European Training Network on Grey-Box Models for Safe and Reliable Intelligent Mobility Systems

Informations projet

GREYDIENT

N° de convention de subvention: 955393

DOI

10.3030/955393

Projet clôturé

Date de signature de la CE 19 Août 2020

Date de début 1 Janvier 2021

Date de fin 31 Decembre 2024

Financé au titre de

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coût total

€ 3 938 269,68

Contribution de l’UE

€ 3 938 269,68

Coordonné par

KATHOLIEKE UNIVERSITEIT LEUVEN
Belgium

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (3)

15 PhD degrees awarded

15 PhD degrees awarded (between M44 – M53)

Second peer reviewed paper by all ESRs
First peer reviewed paper by all ESRs

First peer reviewed paper by the ESRs

Other (2)

USD2022 special GREYDIENT session

Special GREYDIENT session during ISMA-USD2022

Symposium

GREYDIENT symposium, as described in the proposal

Websites, patent fillings, videos etc. (4)

Pitch videos

By the end of the project, 30 ESR pitch videos will be uploaded to YouTubeMonthly after M18 to M48

2 Overview movies

2 overview movies of the project: one at M8, another at M46

8 Newsletters

During the project, 8 newsletters will be distributed.Specifically, they will be distributed in months 6, 12, 18, 24, 30, 36, 42, 48

Project website

Project website general info and recruitment

Publications

Conference proceedings (42)

Exploring multi-fidelity noisy data: Methods and real-world examples

Auteurs: Katerina Giannoukou, Paolo Ascia, Stefano Marelli, Fabian Duddeck and Bruno Sudret
Publié dans: ISMA-USD Proceedings, 2024
Éditeur: KU Leuven Department of Mechanical Engineering

Grey-Box Models for Cyber-Physical Systems Reliability, Safety and Resilience Assessment

Auteurs: Juan-Pablo Futalef, Francesco Di Maio, Enrico Zio
Publié dans: Book of Extended Abstracts for the 32nd European Safety and Reliability Conference, 2023, Page(s) 2757-2764
Éditeur: Research Publishing Services
DOI: 10.3850/978-981-18-5183-4_s20-05-564-cd

Near-real-time online process control using grey-box models

Auteurs: Dodt, Miriam B.; Persoons, Augustin; Faes, Matthias G. R.; Moens, David
Publié dans: proceedings of the 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14), 2023, Numéro 14, 2023
Éditeur: Trinity College
DOI: 10.5281/zenodo.8255763

Grey-box Approach for the Prognostic and Health Management of Lithium-Ion Batteries

Auteurs: Francesco Cancelliere, Sylvain Girard, Jean-Marc Bourinet, Matteo Broggi
Publié dans: Annual Conference of the PHM Society, Numéro 15, 2023, ISSN 2325-0178
Éditeur: PHM Society
DOI: 10.36001/phmconf.2023.v15i1.3506

Determination of the random spatial variation of the bending stiffness in composite materials

Auteurs: Gavallas, Panagiotis; Tsivolas, Eleftherios; Stefanou, George
Publié dans: EUROMECH Colloquium 642, 2024
Éditeur: Sapienza University of Rome
DOI: 10.5281/zenodo.14033483

First-passage Probability Estimation of Stochastic Dynamic Systems by a Parametric Approach

Auteurs: Chen Ding, Chao Dang, Matteo Broggi, Michael Beer
Publié dans: 8th International Symposium on Reliability Engineering and Risk Management, Numéro 4th - 7th September, 2022, 2023, Page(s) 40-46
Éditeur: Research Publishing Services
DOI: 10.3850/978-981-18-5184-1_ms-01-175-cd

The effect of noise on reliability analysis

Auteurs: Pires, Anderson; Moustapha, Maliki; id_orcid0000-0002-1138-4666; Marelli, Stefano; id_orcid0000-0002-9268-9014; Sudret, Bruno; id_orcid0000-0002-9501-7395
Publié dans: Proceedings of the 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2022), Oslo, Norway, June 5-9, 2022, Numéro 6, 2022, ISBN 9788412322286
Éditeur: ECCOMAS
DOI: 10.5281/zenodo.14186841

Unsupervised Representation Learning of Complex Time Series for Maneuverability State Identification in Smart Mobility

