model Representations for Reliability Analysis (2021) (2)
- Stochastic polynomial chaos expansions to emulate stochastic simulators (2022) (2)
- Hierarchical Kriging Surrogate of the Seismic Response of a Steel Piping Network Based on Multi-Fidelity Hybrid and Computational Simulators (2017) (2)
- UNCERTAINTY QUANTIFICATION IN THE CLOUD WITH UQCLOUD (2021) (2)
- Increasing contribution of stochastic methods in the characterization of complex systems: Reverberation chamber and urban environment (2013) (2)
- Maximum likelihood estimation and polynomial chaos expansions in stochastic inverse problems (2008) (2)
- Propagation of variability in railway dynamics simulations (2011) (2)
- Service life estimation of the secondary containment with respect to rebar corrosion (2006) (1)
- Spectral Likelihood Expansions and Nonparametric Posterior Surrogates (2016) (1)
- Bayesian Multilevel Model Calibration for Inversion of “Perfect” Data in the Presence of Uncertainty (2014) (1)
- Ingredients for an innovative uncertainty quantification platform in MATLAB (2013) (1)
- Optimal Transportation for Bayesian Inference in Engineering (2015) (1)
- Organizational factors and safety culture (2015) (1)
- Statistical study of the size and spatial distribution of defects in a cast aluminium alloy for the low fatigue life assessment (2022) (1)
- SAFETY AND RELIABILITY OF COMPLEX ENGINEERED SYSTEMS (2015) (1)
- Surrogate-based Bayesian Inversion for the Model Calibration of Fire Insulation Panels (2018) (1)
- PCE-Metamodeling for Inverse Heat Conduction (2015) (1)
- Surrogating the response PDF of stochastic simulators using generalized lambda distributions (2019) (1)
- Adaptive sparse polynomial chaos expansions: A survey (2019) (1)
- Reliability-based design optimization of automotive body structures under crashworthiness constraints (2014) (1)
- Low-Rank Tensor Approximations versus Polynomial Chaos Expansions for Meta-Modeling in High-Dimensional Spaces (2015) (1)
- Random Processes Metamodeling Using Karhunen-Loève Expanssion - Application to Dosimetry (2018) (1)
- Earth heating panels as a low-emitting, cost-effective and robust energy system for building renovation (2021) (1)
- PC-Kriging: the best of polynomial chaos expansions and Gaussian process modelling: the best of polynominal chaos expansions and Gaussian process modelling (2014) (1)
- Statistical inference of 2D random stress fields obtained from polycrystalline aggregate calculations (2012) (1)
- Statistical analysis of scattered field by building facades using polynomial chaos expansion (2015) (1)
- Simulation data used for sensitivity analysis of atmospheric selenium in SOCOL-AER (2019) (1)
- Polynomial chaos expansions for time-dependent problems (2015) (1)
- Maintenance modeling and applications (2015) (1)
- Sparse polynomial chaos expansions in engineering applications (2013) (1)
- Efficient global sensitivity analysis of computer simulation models using an adaptive Least Angle Regression scheme (2008) (1)
- Hierarchical Kriging for multi-fidelity aero-servo-elastic simulators-application to extreme loading on wind turbines (2021) (1)
- How to perform global sensitivity analysis of a catchment-scale, distributed pesticide transfer model ? Application to the PESHMELBA model How to perform global sensitivity analysis of a catchment-scale, distributed pesticide transfer model ? Application to the PESHMELBA model. (2021) (1)
- RELIABILITY-BASED DESIGN OPTIMIZATION OF SHELLS WITH UNCERTAIN GEOMETRY USING ADAPTIVE KRIGING METAMODELS (2011) (1)
- Global sensitivity analysis for models with correlated input parameters (2012) (1)
- Reliability-based design optimization of imperfect shells using adaptive kriging meta-models (2012) (1)
- Surrogate Modeling of Random Functions linked to Population RF Exposure (2017) (1)
- A short review of computational methods for uncertainty quantification in engineering (2013) (0)
- Treatment of Uncertainty in Risk and Reliability Modeling and Decision-Making (2019) (0)
- Derivative-based sensitivity indices based on polynomial chaos expansions (2013) (0)
- Human factors and human reliability analysis (2015) (0)
- Chapter 12 Bayesian Updating Techniques in Structural Reliability (2012) (0)
- Random Processes Metamodeling Applied to Dosimetry (2018) (0)
- Dynamic reliability and PSA (2015) (0)
- Bayesian and statistical methods (2015) (0)
- Reliability data and reliability testing (2015) (0)
- Development and Realization of Validation Benchmarks (2021) (0)
- Stochastic spectral embedding for Bayesian inverse problems (2019) (0)
- Global sensitivity analysis has emerged in the last 15 years as a powerful tool for improving the understanding of complex environmental, industrial or civil systems. In many (2013) (0)
- Probabilistic framework for fatigue analysis (2020) (0)
- Vine copulas for uncertainty quantification: why and how (2019) (0)
- Sparse polynomial chaos expansions for solving high-dimensional UQ problems (2015) (0)
