Search Results - "Sudret, Bruno"

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

Authors: Yang, Junyi Tao, Jinju Sudret, Bruno et al.

Source: International Journal for Numerical Methods in Engineering; 4/15/2020, Vol. 121 Issue 7, p1507-1529, 23p

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

Authors: Moustapha, Maliki Sudret, Bruno

Source: Structural & Multidisciplinary Optimization. Nov2019, Vol. 60 Issue 5, p2157-2176. 20p.

mNARX+: A surrogate model for complex dynamical systems using manifold-NARX and automatic feature selection.

Authors: Schär, Styfen Marelli, Stefano Sudret, Bruno

Source: Computer Methods in Applied Mechanics & Engineering; Feb2026:Part A, Vol. 449, pN.PAG-N.PAG, 1p

MF-GLaM: A multifidelity stochastic emulator using generalized lambda models.

Authors: Giannoukou, Katerina Zhu, Xujia Marelli, Stefano et al.

Source: Computer Methods in Applied Mechanics & Engineering; Jan2026:Part B, Vol. 448, pN.PAG-N.PAG, 1p

Quantile-based optimization under uncertainties using adaptive Kriging surrogate models.

Authors: Moustapha, Maliki Sudret, Bruno Bourinet, Jean-Marc et al.

Source: Structural & Multidisciplinary Optimization. Dec2016, Vol. 54 Issue 6, p1403-1421. 19p.

SEQUENTIAL ACTIVE LEARNING OF LOW-DIMENSIONAL MODEL REPRESENTATIONS FOR RELIABILITY ANALYSIS.

Authors: EHRE, MAX PAPAIOANNOU, IASON SUDRET, BRUNO et al.

Source: SIAM Journal on Scientific Computing; 2022, Vol. 44 Issue 3, pB558-B584, 27p

Reliability-based design optimization using kriging surrogates and subset simulation.

Authors: Dubourg, Vincent Sudret, Bruno Bourinet, Jean-Marc

Source: Structural & Multidisciplinary Optimization. Nov2011, Vol. 44 Issue 5, p673-690. 18p.

Global sensitivity analysis in the context of imprecise probabilities (p-boxes) using sparse polynomial chaos expansions.

Authors: Schöbi, Roland Sudret, Bruno

Source: Reliability Engineering & System Safety. Jul2019, Vol. 187, p129-141. 13p.

Subjects: Polynomial chaos, Global analysis (Mathematics), Monte Carlo method, Sensitivity analysis, Probability theory, Random variables

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

Authors: Moarefzadeh, Mohammad Reza Sudret, Bruno

Source: Quality & Reliability Engineering International. Dec2018, Vol. 34 Issue 8, p1818-1827. 10p. 6 Diagrams, 6 Charts, 1 Graph.

Subjects: Simulation methods & models, Reliability in engineering, Numerical analysis, Mathematics, Computational mathematics

An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis.

Authors: Marelli, Stefano Sudret, Bruno

Source: Structural Safety. Nov2018, Vol. 75, p67-74. 8p.

Subjects: Active learning, Algorithms, Polynomial chaos, Statistical bootstrapping, Structural reliability

Surrogate model uncertainty in wind turbine reliability assessment.

Authors: Slot, René M.M. Sørensen, John D. Sudret, Bruno et al.

Source: Renewable Energy: An International Journal. May2020, Vol. 151, p1150-1162. 13p.

Subject Terms: *Wind turbines, *Wind power, Monte Carlo method, Kriging, Polynomial chaos, Safety factor in engineering, Uncertainty, Mental fatigue

A survey on multi-fidelity surrogates for simulators with functional outputs: Unified framework and benchmark.

Authors: Brunel, Lucas Balesdent, Mathieu Brevault, Loïc et al.

Source: Computer Methods in Applied Mechanics & Engineering; Feb2025, Vol. 435, pN.PAG-N.PAG, 1p

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

Authors: Knabenhans, Mischa Stadel, Joachim Marelli, Stefano et al.

Source: Monthly Notices of the Royal Astronomical Society; Apr2019, Vol. 484 Issue 4, p5509-5529, 21p

Maximum a posteriori estimation for linear structural dynamics models using Bayesian optimization with rational polynomial chaos expansions.

Authors: Schneider, Felix Papaioannou, Iason Sudret, Bruno et al.

Source: Computer Methods in Applied Mechanics & Engineering; Dec2024:Part B, Vol. 432, pN.PAG-N.PAG, 1p

How is a global sensitivity analysis of a catchment-scale, distributed pesticide transfer model performed? Application to the PESHMELBA model.

Authors: Rouzies, Emilie Lauvernet, Claire Sudret, Bruno et al.

Source: Geoscientific Model Development. 2023, Vol. 16 Issue 11, p3137-3163. 27p.

Global sensitivity analysis using low-rank tensor approximations.

Authors: Konakli, Katerina Sudret, Bruno

Source: Reliability Engineering & System Safety. Dec2016, Vol. 156, p64-83. 20p.

Subjects: Approximation theory, Polynomial chaos, Coefficients (Statistics), Sensitivity analysis, Monte Carlo method

Uncertainty propagation of p-boxes using sparse polynomial chaos expansions.

Authors: Schöbi, Roland Sudret, Bruno

Source: Journal of Computational Physics. Jun2017, Vol. 339, p307-327. 21p.

Subjects: Uncertainty (Information theory), Polynomials, Chaos theory, Computer simulation, Computational complexity

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

Authors: Konakli, Katerina Sudret, Bruno

Source: Journal of Computational Physics. Sep2016, Vol. 321, p1144-1169. 26p.

Subjects: Mathematical models, Approximation theory, Polynomials, Numerical analysis, Chaos theory, Multivariate analysis, Exponential functions

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

Authors: Schöbi, Roland Sudret, Bruno

Source: Probabilistic Engineering Mechanics. Apr2017, Vol. 48, p27-38. 12p.

Subjects: Structural reliability, Structural analysis (Engineering), Moment distribution method (Structural analysis), Distribution (Probability theory), Computer simulation, Uncertainty

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

Authors: Konakli, Katerina Sudret, Bruno

Source: Probabilistic Engineering Mechanics. Oct2016, Vol. 46, p18-36. 19p.

Subjects: Reliability in engineering, Approximation theory, Simulation methods & models, Mathematical models, Problem solving, Polynomial chaos