Auteurs: Lebese, Thabang
Publié dans: Proc. 16 th International Conference on Agents and Artificial Intelligence (ICAART 2024), 2024, Page(s) 12
Éditeur: ICAART
DOI: 10.5281/zenodo.13735693

A Grey-Box Digital Twin-Based Approach for Risk Monitoring of Nuclear Power Plants

Auteurs: Leonardo Miqueles, Ibrahim Ahmed, Francesco Di Maio, Enrico Zio
Publié dans: Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022), Numéro 28th of August – 1st of September, 2022, 2022
Éditeur: Research Publishing

A new scheme combining adaptive Kriging with adaptative variance-reduction using Gaussian mixture importance sampling

Auteurs: Persoons, Augustin; Wei, Pengfei; Bogaerts, Lars; Moens, David; Broggi, Matteo; Beer, Michael
Publié dans: USD 2022, Numéro 3, 2023
Éditeur: KU Leuven Mecha(tro)nic System Dynamics (LMSD) department
DOI: 10.5281/zenodo.7568688

A parallel Bayesian interval optimization approach for static analysis of structures with interval uncertainties

Auteurs: Chen Ding, Chao Dang, Matteo Broggi, Michael Beer
Publié dans: 14th International Conference on Applications of Statistics and Probability in Civil Engineering, Numéro 9th - 13th of July 2023, 2023
Éditeur: Trinity College Dublin
DOI: 10.5281/zenodo.10220655

A SELF-LEARNING DIGITAL TWIN FOR PROCESS CONTROL OF FAST PROCESSES UNDER UNCERTAINTY

Auteurs: Miriam B. Dodt, Augustin Persoons, Matthias G. R. Faes, David Moens
Publié dans: Proceedings of the 5th International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019), 5th International Conference on Uncertainty Quantification in Computational Sciences and Engineering, 2023
Éditeur: Institute of Structural Analysis and Antiseismic Research National Technical University of Athens
DOI: 10.7712/120223.10352.19909

Management of a free-floating electrical scooters fleet

Auteurs: Cancelliere Francesco; Girard Sylvain
Publié dans: Congrès Lambda Mu 23 « Innovations et maîtrise des risques pour un avenir durable, 2022
Éditeur: Institut pour la Maîtrise des Risques
DOI: 10.5281/zenodo.8090807

Random Field Modeling of the Mechanical Properties of Graphene Nano-platelets

Auteurs: Panagiotis Gavallas, Dimitrios Savvas, George Stefanou
Publié dans: 14th International Conference on Applications of Statistics and Probability in Civil Engineering, Numéro 9th - 13th July 2023, 2023
Éditeur: Trinity College Dublin
DOI: 10.5281/zenodo.10906215

A transfer learning framework for crashworthiness analysis based on sphere projection and PointNN

Auteurs: Giada Colella, Volker A. Lange, and Fabian Duddeck
Publié dans: ISMA-USD proceedings, 2024
Éditeur: KU Leuven Department of Mechanical Engineering

Multifidelity surrogate modelling with noisy grey-box models

Auteurs: Giannoukou, Aikaterini; Marelli, Stefano; id_orcid0000-0002-9268-9014; Sudret, Bruno; id_orcid0000-0002-9501-7395
Publié dans: MASCOT-NUM Annual Meeting 2022, Clermont Ferrand, France, June 7-9, 2022, 2022
Éditeur: MascotNum
DOI: 10.3929/ethz-b-000588908

Separable Physics-Informed Neural Networks for Robust Inverse Quantification in Solid Mechanics

Auteurs: Bonnet Eymard, Damien; Persoons, Augustin; Faes, Matthias G.R.; Moens, David
Publié dans: Proceedings of the The 9th International Symposium on Reliability Engineering and Risk Management (ISRERM 2024), Numéro 9, 2025
Éditeur: RESEARCH PUBLISHING
DOI: 10.5281/zenodo.14039660

QUANTIFYING THE EPISTEMIC UNCERTAINTY LINKED TO THE DEVELOPMENT PROCESS OF AN EARLY-STAGE COMPONENT FOR CRASHWORTHINESS

Auteurs: Paolo Ascia, Matthias G. R. Faes, Fabian Duddeck
Publié dans: Proceedings of the 5th International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019), 5th International Conference on Uncertainty Quantification in Computational Sciences and Engineering, 2023, Page(s) 466-477
Éditeur: Institute of Structural Analysis and Antiseismic Research National Technical University of Athens
DOI: 10.7712/120223.10350.19704

A Classification Problem Formulation for the Reliability Assessment of End-To-End Communication Among Cyber Devices in Cyber-Physical Systems

Auteurs: Juan-Pablo Futalef, Francesco Di Maio, Enrico Zio
Publié dans: 8th International Conference on System Reliability and Safety, 2024
Éditeur: IEEE

AN UNIFIED ENRICHMENT STRATEGY FOR RELIABILITY-BASED DESIGN OPTIMIZATION USING ADAPTIVE KRIGING AND ZERO-ORDER ALGORITHMS

Auteurs: Alessio Faraci, Pierre Beaurepaire, Nicolas Gayton
Publié dans: Proceedings of the 5th International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019), 5th International Conference on Uncertainty Quantification in Computational Sciences and Engineering, 2023, Page(s) 478-485
Éditeur: Institute of Structural Analysis and Antiseismic Research National Technical University of Athens
DOI: 10.7712/120223.10351.19782

New insights on reliability analysis for stochastic simulators using surrogate models

Auteurs: Anderson V. Pires, Maliki Moustapha, Stefano Marelli, Bruno Sudret
Publié dans: ISMA-USD proceedings, 2024
Éditeur: KU Leuven
DOI: 10.5281/zenodo.14187066

Enhancing Reliability-Based Design Optimization through adaptive Kriging and gradient-free optimization

Auteurs: Faraci, Alessio; Beaurepaire, Pierre; Gayton, Nicolas
Publié dans: ISMA-USD proceedings, 2024
Éditeur: KU Leuven Department of Mechanical Engineering
DOI: 10.5281/zenodo.14207477

Physics-Informed Neural Networks to propagate random field properties of composite materials

Auteurs: Bonnet Eymard, Damien; Persoons, Augustin; Gavallas, Panagiotis; Moens, David; Faes, Matthias G.R.; Stefanou, George
Publié dans: ISMA-USD 2024, Numéro 4, 2024
Éditeur: KU Leuven Mecha(tro)nic System Dynamics (LMSD) department
DOI: 10.5281/zenodo.13907104

Enhanced Scenario Generation for Integrated-Power and Telecommunication Infrastructures Using the RESTART Sampling Technique

Auteurs: Juan-Pablo Futalef, Francesco Di Maio, Enrico Zio
Publié dans: 6th International Conference on System Reliability and Safety, 2022
Éditeur: IEEE

A multifidelity framework for grey-box modelling of automated welding processes

Auteurs: Dodt, Miriam Beatrice; Bogaerts, Lars; Persoons, Augustin; Matthias G.R., Faes; Moens, David
Publié dans: Proceedings of ISMA2024 International Conference on Noise and Vibration Engineering USD2024 International Conference on Uncertainty in Structural Dynamics, Numéro 19, 2024
Éditeur: KU Leuven Department of Mechanical Engineering LMSD (Mecha(tro)nic System Dynamics)

Enhancing development flexibility: a grey-box strategy for adapting to unforeseen adverse conditions

Auteurs: Ascia, Paolo; Duddeck, Fabian
Publié dans: Proceedings of ISMA/USD2024, 2024, Page(s) 1-14
Éditeur: ISMA/USD
DOI: 10.5281/zenodo.13933792

A finite element model of component solution space for early stage design uncertainties

Auteurs: Ascia, Paolo; Kaps, Arne; Daub, Marco; Burmberger, Lukas; Duddeck, Fabian
Publié dans: Proceedings of the ISMA/USD2022 conference, 2022, Page(s) 4678-4686
Éditeur: ISMA/USD
DOI: 10.5281/zenodo.7584546

Introducing efficient structural reliability methods for stochastic simulators

Auteurs: Pires, Anderson V.; Moustapha, Maliki; id_orcid0000-0002-1138-4666; Marelli, Stefano; id_orcid0000-0002-9268-9014; Sudret, Bruno; id_orcid0000-0002-9501-7395
Publié dans: SIAM Conference on Uncertainty Quantification (UQ 2024). Searchable Abstract Document, Numéro 11, 2024
Éditeur: SIAM

