Papers in Journals with peer review and impact factor
2025
- Manque Roa, N., Phoon, K.-K., Liu, Y., Valdebenito, M., Faes, M. (2025)
Confined seepage analysis of saturated soils using fuzzy fields.
Journal of Rock Mechanics and Geotechnical Engineering.
Article in press
preprint (available for download)
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Zhao, H., Zhou, C., Chang, Q., Shi, H., Valdebenito, M., Faes, M. (2025)
Limit-state function sensitivity under epistemic uncertainty: a convex model approach
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Article in press
preprint (available for download)
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Li, P.P., Zhao, Y.G., Dang, C., Broggi, M., Valdebenito, M., Faes, M. (2025).
An efficient Bayesian updating framework for characterizing the posterior failure probability
Mechanical Systems and Signal Processing
Volume 222, 1 January 2025, 111768
10.1016/j.ymssp.2024.111768
paper (available for download)
2024
- Bogaerts, L., Faes, M., Moens, D. (2024).
A data driven black box approach for the inverse quantification of set-theoretical uncertainty.
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B: Mechanical Engineering.
Article in Press.
preprint (available for download)
- Weng, L., Acevedo, C., Yang, J., Valdebenito, M., Faes, M., Chen, J. (2024).
An approximate decoupled reliability-based design optimization method for efficient design exploration of linear structures under random loads.
Computer Methods in Applied Mechanics and Engineering.
Volume 432, Part A, December 2024, 117312
10.1016/j.cma.2024.117312
preprint (available for download)
- Collela, G., Valdebenito, M., Duddeck, F., Lange, V., Faes, M. (2024)
Crashworthiness Analysis: Exploiting Information of Developed Products with Control Variates
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B: Mechanical Engineering
Volume 10, December 2024, 041205
10.1115/1.4066079
preprint (available for download)
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Manque Roa, N., Valdebenito, M., Beaurepaire, P., Moens, D., Faes, M. (2024)
A Reduced-Order Model Approach for Fuzzy Fields Analysis
Structural Safety
Volume 111, November 2024, 102498
10.1016/j.strusafe.2024.102498
paper (available for download) -
Ypsilantis, K., Faes, M., Lagaros, N. , Aage, N., Moens, D. (2024)
Robust topology and discrete fiber orientation optimization under material uncertainty
Computers and Structures
Volume 300, 15 August 2024, 107421
10.1016/j.compstruc.2024.107421
preprint (available for download) -
Jafari,J., Lara Montaño, O., Mirjalili,S., Faes, M. (2024)
A Meta-heuristic approach for Reliability-Based Design Optimization of Shell-and-Tube Heat Exchangers
Applied Thermal Engineering
Volume 248, Part A, 01 July 2024, 123161
10.1016/j.applthermaleng.2024.123161
preprint (available for download) -
Awd, M. , Saeed, L. , Münstermann,S. , Faes, M. , Walther, F. (2024)
Mechanistic machine learning for metamaterial fatigue strength design from first principles in additive manufacturing
Materials and Design.
Volume 241, May 2024, 112889
10.1016/j.matdes.2024.112889
preprint (available for download) -
Chang, Q., Changcong Zhou, C., Faes, M., Valdebenito, M. (2024)
Design Optimization with Variable Screening by Interval-Based Sensitivity Analysis
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 10, Issue 3, 21 May, 2024
10.1061/AJRUA6.RUENG-1266
preprint (available for download) -
Dang, C. , Cicirello, A. , Valdebenito, M. , Faes, M., Wei, P., Beer, M. (2024)
Structural reliability analysis with extremely small failure probabilities: A quasi-Bayesian active learning method
Probabilistic Engineering Mechanics.
Volume 76, 03 April 2024, 103613
10.1016/j.probengmech.2024.103613
paper (available for download) -
Dang, C. , Valdebenito, M., Wei, P. , Song, J., Beer, M. (2024)
Bayesian active learning line sampling with log-normal process for rare event probability estimation.
Reliability Engineering & System Safety.