- Socio-technical risk modelling and management (2015) (0)
- Active learning for system reliability analysis using PC-Kriging, subset simulation and sensitivity analysis (2022) (0)
- Summary of the discussion session (2010) (0)
- Editorial: Special Issue of ESREL 2015 (2017) (0)
- Surrogate models for uncertainty quantification and design optimization (2019) (0)
- Bayesian inversion for the calibration of fire experiments on insulation panels (2018) (0)
- Surrogating the Response PDF of Stochastic Simulators Using Parametric & Semi-parametric Representations (2018) (0)
- Bayesian Updating Techniques in Structural Reliability (2013) (0)
- Sparse polynomial chaos expansions - Benchmark of compressive sensing solvers and experimental design techniques (2019) (0)
- Basics of structural reliability and links with structural design codes (2013) (0)
- A unified framework for two-level reliability-based design optimization using metamodels (2019) (0)
- Sequential piecewise PCE approximation of likelihood functions in Bayesian inference (2019) (0)
- Emulating the Response PDF of Stochastic Simulators Using Sparse Generalized Lambda models (2019) (0)
- Vine copula modeling of high-dimensional inputs in uncertainty quantification problems (2017) (0)
- Modelling multivariate inputs with copulas for uncertainty quantification problems (2017) (0)
- Uncertainty Quantification in Engineering (2013) (0)
- Supplementary material to "Mapping the drivers of uncertainty in atmospheric selenium deposition with global sensitivity analysis" (2019) (0)
- Advances in Simulation-Based Uncertainty Quantification and Reliability Analysis (2019) (0)
- GLOBAL SENSITIVITY ANALYSIS OF NATURAL CONVECTION IN POROUS ENCLOSURE EFFECT OF THERMAL DISPERSION, ANISOTROPIC PERMEABILITY AND HETEROGENEITY (2017) (0)
- Global sensitivity analysis using derivative-based sparse Poincar�© chaos expansions (2023) (0)
- A new approach for Bayesian model calibration using stochastic spectral embedding (2019) (0)
- Advanced human RF exposure assessment using FDTD and polynomial chaos expansion (2015) (0)
- Combining feature mapping and Gaussian process modelling in the context of uncertainty quantification (2016) (0)
- Calibrating fire insulation models through Bayesian Inference (2017) (0)
- PROBABILISTIC FRAMEWORK FOR THE ASSESSMENT OF STRUCTURES SUBMITTED TO THERMAL FATIGUE (2005) (0)
- Combining surrogate models by ensemble learning techniques for UQ (2021) (0)
- Quantitative risk assessment (2015) (0)
- Report Data Sheet Report Ref . : RSUQ-2016-008 Title : Uncertainties in the risk assessment of hydropower dams : state-ofthe-art and outlook (2016) (0)
- Combining machine learning and surrogate modeling for data-driven uncertainty propagation in high-dimension (2019) (0)
- Metamodeling methods that incorporate qualitative variables for improved design of vegetative filter strips. (2020) (0)
- Representation and Inference of Complex dependencies through copulas in UQLab (2019) (0)
- Surrogate Modelling and Uncertainty Quantification in Computational Sciences (2020) (0)
- An adaptive algorithm based on spectral likelihood expansion for efficient Bayesian calibration (2019) (0)
- Low-rank tensor approximations for rare-event simulation in high-dimensional spaces (2016) (0)
- SEQUENTIAL ACTIVE LEARNING OF LOW-DIMENSIONAL MODEL (2021) (0)
- Modelling interdependencies and cascades (2015) (0)
- Comparative risk assessment (2015) (0)
- Editorial for the special issue on "sensitivity analysis of model outputs" reliability engineering and system safety (2022) (0)
- Adaptive Designs and Polynomial Chaos Expansions for Structural Reliability Analysis (2017) (0)
- MULTIPHASE MODEL OF REINFORCED MATERIALS (1998) (0)
- Literature survey and benchmarking of sparse polynomial chaos expansions (2019) (0)
- Seismic fragility analysis using stochastic polynomial chaos expansions (2022) (0)
- Polynomial chaos expansions: Part I (2019) (0)
- Safety assessment of cylinder tanks submitted to explosions (2010) (0)
- SPECIAL AREAS: Understanding complexity in socio-technical-economic systems (2015) (0)
- Adaptive Kriging Strategy for Risk Optimization with Time-Dependent Reliability (2019) (0)
- Sensitivity analysis of a drying model concerning c o ncrete delayed strain s in containment vessel s by means of a noni ntrusive method (2007) (0)
- Sparse polynomial chaos expansions and more: Part II (2019) (0)
- Robust multidisciplinary optimization of a low pressure turbine rotor (2014) (0)
- UQLab, a software framework for uncertainty quantification (2015) (0)
- Data-driven regression and uncertainty quantification by polynomial chaos expansions and vine copulas (2018) (0)
- Uncertainty quantification and decision making under uncertainty (2015) (0)
- RELIABILITY ANALYSIS OF COOLING TOWERS : INFLUENCE OF REBARS CORROSION ON FAILURE (2002) (0)