Grey-box multifidelity surrogate modelling to combine noisy measurements and computer simulations

Auteurs: Giannoukou, Katerina; Marelli, Stefano; id_orcid0000-0002-9268-9014; Sudret, Bruno; id_orcid0000-0002-9501-7395
Publié dans: MASCOT-NUM 2023 Conference, Le Croisic, France, April 3-6, 2023, 2023
Éditeur: Mascot-Num
DOI: 10.3929/ethz-b-000638593

Comparison of state of the art sampling-based Bayesian Updating techniques

Auteurs: M. B. Dodt, M. Kitahara, M. Broggi, M. Beer
Publié dans: 8th International Symposium on Reliability Engineering and Risk Management, 2023, Page(s) 59-66
Éditeur: Research Publishing Services
DOI: 10.3850/978-981-18-5184-1_ms-02-146-cd

ENHANCING TRANSFER LEARNING FOR CRASHWORTHINESS STUDIES UNDER LOW DATA AVAILABILITY THROUGH SPHERE PROJECTION

Auteurs: Giada Colella, Volker A. Lange, Fabian Duddeck
Publié dans: Proceedings of the 5th International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019), 5th International Conference on Uncertainty Quantification in Computational Sciences and Engineering, 2023, Page(s) 453-465
Éditeur: Institute of Structural Analysis and Antiseismic Research National Technical University of Athens
DOI: 10.7712/120223.10349.19593

Accuracy of physics informed neural network used to model the elastic response of a material

Auteurs: D. Bonnet-Eymard, A. Persoons, M. Faes and D. Moens
Publié dans: ISMA-USD proceedings, 2022
Éditeur: KU Leuven Department of Mechanical Engineering
DOI: 10.5281/zenodo.7566341

Surrogate-based reliability analysis for noisy models

Auteurs: Pires, Anderson; Moustapha, Maliki; id_orcid0000-0002-1138-4666; Marelli, Stefano; id_orcid0000-0002-9268-9014; Sudret, Bruno; id_orcid0000-0002-9501-7395
Publié dans: 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14), Numéro 1, 2023
Éditeur: Trinity College Dublin
DOI: 10.3929/ethz-b-000638957

Review on Python Toolboxes for Kriging Surrogate Modelling

Auteurs: Alessio Faraci, Pierre Beaurepaire, Nicolas Gayton
Publié dans: Book of Extended Abstracts for the 32nd European Safety and Reliability Conference, 2023, Page(s) 854-861
Éditeur: Research Publishing Services
DOI: 10.3850/978-981-18-5183-4_r16-08-037

Active learning in grey-box models for near-real-time online monitoring of dynamic processes

Auteurs: Dodt, Miriam B.; Persoons, Augustin; Faes, Matthias G.R.; Moens, David
Publié dans: ISMA/USD proceedings, Numéro 2, 2022
Éditeur: KU Leuven, Department of Mechanical Engineering
DOI: 10.5281/zenodo.7568690

Constructing confidence and prediction intervals for multifidelity surrogate models involving noisy data

Auteurs: Giannoukou, Katerina; Marelli, Stefano; id_orcid0000-0002-9268-9014; Sudret, Bruno; id_orcid0000-0002-9501-7395
Publié dans: 5th International Conference on Uncertainty Quantification in Computational Science and Engineering (UNCECOMP 2023), Athens Greece, June 12-14, 2023, 2023
Éditeur: UNCECOMP
DOI: 10.3929/ethz-b-000638592

Extending multi-fidelity surrogate modelling to stochastic simulators

Auteurs: Giannoukou, Katerina; Marelli, Stefano; id_orcid0000-0002-9268-9014; Sudret, Bruno; id_orcid0000-0002-9501-7395
Publié dans: SIAM Conference on Uncertainty Quantification (UQ 2024), 2024
Éditeur: SIAM

Defining what is a probability of failure for systems modelled by stochastic simulators

Auteurs: Pires, Anderson; Moustapha, Maliki; id_orcid0000-0002-1138-4666; Marelli, Stefano; id_orcid0000-0002-9268-9014; Sudret, Bruno; id_orcid0000-0002-9501-7395
Publié dans: Proceedings of the 5th International Conference on Uncertainty Quantification in Computational Science and Engineering (UNCECOMP 2023), Athens, Greece, June 12-14, 2023, Athens, Greece, June 12-14, 2023, Numéro 14, 2023
Éditeur: UNCECOMP
DOI: 10.3929/ethz-b-000638960

Transfer learning for metamodel construction to enable uncertainty quantifications in crash design based on scarce data availability

Auteurs: Giada Colella, Volker A. Lange, and Fabian Duddeck
Publié dans: ISMA-USD proceedings, 2022
Éditeur: KU Leuven Department of Mechanical Engineering

An Importance Function to Generate Scenarios for Training a Grey-Box Model for the Computational Risk Assessment of Cyber-Physical Systems

Auteurs: Juan-Pablo Futalef, Francesco Di Maio, Enrico Zio
Publié dans: Proceeding of the 33rd European Safety and Reliability Conference, 2023, Page(s) 2130-2137
Éditeur: Research Publishing Services
DOI: 10.3850/978-981-18-8071-1_p684-cd

Time-Varying Statistics of Oscillators Endowed with Fractional Derivative Elements

Auteurs: Yi Luo, Pol Spanos
Publié dans: 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14), Numéro 9th - 13th of July, 2023, 2023
Éditeur: Trinity College Dublin
DOI: 10.5281/zenodo.13904692

Response statistics of composite structures with stochastic material properties based on microstructure

Auteurs: George Stefanou, Dimitrios Savvas, Panagiotis Gavallas, Iason Papaioannou
Publié dans: ISMA-USD proceedings, 2022
Éditeur: KU Leuven Department of Mechanical Engineering

Book chapters (1)

Unsupervised Representation Learning for Smart Transportation

Auteurs: Thabang Lebese, Cécile Mattrand, David Clair, Jean-Marc Bourinet, François Deheeger
Publié dans: Lecture Notes in Computer Science, Advances in Intelligent Data Analysis XXII, 2024, Page(s) 15-27, ISBN 978-3-031-58553-1
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-58553-1_2

Peer reviewed articles (17)

Mechanical properties of graphene nanoplatelets containing random structural defects

Auteurs: Panagiotis Gavallas, Dimitrios Savvas, George Stefanou
Publié dans: Mechanics of Materials, Numéro 180, 2023, Page(s) 104611, ISSN 0167-6636
Éditeur: Elsevier BV
DOI: 10.1016/j.mechmat.2023.104611

Robust design optimization of expensive stochastic simulators under lack-of-knowledge

Auteurs: Conradus van Mierlo; Augustin Persoons; Matthias G. R. Faes; David Moens
Publié dans: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 2023, ISSN 2332-9025
Éditeur: The American Society of Mechanical Engineers
DOI: 10.1115/1.4056950

Prognostic of lithium-ion batteries using a combination of physical modeling and hybrid multi-layer perceptron particle filter

Auteurs: Francesco Cancelliere, Sylvain Girard, Jean-Marc Bourinet, Matteo Broggi
Publié dans: Energy Reports, Numéro 12, 2024, Page(s) 5863-5874, ISSN 2352-4847
Éditeur: Elsevier
DOI: 10.1016/j.egyr.2024.11.058

Estimation of Response Expectation Bounds under Parametric P-Boxes by Combining Bayesian Global Optimization with Unscented Transform

Auteurs: Chen Ding, Chao Dang, Matteo Broggi, Michael Beer
Publié dans: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, Numéro 10, 2024, ISSN 2376-7642
Éditeur: American Society of Civil Engineers
DOI: 10.1061/ajrua6.rueng-1169

A dynamic importance function for accidental scenarios generation by RESTART in the computational risk assessment of cyber-physical infrastructures

Auteurs: Juan-Pablo Futalef, Francesco Di Maio, Enrico Zio
Publié dans: Reliability Engineering & System Safety, Numéro 253, 2024, Page(s) 110538, ISSN 0951-8320
Éditeur: Elsevier BV
DOI: 10.1016/j.ress.2024.110538

Crashworthiness Analysis: Exploiting Information of Developed Products With Control Variates

Auteurs: Giada Colella, Marcos A. Valdebenito, Fabian Duddeck, Volker A. Lange, Matthias Faes
Publié dans: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, Numéro 10, 2024, ISSN 2332-9017
Éditeur: ASME
DOI: 10.1115/1.4066079