Volume 246, 03 April 2024, 110053
10.1016/j.ress.2024.110053
paper (available for download) -
Feng,C., Valdebenito, M.A. , Chwała, M., Liao,K., Broggi,M., Beer, M. (2024)
Efficient slope reliability analysis under soil spatial variability using maximum entropy distribution with fractional moments
Journal of Rock Mechanics and Geotechnical Engineering.
Volume 16, April 2024, 1140-1152
10.1016/j.jrmge.2023.09.006
paper (available for download) - Dang, C., Faes, M. , Valdebenito, M. , Wei, P., Beer, M. (2024).
Partially Bayesian active learning cubature for structural reliability analysis with extremely small failure probabilities.
Computer Methods in Applied Mechanics and Engineering.
Volume 422 , 15 March 2024, 116828
10.1016/j.cma.2024.116828
preprint (available for download)
- Chang, Q., Zhou, C., Faes, M. , Valdebenito, M. (2024).
Design optimization with variable screening by interval-based sensitivity analysis.
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering.
Article in Press.
preprint (available for download)
- Acevedo, C., Valdebenito, M. , Gonzalez, I., Jensen, H., Faes, M. , Liu, Y. (2024)
Control variates with splitting for aggregating results of Monte Carlo simulation and perturbation analysis
Structural Safety.
Volume 108 , May 2024, 102445
10.1016/j.strusafe.2024.102445
paper (available for download)
- Wang, C., Beer, M., Faes, M. , Feng, D. (2024).
Resilience assessment under imprecise probability.
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering.
Volume 10, Issue 2 , June 2024, 101061
10.1061/AJRUA6.RUENG-1244
preprint (available for download).
- Yuan, X., Zheng, W., Zhao, C., Valdebenito, M. , Faes, M., Dong, Y. (2024).
Line sampling for time-variant failure probability estimation using adaptive combination approach.
Reliability Engineering and System Safety.
Volume 243 , March 2024, 109885
10.1016/j.ress.2023.109885
preprint (available for download) .
- Jerez, D. Fragkoulis, V., Ni, P., Mitseas, I., Valdebenito, M., Faes, M., Beer, M. (2024).
Operator norm-based determination of failure probability of nonlinear oscillators with fractional derivative elements subject to imprecise stationary Gaussian loads.
Mechanical Systems and Signal Processing.
Volume 208 , 15 February 2024, 111043
10.1016/j.ymssp.2023.111043
preprint (available for download).
- Abdollahi, A., Shahraki, H., Faes, M., Rashki, M. (2024)
Soft Monte Carlo Simulation for imprecise probability estimation: A dimension reduction-based approach
Structural Safety
Volume 106 , January 2024, 102391
10.1016/j. strusafe.2023.102391
preprint (available for download)
- Song, J., Cui, Y., Wei, P., Valdebenito, M. , Zhang, W. (2024)
Constrained Bayesian optimization algorithms for estimating design points in structural reliability analysis
Reliability Engineering & System Safety
Volume 241 , January 2024, 109613
10.1016/j.ress.2023.109613
preprint (available for download
2023
- Böddecker, M., Faes, M. , Menzel, A., Valdebenito, M. (2023).
Effect of uncertainty of material parameters on stress triaxiality and Lode angle in finite elasto-plasticity - a variance-based global sensitivity analysis.
Advances in Industrial and Manufacturing Engineering.
Volume 7 , November 2023, 100128
10.1016/j.aime.2023.100128
preprint (available for download)
- Hong, F., Wei, P., Song, J., Valdebenito, MA , Faes, M. , Beer, M. (2023).
Collaborative and Adaptive Bayesian Optimization for bounding variances and probabilities under hybrid uncertainties
Computer Methods in Applied Mechanics and Engineering
Volume 417, Part A , December 2023, 116410
10.1016/j.cma.2023.116410
preprint (available for download)
- Ypsilantis, K., Kazakis, G., Faes, M. , Ivens, J., Lagaros, N. Moens, D. (2023).
A topology-based in-plane filtering technique for the combined topology and discrete fiber orientation optimization
Computer Methods in Applied Mechanics and Engineering
Volume 417, Part A , 1 December 2023, 116400
10.1016/j.cma.2023.116400
preprint (available for download)
- Valdebenito, M., Yuan, X., Faes, M. (2023)
Augmented first-order reliability method for estimating fuzzy failure probabilities
Structural Safety
Volume 105, November 2023, 102380
10.1016/j.strusafe.2023.102380
preprint (available for download)
- Van Bavel, B., Zhao, Y., Faes, M., Vandepitte, D., Moens, D. (2023).
Efficient quantification of composite spatial variability: A multiscale framework that captures intercorrelation.
Composite Structures.
Volume 323, 1 November 2023, 117462
10.1016/j.compstruct.2023.117462
preprint (available for download)
- Hong, F., Wei, P., Song, J., Faes, M., Valdebenito, M., Beer, M. (2023).
Combining Data and Physical Models for Probabilistic Analysis: A Bayesian Augmented Space Learning Perspective.
Probabilistic Engineering Mechanics.
Volume 73, July 2023, 103474
10.1016/j.probengmech.2023.103474
preprint (available for download)
- Dang, C., Valdebenito, M., Faes, M., Song, J., Wei, P., Beer, M. (2023).
Structural reliability analysis by line sampling: A Bayesian active learning treatment.
Structural Safety.
Volume 104, September 2023, 102351
10.1016/j.strusafe.2023.102351
preprint (available for download)
- Bogaerts, L., Dejans, A., Faes, M., Moens, D. (2023).
A machine learning approach for efficient and robust resistance spot welding monitoring.
Welding in the World.
10.1007/s40194-023-01519-1
preprint (available for download)
- Rashki, M., Faes, M. (2023).
No-Free-Lunch theorems for reliability analysis.
ASCE/ASME Journal for Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering.
Vol. 9, Issue 3, September 2023,
10.1061/AJRUA6.RUENG-1015
preprint (available for download)
- Yuan, X., Valdebenito, M.A., Zhang, B., Faes, M., Beer, M. (2023).
Efficient decoupling approach for reliability-based optimization based on augmented Line Sampling and combination algorithm.
Computers & Structures.
Volume 280, May 2023, 107003
10.1016/j.compstruc.2023.107003
preprint (available for download)
- van Mierlo, C., Persoons, A., Faes, M., Moens, D. (2023).
Robust design optimization of expensive stochastic simulators under lack-of-knowledge.
ASCE/ASME Journal for Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering.
Volume 9(2), 021205.
10.1115/1.4056950
- Behrendt, M., Faes, M., Valdebenito, M.A., Beer, M. (2023).
Estimation of an imprecise power spectral density function with optimised bounds from scarce data for epistemic uncertainty quantification.
Mechanical Systems and Signal Processing
Volume 189, 15 April 2023, 110072.
10.1016/j.ymssp.2022.110072
preprint (available for download)
- Yuan, X., Wang, S., Valdebenito, M.A., Faes, M., Beer, M. (2023).
Sample regeneration algorithm for structural failure probability function estimation.
Probabilistic Engineering Mechanics.
Volume 71, January 2023, 103387
10.1016/j.probengmech.2022.103387
preprint (available for download)
- Fina, M., Lauff, C., Faes, M., Valdebenito, M., Wagner, W., Freitag. S. (2022).
Bounding Imprecise Failure Probabilities in Structural Mechanics based on Maximum Standard Deviation.
Structural Safety.
Volume 101, March 2023, 102293
10.1016/j.strusafe.2022.102293
preprint (available for download)
- Yuan, X., Qian, Y. Chen, J. Faes, M., Valdebenito, M., Beer, M. (2023).
Global failure probability function estimation based on an adaptive strategy and combination algorithm.
Reliability Engineering and System Safety.
Volume 231, March 2023, 108937
10.1016/j.ress.2022.108937
preprint (available for download)
- Van Mierlo, C., Persoons, A., Faes, M., Moens, D. (2023).
Robust design optimisation under lack-of-knowledge uncertainty.
Computers & Structures.
Volume 275, 15 January 2023, 106910
10.1016/j.compstruc.2022.106910
preprint (available for download)
- Ding, C., Dang, C., Valdebenito, M., Faes, M., Broggi, M., Beer,M. (2022).
First-passage probability estimation of high-dimensional nonlinear stochastic dynamic systems by a fractional moments-based mixture distribution approach.
