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

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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

USD2022 special GREYDIENT session

Special GREYDIENT session during ISMA-USD2022

Symposium

GREYDIENT symposium, as described in the proposal

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

Pubblicazioni

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

Autori: Katerina Giannoukou, Paolo Ascia, Stefano Marelli, Fabian Duddeck and Bruno Sudret
Pubblicato in: ISMA-USD Proceedings, 2024
Editore: KU Leuven Department of Mechanical Engineering

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

Autori: Juan-Pablo Futalef, Francesco Di Maio, Enrico Zio
Pubblicato in: Book of Extended Abstracts for the 32nd European Safety and Reliability Conference, 2023, Pagina/e 2757-2764
Editore: 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

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

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

Autori: Francesco Cancelliere, Sylvain Girard, Jean-Marc Bourinet, Matteo Broggi
Pubblicato in: Annual Conference of the PHM Society, Numero 15, 2023, ISSN 2325-0178
Editore: PHM Society
DOI: 10.36001/phmconf.2023.v15i1.3506

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

Autori: Gavallas, Panagiotis; Tsivolas, Eleftherios; Stefanou, George
Pubblicato in: EUROMECH Colloquium 642, 2024
Editore: Sapienza University of Rome
DOI: 10.5281/zenodo.14033483

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

Autori: Chen Ding, Chao Dang, Matteo Broggi, Michael Beer
Pubblicato in: 8th International Symposium on Reliability Engineering and Risk Management, Numero 4th - 7th September, 2022, 2023, Pagina/e 40-46
Editore: Research Publishing Services
DOI: 10.3850/978-981-18-5184-1_ms-01-175-cd

The effect of noise on reliability analysis

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

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

Autori: Lebese, Thabang
Pubblicato in: Proc. 16 th International Conference on Agents and Artificial Intelligence (ICAART 2024), 2024, Pagina/e 12
Editore: ICAART
DOI: 10.5281/zenodo.13735693

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

Autori: Leonardo Miqueles, Ibrahim Ahmed, Francesco Di Maio, Enrico Zio
Pubblicato in: Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022), Numero 28th of August – 1st of September, 2022, 2022
Editore: Research Publishing

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

Autori: Persoons, Augustin; Wei, Pengfei; Bogaerts, Lars; Moens, David; Broggi, Matteo; Beer, Michael
Pubblicato in: USD 2022, Numero 3, 2023
Editore: 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

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

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

Autori: Miriam B. Dodt, Augustin Persoons, Matthias G. R. Faes, David Moens
Pubblicato in: 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
Editore: 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

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

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

Autori: Panagiotis Gavallas, Dimitrios Savvas, George Stefanou
Pubblicato in: 14th International Conference on Applications of Statistics and Probability in Civil Engineering, Numero 9th - 13th July 2023, 2023
Editore: Trinity College Dublin
DOI: 10.5281/zenodo.10906215

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

Autori: Giada Colella, Volker A. Lange, and Fabian Duddeck
Pubblicato in: ISMA-USD proceedings, 2024
Editore: KU Leuven Department of Mechanical Engineering

Multifidelity surrogate modelling with noisy grey-box models

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

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

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

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

Autori: Paolo Ascia, Matthias G. R. Faes, Fabian Duddeck
Pubblicato in: 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, Pagina/e 466-477
Editore: 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

Autori: Juan-Pablo Futalef, Francesco Di Maio, Enrico Zio
Pubblicato in: 8th International Conference on System Reliability and Safety, 2024
Editore: IEEE

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

Autori: Alessio Faraci, Pierre Beaurepaire, Nicolas Gayton
Pubblicato in: 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, Pagina/e 478-485
Editore: 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

Autori: Anderson V. Pires, Maliki Moustapha, Stefano Marelli, Bruno Sudret
Pubblicato in: ISMA-USD proceedings, 2024
Editore: KU Leuven
DOI: 10.5281/zenodo.14187066

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

Autori: Faraci, Alessio; Beaurepaire, Pierre; Gayton, Nicolas
Pubblicato in: ISMA-USD proceedings, 2024
Editore: KU Leuven Department of Mechanical Engineering
DOI: 10.5281/zenodo.14207477

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

Autori: Bonnet Eymard, Damien; Persoons, Augustin; Gavallas, Panagiotis; Moens, David; Faes, Matthias G.R.; Stefanou, George
Pubblicato in: ISMA-USD 2024, Numero 4, 2024
Editore: 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

Autori: Juan-Pablo Futalef, Francesco Di Maio, Enrico Zio
Pubblicato in: 6th International Conference on System Reliability and Safety, 2022
Editore: IEEE