- Methodology for the reliability evaluation of containment vessels repairs through the coupling of finite elements and probabilistic analyses (2003) (0)
- Global sensitivity analysis using derivative-based sparse Poincar\'e chaos expansions (2021) (0)
- Surrogate-assisted reliability-based design optimization: a survey and a unified modular framework (2019) (0)
- Sparse polynomial chaos expansions and application to sensitivity analysis: BOQUSE’2013 – December 18th – INRIA (2013) (0)
- Risk approaches in insurance and finance sectors (2015) (0)
- Mathematical methods in reliability and safety (2015) (0)
- Fetus RF exposure analysis . Preliminary results based on three realistic 3 D digital models (2011) (0)
- A few things I learned from Prof. Armen Der Kiureghian (2015) (0)
- Use of generalized lambda distributions to emulate stochastic simulators (2019) (0)
- Advanced computational methods for structural reliability analysis - applications in civil engineering (2015) (0)
- Polynomial chaos-based metamodeling for solving inverse heat conduction problems (2015) (0)
- Introducing latent variables in polynomial chaos expansions to surrogate stochastic simulators (2022) (0)
- Adaptive Kriging reliability-based design optimization of an automotve body structure under crashworthiness constraints (2015) (0)
- A new moment-independent measure for reliability-sensitivity analysis (2019) (0)
- A Novel Seismic Structural Testing Protocol Based on Hybrid Simulation, Kriging and Active Learning: Methodology and Numerical Examples (2019) (0)
- PCE-based imprecise Sobol' indices (2017) (0)
- Time-variant reliability analysis of cooling towers including corrosion of steel in reinforced concrete Analyse fiabiliste du vieillissement des aéro-réfrigérants dû à la corrosion des armatures (2004) (0)
- Learning non-stationary and discontinuous functions using clustering, classification and Gaussian process modelling (2022) (0)
- Sparse polynomial chaos expansions for uncertainty propagation and sensitivity analysis (2015) (0)
- Reliability and availability optimization (2015) (0)
- Dimensionality reduction and surrogate modelling for high-dimensional UQ problems (2017) (0)
- Prognostics and system health management (2015) (0)
- Hierarchical kriging for combining multi-fidelity hybrid and computational simulators (2017) (0)
- Comparing probabilistic and p-box input modelling in structural reliability analysis (2016) (0)
- Statistical analysis of indoor human exposure based on resampled polynomial chaos expansion (2019) (0)
- Heat transfer models for fire insulation panels: Bayesian calibration and sensitivity analysis (2019) (0)
- Q UANTILE-BASED OPTIMIZATION UNDER UNCERTAINTIES USING ADAPTIVE K RIGING SURROGATE MODELS (2019) (0)
- An active learning reliability algorithm based on local spectral residual expansions of the limit state function (2021) (0)
- Use of generalized lambda models for seismic fragility analysis (2022) (0)
- METHODOLOGY AREAS: Accident and incident investigation and modelling (2015) (0)
- Imprecise probabilities and sparse polynomial chaos expansions (2015) (0)
- Earth Plastered Wall Heating as a Low-Emitting, Cost-Effective and Robust Energy System for Building Renovation (2022) (0)
- Physical and Polynomial Response Surfaces (2013) (0)
- LARS-based ARX PCE metamodel for computing seismic fragility curves (2016) (0)
- A generalized framework for active learning reliability analysis in UQLab (2020) (0)
- Computational methods for uncertainty quantification and sensitivity analysis of complex systems (2013) (0)
- Risk governance and policy making (2015) (0)
- Estimating failure probabilities using an adaptive variant of stochastic spectral embedding (2022) (0)
- Characterization of random stress fields obtained from polycrystalline aggregate calculations using multi-scale stochastic finite elements (2015) (0)
- Software reliability and safety (2015) (0)
- Monte Carlo simulation for RAMS applications (2015) (0)
- From probability-boxes to imprecise failure probabilities using meta-models (2016) (0)
- S PECTRAL LIKELIHOOD EXPANSIONS FOR B AYESIAN INFERENCE (2016) (0)
- Reliability and Optimization of Structural Systems: Proceedings of the 19th IFIP WG-7.5 conference on Reliability and Optimization of Structural Systems, ETH Zurich, Zurich, Switzerland, June 26-29, 2018 (2019) (0)
- Experimental and numerical analysis of transport in a containment vessel (2020) (0)
- Quantification d'incertitudes en simulation, métamodèles et optimisation fiable (2019) (0)
- A global framework for active learning reliability in UQLab (2022) (0)
- Seismic fragility curves for structures using non-parametric representations (2017) (0)
- Crises and emergency management (2015) (0)
- Variance-based sensitivity indices from low-rank tensor approximations with polynomial basis (2017) (0)
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What Schools Are Affiliated With Bruno Sudret?
Bruno Sudret is affiliated with the following schools:
