Preprints archive

2023

Roustant, O., Lüthen, N., Gamboa, F., Bayesian quadrature for H1(μ) with Poincaré inequality on a compact interval, RSUQ report 2023-008.

Pires, A., Moustapha, M., Marelli, S., and Sudret, B., Surrogate-based reliability analysis for noisy models, RSUQ report 2023-007.

Parisi, P., Moustapha, M., Marelli, S., and Sudret, B., Active-learning-based system reliability analysis with budget constraints, RSUQ report 2023-006.

Groslambert, M., Jacot-Descombes, G., Commend, S., and Sudret, B., Sensitivity and reliability analyses applied to day-to-day geotechnical engineering using meta-models coupled with 3D finite elements, RSUQ report 2023-005.

Wang, H., Gramstad, O., Schär, S., Marelli, S., and Vanem, E., Comparison of Probabilistic Structural Reliability Methods for Ultimate Limit State Assessment of Wind Turbines, RSUQ report 2023-004.

Schär, S., Marelli, S., and Sudret, B., Emulating the dynamics of complex systems using autoregressive models on manifolds (mNARX), RSUQ report 2023-003. 

Moustapha, M., Parisi, P., Marelli, S., and Sudret, B, Reliability analysis of arbitrary systems based on active learning and global sensitivity analysis, RSUQ report 2023-002.

Schnabel, P., Polynomial chaos expansion for dependent inputs, RSUQ report 2023-001.

2022

Ehre, M., Papaioannou, I., Sudret,  B., Straub, D., Sequential active learning of low-dimensional model representations for reliability analysis, RSUQ report 2022-013.

Moustapha, M., Sudret, B., Learning non-stationary and discontinuous functions using clustering, classification and Gaussian process modelling, RSUQ report 2022-012.

Moustapha, M., Marelli, S., Sudret, B., A global framework for active learning reliability in UQLab, RSUQ report 2022-011.

Wagner, P.-R., Papaioannou, I., Marelli, S., Straub, D., Sudret, B., Estimating failure probabilities using an adaptive variant of stochastic spectral embedding, RSUQ report 2022-010.

Zhu, X., Sudret, B., Introducing latent variables in polynomial chaos expansions to surrogate stochastic simulators, RSUQ report 2022-009.

Parisi, P., Moustapha, M., Marelli, S., Sudret, B., Active learning for system reliability analysis using PC-Kriging, subset simulation and sensitivity analysis, RSUQ report 2022-008.

Zhu, X., Broccardo, M., Sudret, B., Use of generalized lambda models for seismic fragility analysis, RSUQ report 2022-007.

Zhu, X., Broccardo, M., Sudret, B., Seismic fragility analysis using stochastic polynomial chaos expansions, RSUQ report 2022-006.

Lüthen, N., Marelli, S., Sudret, B., A spectral surrogate model for stochastic simulators computed from trajectory samples, RSUQ report 2022-005.

Zhou, T., Marelli, S., Sudret, B., Peng, Y., AK-PDEMi: a failure-informed enrichment algorithm for improving the AK-PDEM in reliability analysis, RSUQ report 2022-004.

Meles, G. A., Linde, N., Marelli, S., Bayesian tomography with prior-knowledge-based parametrization and surrogate modeling, RSUQ report 2022-003.

Moustapha, M., Galimshina, A., Habert, G. and Sudret, B., Multi-objective robust optimization using adaptive surrogate models for problems with mixed continuous-categorical parameters, RSUQ report 2022-002.

Zhu, X., Sudret, B., Stochastic polynomial chaos expansions to emulate stochastic simulators, RSUQ report 2022-001.

2021

Lüthen, N., Roustant, O., Gamboa, F., Iooss, B., Marelli, S., Sudret, B., Global sensitivity analysis using derivative-based sparse Poincaré chaos expansions, RSUQ report 2021-004.

Wagner, P.-R., Marelli, S., Papaioannou, I., Straub, D., Sudret, B., Rare event estimation using stochastic spectral embedding, RSUQ report 2021-003.

Moustapha, M., Marelli, S., Sudret, B., A generalized framework for active learning reliability: survey and benchmark, RSUQ report 2021-002.

Tsokanas, N., Zhu, X., Abbiati, G., Marelli, S., Sudret, B., Stojadinović, B., A global sensitivity analysis framework for hybrid simulation with stochastic substructures, RSUQ report 2021-001.

2020

Faes, M. G. R., Daub, M., Marelli, S., Patelli, E., Beer, M., Engineering analysis with probability boxes: a review on computational methods, RSUQ report 2020-015.

Knabenhans, M., Stadel, J., Potter, D., Dakin, J., Hannestad, S., Tram, T., Marelli, S., Schneider, A., Teyssier, R., and the Euclid Collaboration, Euclid preparation: IX. EuclidEmulator2 – Power spectrum emulation with massive neutrinos and self-consistent dark energy perturbations, RSUQ report 2020-014.

Abbiati, G., Broccardo, M., Abdallah, I., Marelli, S., Paolacci, F., Seismic Fragility Analysis based on Artificial Ground Motions and Surrogate Modeling of Validated Structural Simulators, RSUQ report 2020-013.

Abbiati, G., Marelli, S., Ligeikis, C., Christenson, R., Stojadinovic, B., Training of a Classifier for Structural Component Failure based on Hybrid Simulation and Kriging, RSUQ report 2020-012.

Lüthen, N., Marelli, S., Sudret, B., A benchmark of basis-adaptive sparse polynomial chaos expansions for engineering regression problems, RSUQ report 2020-011.

Keller, F., Surrogate modelling for multiscalethermal simulation of powder-​bedadditive manufacturing, RSUQ report 2020-010.

Arrigoni, R., Uncertainty propagation and sensitivity analysis in hydrology, RSUQ report 2020-009.

Galimshina, A., Moustapha, M., Hollberg, A., Padey, P., Lavaux, S., Sudret, B. and Habert, G., Statistical method to identify robust building renovation choices for environmental and economic performance, RSUQ report 2020-008.

Kroetz, H. M., Moustapha, M., Beck, A. T. and Sudret, B., A Two-Level Kriging-Based Approach with Active Learning for Solving Time-Variant Risk Optimization Problems, RSUQ report 2020-007.

Zhu, X., Sudret, B., Emulation of stochastic simulators using generalized lambda models, RSUQ report 2020-006.

Wagner, P.-R., Marelli, S., Sudret, B., Bayesian model inversion using stochastic spectral embedding, RSUQ report 2020-005.

Zhu, X., Sudret, B., Global sensitivity analysis for stochastic simulators based on generalized lambda surrogate models, RSUQ report 2020-004.

Marelli, S., Wagner, P.-R., Lataniotis, C., Sudret, B., Stochastic spectral embedding, RSUQ report 2020-003.

Lüthen, N., Marelli, S., Sudret, B., Sparse polynomial chaos expansions: Literature survey andbenchmark, RSUQ report 2020-002.

Timpe, M. L., Veiga, M. H., Knabenhans, M., Stadel, J., Marelli, S., Machine learning applied to simulations of collisions between rotating, differentiated planets, RSUQ report 2020-001.

2019

Moustapha, M., Sudret, B., A two-stage surrogate modelling approach for the approximation of models with non-smooth outputs, RSUQ report 2019-009.

Zhu, X., Sudret, B., Replication-based emulation of the response distribution ofstochastic simulators using generalized lambda distributions, RSUQ report 2019-008.

Abbiati, G., Marelli, S., Tsokanas, N., Sudret, B., Stojadinovic,  B., A global sensitivity analysis framework for hybrid simulation, RSUQ report 2019-007.

Liu, Z., Lesselier, D., Sudret, B., Wiart, J., Surrogate modeling of indoor down-link human exposure based on sparse polynomial chaos expansion, RSUQ report 2019-006.

Slot, R. M. M, Sørensen, J. D., Sudret, B., Svenningsen, L., Thøgersen, M. L., Surrogate model uncertainty in wind turbine reliability assessment, RSUQ report 2019-005.

Hariri-Ardebili, M. A., Sudret, B., Polynomial chaos expansion for uncertainty quantification of dam engineering problems, RSUQ report 2019-004.

Feinberg, A., Moustapha, M., Stenke, A., Sudret, B., Peter, T., Winkel, L., Mapping the drivers of uncertainty in atmospheric selenium deposition with global sensitivity analysis, RSUQ report 2019-003.

Wagner, P.-R, Fahrni, R., Klippel, M., Frangi, A., Sudret, B., Heat transfer models for fire insulation panels: Bayesian calibration and sensitivity analysis of heat transfer models for fire insulation panels, RSUQ report 2019-002.

Moustapha, M., Sudret, B., Surrogate-assisted reliability-based design optimization: a survey and a new general framework, RSUQ report 2019-001.

2018

Schmid, F., A new moment-​independent measure for reliability-​sensitivity analysis, RSUQ report 2018-010.

Wiederkehr, P., Global Sensitivity Analysis with Dependent Inputs, RSUQ report 2018-009.

Lataniotis, C., Marelli, S., Sudret, B., Extending classical surrogate modelling to high dimensions through supervised dimensionality reduction: a data-driven approach, RSUQ report 2018-008.

Azzi, S., Huang, Y., Sudret, B., Wiart, J., Surrogate modelling of stochastic functions - Application to computational electromagnetic dosimetry, RSUQ report 2018-007.

Liu, Z., Lesselier, D., Sudret, B., Wiart, J., Surrogate modeling based on resampled polynomial chaos expansions, RSUQ report 2018-006.

Torre, E., Marelli, S., Embrechts, P., Sudret, B., Data-driven polynomial chaos expansion for machine learning regression, RSUQ report 2018-005.

Peter, S. J., Siviglia, A., Nagel, J., Marelli, S., Boes, R. M., Vetsch, D. and Sudret, B., Development of probabilistic dam breach model using Bayesian inference, RSUQ report 2018-004.

Sauder, T., Marelli, S., Larsen, K. and Sørensen, J. A., Active truncation of slender marine structures: influence of the control system on fidelity, RSUQ report 2018-003.

Yaghoubi, V., Rahrovani, S., Nahvi, H. and Marelli, S., Reduced order surrogate modeling technique for linear dynamic systems, RSUQ report 2018-002.

Moustapha, M., Bourinet, J.-M., Guillaume, B. and Sudret, B., Comparative study of Kriging and support vector regression for structural engineering applications, RSUQ report 2018-001.

2017

Yüzügüllu, O., Marelli, S., Erten, E., Sudret, B. and Hajnsek, I., Determining Rice Growth Stage with X-Band SAR: A Metamodel Based Inversion, RSUQ report 2017-014.

Lataniotis, C., Marelli, S. and Sudret, B., The Gaussian process modelling module in UQLab, RSUQ report 2017-013. 

Torre, E., Marelli, S., Embrechts, P. and Sudret, B., A general framework for data-driven uncertainty quantification under complex input dependencies using vine copulas, RSUQ report 2017-012.  

Abdallah, I., Lataniotis, C. and Sudret, B., Hierarchical Kriging for multi-fidelity aero-servo-elastic simulators - Application to extreme loads on wind turbines, RSUQ report 2017-011.

Nagel, J. B., Rieckermann, J. and Sudret, B., Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: application to urban drainage simulation, RSUQ report 2017-010.

Marelli, S. and Sudret, B., An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis, RSUQ report 2017-009.

Harenberg, D., Marelli, S., Sudret, B. and Winschel, V., Uncertainty Quantification and Global Sensitivity Analysis for Economic Models, RSUQ report 2017-008.

Schöbi, R. and Sudret, B., Global sensitivity analysis in the context of imprecise probabilities (p-boxes) using sparse polynomial chaos expansions, RSUQ report 2017-007.

Schöbi, R. and Sudret, B., Structural reliability analysis for p-boxes using multi-level meta-models, RSUQ report 2017-006.

Burnaev, E., Panin, I. and Sudret, B., Efficient design of experiments for sensitivity analysis based on polynomial chaos expansions, RSUQ report 2017-005.

Fajraoui, N., Fahs, M., Younes, A. and Sudret, B., Global sensitivity analysis of natural convection in porous enclosure effect of thermal dispersion, anisotropic permeability and heterogeneity, RSUQ report 2017-004.

Mai, C. V., Konakli, K. and Sudret, B., Seismic fragility curves for structures using non-parametric representations, RSUQ report 2017-003.

Dubourg, V., Bourinet, J.-M. and Sudret, B., Reliability-based design optimization of shells with uncertain geometry using adaptive Kriging metamodels, RSUQ report 2017-002.

Fajraoui, N., Marelli, S. and Sudret, B., On optimal experimental designs for sparse polynomial chaos expansions, RSUQ report 2017-001.

2016

Berchier, M., Multi-​fidelity surrogate modelling with polynomial chaos expansions, RSUQ report 2016-011.

Mai, C. V. and Sudret, B., Surrogate models for oscillatory systems using sparse polynomial chaos expansions and stochastic time warping, RSUQ report 2016-010.

Schöbi, R. and Sudret, B., Uncertainty propagation of p-boxes using sparse polynomial chaos expansions, RSUQ report 2016-009.

Kalinina, A., Spada, M., Marelli, S., Burgherr, P. and Sudret, B., Uncertainties in the risk assessment of hydropower dams: state-of-the-art and outlook, RSUQ report 2016-008.

Le Gratiet, L., Marelli, S. and Sudret, B., Metamodel-based sensitivity analysis: polynomial chaos expansions and Gaussian processes, RSUQ report 2016-007.

Yaghoubi, V., Marelli, S., Sudret, B. and Abrahamsson, T., Sparse polynomial chaos expansions of frequency response functions using stochastic frequency transformation, RSUQ report 2016-006.

Moustapha, M., Sudret, B., Bourinet, J.-M. and Guillaume, B., Quantile-based optimization under uncertainties using adaptive Kriging surrogate models, RSUQ report 2016-005.

Konakli, K. and Sudret, B., Global sensitivity analysis using low-rank tensor approximations, RSUQ report 2016-004.

Konakli, K. and Sudret, B., Reliability analysis of high-dimensional models using low-rank tensor approximations, RSUQ report 2016-003.

Mai, C. V., Spiridonakos, M. D., Chatzi, E. N. and Sudret, B., Surrogate modelling for stochastic dynamical systems by combining NARX models and polynomial chaos expansions, RSUQ report 2016-002.

Schöbi R., Sudret, B. and Marelli, S., Rare event estimation using Polynomial-Chaos-Kriging, RSUQ report 2016-001.

2015

Sudret, B., Polynomial chaos expansions and stochastic finite element methods, RSUQ report 2015-008.

Konakli, K. and Sudret, B., Low-rank tensor approximations versus polynomial chaos expansions for meta-modeling in high-dimensional spaces, RSUQ report 2015-007.

Nagel, J. B. and Sudret, B., A Unified Framework for Multilevel Uncertainty Quantification in Bayesian Inverse Problems, RSUQ report 2015-006.

Maliki, M., Sudret, B., Burinet, J.-M. and Guillaume, B., Metamodeling for crashworthiness design: A comparative study of Kriging and support vector regression, RSUQ report 2015-005.

Nagel, J. B. and Sudret, B., Spectral likelihood expansions for Bayesian inference, RSUQ report 2015-004.

Sudret, B., Dang, H. X., Berveiller, M., Zeghadi, A. and Yalamas, T., Characterization of random stress fields obtained from polycrystalline aggregate calculations using multi-scale stochastic finite elements, RSUQ report 2015-003.

Schöbi, R., Sudret, B. and Wiart, J., Polynomial-Chaos-based Kriging, RSUQ report 2015-002.

Deman, G., Konakli, K., Sudret, B., Kerrou, J., Perrochet, P. and Benabderrahmane, H., Using sparse polynomial chaos expansions for the global sensitivity analysis of groundwater lifetime expectancy in a multi-layered hydrogeological model, RSUQ report 2015-001.