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

Autori: Dodt, Miriam Beatrice; Bogaerts, Lars; Persoons, Augustin; Matthias G.R., Faes; Moens, David
Pubblicato in: Proceedings of ISMA2024 International Conference on Noise and Vibration Engineering USD2024 International Conference on Uncertainty in Structural Dynamics, Numero 19, 2024
Editore: 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

Autori: Ascia, Paolo; Duddeck, Fabian
Pubblicato in: Proceedings of ISMA/USD2024, 2024, Pagina/e 1-14
Editore: ISMA/USD
DOI: 10.5281/zenodo.13933792

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

Autori: Ascia, Paolo; Kaps, Arne; Daub, Marco; Burmberger, Lukas; Duddeck, Fabian
Pubblicato in: Proceedings of the ISMA/USD2022 conference, 2022, Pagina/e 4678-4686
Editore: ISMA/USD
DOI: 10.5281/zenodo.7584546

Introducing efficient structural reliability methods for stochastic simulators

Autori: Pires, Anderson V.; Moustapha, Maliki; id_orcid0000-0002-1138-4666; Marelli, Stefano; id_orcid0000-0002-9268-9014; Sudret, Bruno; id_orcid0000-0002-9501-7395
Pubblicato in: SIAM Conference on Uncertainty Quantification (UQ 2024). Searchable Abstract Document, Numero 11, 2024
Editore: SIAM

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

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

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

Autori: M. B. Dodt, M. Kitahara, M. Broggi, M. Beer
Pubblicato in: 8th International Symposium on Reliability Engineering and Risk Management, 2023, Pagina/e 59-66
Editore: 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

Autori: Giada Colella, Volker A. Lange, Fabian Duddeck
Pubblicato in: 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, Pagina/e 453-465
Editore: 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

Autori: D. Bonnet-Eymard, A. Persoons, M. Faes and D. Moens
Pubblicato in: ISMA-USD proceedings, 2022
Editore: KU Leuven Department of Mechanical Engineering
DOI: 10.5281/zenodo.7566341

Surrogate-based reliability analysis for noisy models

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

Review on Python Toolboxes for Kriging Surrogate Modelling

Autori: Alessio Faraci, Pierre Beaurepaire, Nicolas Gayton
Pubblicato in: Book of Extended Abstracts for the 32nd European Safety and Reliability Conference, 2023, Pagina/e 854-861
Editore: 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

Autori: Dodt, Miriam B.; Persoons, Augustin; Faes, Matthias G.R.; Moens, David
Pubblicato in: ISMA/USD proceedings, Numero 2, 2022
Editore: KU Leuven, Department of Mechanical Engineering
DOI: 10.5281/zenodo.7568690

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

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

Extending multi-fidelity surrogate modelling to stochastic simulators

Autori: Giannoukou, Katerina; Marelli, Stefano; id_orcid0000-0002-9268-9014; Sudret, Bruno; id_orcid0000-0002-9501-7395
Pubblicato in: SIAM Conference on Uncertainty Quantification (UQ 2024), 2024
Editore: SIAM

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

Autori: Pires, Anderson; Moustapha, Maliki; id_orcid0000-0002-1138-4666; Marelli, Stefano; id_orcid0000-0002-9268-9014; Sudret, Bruno; id_orcid0000-0002-9501-7395
Pubblicato in: 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, Numero 14, 2023
Editore: UNCECOMP
DOI: 10.3929/ethz-b-000638960

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

Autori: Giada Colella, Volker A. Lange, and Fabian Duddeck
Pubblicato in: ISMA-USD proceedings, 2022
Editore: 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

Autori: Juan-Pablo Futalef, Francesco Di Maio, Enrico Zio
Pubblicato in: Proceeding of the 33rd European Safety and Reliability Conference, 2023, Pagina/e 2130-2137
Editore: Research Publishing Services
DOI: 10.3850/978-981-18-8071-1_p684-cd

Time-Varying Statistics of Oscillators Endowed with Fractional Derivative Elements

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

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

Autori: George Stefanou, Dimitrios Savvas, Panagiotis Gavallas, Iason Papaioannou
Pubblicato in: ISMA-USD proceedings, 2022
Editore: KU Leuven Department of Mechanical Engineering

Unsupervised Representation Learning for Smart Transportation

Autori: Thabang Lebese, Cécile Mattrand, David Clair, Jean-Marc Bourinet, François Deheeger
Pubblicato in: Lecture Notes in Computer Science, Advances in Intelligent Data Analysis XXII, 2024, Pagina/e 15-27, ISBN 978-3-031-58553-1
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-58553-1_2

Mechanical properties of graphene nanoplatelets containing random structural defects