Uncertainty-Aware Multifidelity Surrogate Modeling with Noisy Data

Auteurs: Katerina Giannoukou, Stefano Marelli, Bruno Sudret
Publié dans: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, Numéro 11, 2025, ISSN 2376-7642
Éditeur: American Society of Civil Engineers (ASCE)
DOI: 10.1061/ajrua6.rueng-1441

The effect of random field parameter uncertainty on the response variability of composite structures

Auteurs: George Stefanou; Dimitrios Savvas; Panagiotis Gavallas; Iason Papaioannou
Publié dans: Composites Part C: Open Access, Numéro 3, 2022, ISSN 2666-6820
Éditeur: Elsevier BV
DOI: 10.1016/j.jcomc.2022.100324

First-passage probability estimation of high-dimensional nonlinear stochastic dynamic systems by a fractional moments-based mixture distribution approach

Auteurs: Chen Ding; Chao Dang; Marcos A. Valdebenito; Matthias G.R. Faes; Matteo Broggi; Michael Beer
Publié dans: Mechanical Systems and Signal Processing (2022), Numéro 08883270, 2022, ISSN 0888-3270
Éditeur: Academic Press
DOI: 10.48550/arxiv.2210.04715

Digital twins in safety analysis, risk assessment and emergency management

Auteurs: Enrico Zio, Leonardo Miqueles
Publié dans: Reliability Engineering & System Safety, Numéro 246, 2024, Page(s) 110040, ISSN 0951-8320
Éditeur: Elsevier BV
DOI: 10.1016/j.ress.2024.110040

CNN-based prediction of microstructure-derived random property fields of composite materials

Auteurs: Panagiotis Gavallas, George Stefanou, Dimitrios Savvas, Cécile Mattrand, Jean-Marc Bourinet
Publié dans: Computer Methods in Applied Mechanics and Engineering, Numéro 430, 2024, Page(s) 117207, ISSN 0045-7825
Éditeur: Elsevier BV
DOI: 10.1016/j.cma.2024.117207

Reliability analysis for non-deterministic limit-states using stochastic emulators

Auteurs: Anderson V. Pires, Maliki Moustapha, Stefano Marelli, Bruno Sudret
Publié dans: Structural Safety, Numéro 117, 2025, Page(s) 102621, ISSN 0167-4730
Éditeur: Elsevier BV
DOI: 10.1016/j.strusafe.2025.102621

Transfer learning for crash design

Auteurs: Giada Colella, Volker A. Lange, Fabian Duddeck
Publié dans: Discover Mechanical Engineering, Numéro 3, 2024, ISSN 2731-6564
Éditeur: Springer
DOI: 10.1007/s44245-024-00059-2

Increasing design flexibility by manually adapting the solution space for crashworthiness

Auteurs: Paolo Ascia, Volker A. Lange, Fabian Duddeck
Publié dans: Journal of Mathematics in Industry, Numéro 13, 2023, ISSN 2190-5983
Éditeur: Springer Verlag
DOI: 10.1186/s13362-023-00137-2

Sampling and active learning methods for network reliability estimation using K-terminal spanning tree

Auteurs: Chen Ding, Pengfei Wei, Yan Shi, Jinxing Liu, Matteo Broggi, Michael Beer
Publié dans: Reliability Engineering & System Safety, Numéro 250, 2024, Page(s) 110309, ISSN 0951-8320
Éditeur: Elsevier BV
DOI: 10.1016/j.ress.2024.110309

Reliability analysis for data-driven noisy models using active learning

Auteurs: Anderson V. Pires, Maliki Moustapha, Stefano Marelli, Bruno Sudret
Publié dans: Structural Safety, Numéro 112, 2024, Page(s) 102543, ISSN 0167-4730
Éditeur: Elsevier BV
DOI: 10.1016/j.strusafe.2024.102543

A new reliability method combining adaptive Kriging and active variance reduction using multiple importance sampling

Auteurs: Augustin Persoons, Pengfei Wei, Matteo Broggi, Michael Beer
Publié dans: Structural and Multidisciplinary Optimization, Numéro 66, 2023, ISSN 1615-147X
Éditeur: Springer Verlag
DOI: 10.1007/s00158-023-03598-6