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Bruno Sudret

Bruno Sudret

D-Index & Metrics

Engineering and Technology

D-Index
55
Citations
17720
World Ranking
2924
National Ranking
48

Overview

Bruno Sudret is affiliated with ETH Zurich in Switzerland. Their research spans multiple fields with a primary focus on decision sciences and engineering, contributing substantially to domains such as statistics, probability and uncertainty, computational theory and mathematics, civil and structural engineering, management science and operations research, and control and systems engineering.

The main topics of Bruno Sudret's work include:

  • Probabilistic and Robust Engineering Design
  • Advanced Multi-Objective Optimization Algorithms
  • Simulation Techniques and Applications
  • Model Reduction and Neural Networks
  • Structural Health Monitoring Techniques
  • Fault Detection and Control Systems
  • Structural Response to Dynamic Loads

Bruno Sudret has published extensively, with notable recent papers including:

  • "Active learning for structural reliability: Survey, general framework and benchmark," 2022, Structural Safety
  • "EXTENDING CLASSICAL SURROGATE MODELING TO HIGH DIMENSIONS THROUGH SUPERVISED DIMENSIONALITY REDUCTION: A DATA-DRIVEN APPROACH," 2020, International Journal for Uncertainty Quantification
  • "What is the optimal robust environmental and cost-effective solution for building renovation? Not the usual one," 2021, Energy and Buildings
  • "Bio-based materials as a robust solution for building renovation: A case study," 2022, Applied Energy
  • "A global sensitivity analysis framework for hybrid simulation," 2020, Mechanical Systems and Signal Processing

The scientist frequently publishes in venues such as:

  • arXiv (Cornell University)
  • Repository for Publications and Research Data (ETH Zurich)
  • International Journal for Uncertainty Quantification
  • Reliability Engineering & System Safety
  • HAL (Le Centre pour la Communication Scientifique Directe)

Collaborations form a significant aspect of Bruno Sudret's scholarly activity. Frequent co-authors include:

  • Stefano Marelli
  • Maliki Moustapha
  • Xujia Zhu
  • Alina Galimshina
  • Guillaume Habert

Best Publications

  • Global sensitivity analysis using polynomial chaos expansions

    Bruno Sudret

  • Adaptive sparse polynomial chaos expansion based on least angle regression

    Géraud Blatman;Bruno Sudret

  • An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis

    Géraud Blatman;Bruno Sudret

  • UQLab: a framework for Uncertainty Quantification in MATLAB

    Stefano Marelli;Bruno Sudret

  • Metamodel-based importance sampling for structural reliability analysis

    V. Dubourg;Bruno Sudret;F. Deheeger

  • Stochastic finite element: a non intrusive approach by regression

    Marc Berveiller;Bruno Sudret;Maurice Lemaire

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

    C. Andrieu-Renaud;Bruno Sudret;Maurice Lemaire

  • Efficient computation of global sensitivity indices using sparse polynomial chaos expansions

    Géraud Blatman;Bruno Sudret

  • Polynomial-Chaos-based Kriging

    Roland Schobi;Bruno Sudret;Joe Wiart

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

    Vincent Dubourg;Bruno Sudret;Jean-Marc Bourinet

  • Comparison of finite element reliability methods

    Bruno Sudret;Armen Der Kiureghian

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

    Bruno Sudret

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

    Géraud Blatman;Bruno Sudret

  • Rare Event Estimation Using Polynomial-Chaos Kriging

    R. Schöbi;Bruno Sudret;Stefano Marelli

  • Active learning for structural reliability: Survey, general framework and benchmark

    Unknown

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

    Stefano Marelli;Bruno Sudret

  • A new surrogate modeling technique combining Kriging and polynomial chaos expansions - Application to uncertainty analysis in computational dosimetry

    Pierric Kersaudy;Bruno Sudret;Nadège Varsier;Odile Picon

  • Meta-model-based importance sampling for reliability sensitivity analysis

    V. Dubourg;Bruno Sudret

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

    Mischa Knabenhans;Joachim Stadel;Stefano Marelli;Doug Potter

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

    Maliki Moustapha;Bruno Sudret

  • Metamodel-based sensitivity analysis: polynomial chaos expansions and Gaussian processes

    Loic Le Gratiet;Stefano Marelli;Bruno Sudret

  • Metamodel-based importance sampling for structural reliability analysis

    Vincent Dubourg;François Deheeger;Bruno Sudret

Frequent Co-Authors

Enrico Zio
Enrico Zio Polytechnic University of Milan
Joe Wiart
Joe Wiart Institut Mines-Télécom
Paul Embrechts
Paul Embrechts ETH Zurich
Eleni Chatzi
Eleni Chatzi ETH Zurich
Anis Younes
Anis Younes University of Strasbourg
Andrea Stenke
Andrea Stenke ETH Zurich
Thomas Peter
Thomas Peter ETH Zurich
Irena Hajnsek
Irena Hajnsek German Aerospace Center

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