Autori: Panagiotis Gavallas, Dimitrios Savvas, George Stefanou
Pubblicato in: Mechanics of Materials, Numero 180, 2023, Pagina/e 104611, ISSN 0167-6636
Editore: Elsevier BV
DOI: 10.1016/j.mechmat.2023.104611

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

Autori: Conradus van Mierlo; Augustin Persoons; Matthias G. R. Faes; David Moens
Pubblicato in: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 2023, ISSN 2332-9025
Editore: 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

Autori: Francesco Cancelliere, Sylvain Girard, Jean-Marc Bourinet, Matteo Broggi
Pubblicato in: Energy Reports, Numero 12, 2024, Pagina/e 5863-5874, ISSN 2352-4847
Editore: 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

Autori: Chen Ding, Chao Dang, Matteo Broggi, Michael Beer
Pubblicato in: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, Numero 10, 2024, ISSN 2376-7642
Editore: 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

Autori: Juan-Pablo Futalef, Francesco Di Maio, Enrico Zio
Pubblicato in: Reliability Engineering & System Safety, Numero 253, 2024, Pagina/e 110538, ISSN 0951-8320
Editore: Elsevier BV
DOI: 10.1016/j.ress.2024.110538

Crashworthiness Analysis: Exploiting Information of Developed Products With Control Variates

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

Uncertainty-Aware Multifidelity Surrogate Modeling with Noisy Data

Autori: Katerina Giannoukou, Stefano Marelli, Bruno Sudret
Pubblicato in: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, Numero 11, 2025, ISSN 2376-7642
Editore: 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

Autori: George Stefanou; Dimitrios Savvas; Panagiotis Gavallas; Iason Papaioannou
Pubblicato in: Composites Part C: Open Access, Numero 3, 2022, ISSN 2666-6820
Editore: 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

Autori: Chen Ding; Chao Dang; Marcos A. Valdebenito; Matthias G.R. Faes; Matteo Broggi; Michael Beer
Pubblicato in: Mechanical Systems and Signal Processing (2022), Numero 08883270, 2022, ISSN 0888-3270
Editore: Academic Press
DOI: 10.48550/arxiv.2210.04715

Digital twins in safety analysis, risk assessment and emergency management

Autori: Enrico Zio, Leonardo Miqueles
Pubblicato in: Reliability Engineering & System Safety, Numero 246, 2024, Pagina/e 110040, ISSN 0951-8320
Editore: Elsevier BV
DOI: 10.1016/j.ress.2024.110040

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

Autori: Panagiotis Gavallas, George Stefanou, Dimitrios Savvas, Cécile Mattrand, Jean-Marc Bourinet
Pubblicato in: Computer Methods in Applied Mechanics and Engineering, Numero 430, 2024, Pagina/e 117207, ISSN 0045-7825
Editore: Elsevier BV
DOI: 10.1016/j.cma.2024.117207

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

Autori: Anderson V. Pires, Maliki Moustapha, Stefano Marelli, Bruno Sudret
Pubblicato in: Structural Safety, Numero 117, 2025, Pagina/e 102621, ISSN 0167-4730
Editore: Elsevier BV
DOI: 10.1016/j.strusafe.2025.102621

Transfer learning for crash design

Autori: Giada Colella, Volker A. Lange, Fabian Duddeck
Pubblicato in: Discover Mechanical Engineering, Numero 3, 2024, ISSN 2731-6564
Editore: Springer
DOI: 10.1007/s44245-024-00059-2

Increasing design flexibility by manually adapting the solution space for crashworthiness

Autori: Paolo Ascia, Volker A. Lange, Fabian Duddeck
Pubblicato in: Journal of Mathematics in Industry, Numero 13, 2023, ISSN 2190-5983
Editore: Springer Verlag
DOI: 10.1186/s13362-023-00137-2

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

Autori: Chen Ding, Pengfei Wei, Yan Shi, Jinxing Liu, Matteo Broggi, Michael Beer
Pubblicato in: Reliability Engineering & System Safety, Numero 250, 2024, Pagina/e 110309, ISSN 0951-8320
Editore: Elsevier BV
DOI: 10.1016/j.ress.2024.110309

Reliability analysis for data-driven noisy models using active learning

Autori: Anderson V. Pires, Maliki Moustapha, Stefano Marelli, Bruno Sudret
Pubblicato in: Structural Safety, Numero 112, 2024, Pagina/e 102543, ISSN 0167-4730
Editore: Elsevier BV
DOI: 10.1016/j.strusafe.2024.102543

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

Autori: Augustin Persoons, Pengfei Wei, Matteo Broggi, Michael Beer
Pubblicato in: Structural and Multidisciplinary Optimization, Numero 66, 2023, ISSN 1615-147X
Editore: Springer Verlag
DOI: 10.1007/s00158-023-03598-6

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