Mechanical Systems and Signal Processing.
Volume 185, 15 February 2023, 109775.
https://doi.org/10.1016/j.ymssp.2022.109775
preprint (available for download)
- Bartsoen, L., Faes, M.G.R., Skipper Andersen, M., Wirix-Speetjens, R., Moens, D., Jonkers, I., Vander Sloten, J. (2023).
Bayesian parameter estimation of ligament properties based on tibio-femoral kinematics during squatting.
Mechanical Systems and Signal Processing,
Volume 182, 1 January 2023, 109525.
10.1016/j.ymssp.2022.109525
preprint (available for download)
- Zheng, Z., Valdebenito, M.A., Beer, M., Nackenhorst, U.
A stochastic finite element scheme for solving partial differential equations defined on random domains.
Computer Methods in Applied Mechanics and Engineering.
Volume 405, 15 February 2023, 115860.
10.1016/j.cma.2022.115860
preprint (available for download)
- Wang, X., Yang, L., Xie, M., Valdebenito, M.A., Beer, M.
Bayesian maximum entropy method for stochastic model updating using measurement data and statistical information
Mechanical Systems and Signal Processing
Volume 188, 1 April 2023, 110012
10.1016/j.ymssp.2022.110012
preprint (available for download)
- Feng, C., Faes, M., Broggi, M., Dang, C., Yang, K., Zheng, Z., Beer, M. (2023).
Application of interval field method to the stability analysis of slopes in presence of uncertainties.
Computers & Geotechnics.
Volume 153, January 2023, 105060
10.1016/j.compgeo.2022.10506
preprint (available for download)
- Z. Zheng and M. Valdebenito and M. Beer and U.Nackenhorst (2023)
Simulation of random fields on random domains
Probabilistic Engineering Mechanics
Volume 73, July 2023, 103455
10.1016/j.probengmech.2023.103455
preprint (available for download)
2022
- Bartsoen, L., Faes, M.G.R., Wirix-Speetjens, R., Moens, D., Jonkers, I., Vander Sloten, J. (2022).
Probabilistic planning for ligament-balanced TKA - identification of critical ligament properties.
Frontiers in Bioengineering and Biotechnology.
Volume 10.
10.3389/fbioe.2022.930724
preprint (available for download)
- Dang, C., Valdebenito, M., Faes, M.G.R., Wei, P., Beer, M. (2022).
Structural Reliability Analysis, a Bayesian perspective,
Structural Safety,
Volume 99, November 2022, 102259.
10.1016/j.strusafe.2022.102259
preprint (available for download)
- Wang, G., Faes, M.G.R., Shi, T., Peng, G. (2022).
Extension of Dashpot Model with Elastoplastic Deformation and Rough Surface in Impact Behavior,
Chaos, Solitons and Fractals,
Volume 162, September 2022, 112402.
10.1016/j.chaos.2022.112402
- Dang, C., Wei, P., Faes, M.G.R., Beer, M. (2022).
Bayesian probabilistic propagation of hybrid uncertainties: Estimation of response expectation function, its variable importance and bounds,
Computers & Structures,
Volume 270, 1 October 2022, 106860.
10.1016/j.compstruc.2022.106860
preprint (available for download)
- Ypsilantis, K.I., Faes, M.G.R., Ivens, J., Laragos, N., Moens, D. (2022).
An Approach for the Concurrent Homogenization-based Microstructure Type and Topology Optimization Problem,
Computers & Structures,
Volume 272, November 2022, 106859
10.1016/j.compstruc.2022.106859
preprint (available for download)
- Dang, C., Wei, P., Faes, M., Valdebenito, M. A., Beer, M. (2022).
Parallel adaptive Bayesian quadrature for rare event estimation,
Reliability Engineering and System Safety,
Volume 225, September 2022, 108621.
10.1016/j.ress.2022.108621
preprint (available for download)
- Zhao, Y., Yang, J., Faes, M., Bi, S., Wang, Y. (2022).
The sub-interval similarity: A general uncertainty quantification metric for both stochastic and interval model updating,
Mechanical Systems and Signal Processing,
Vol.178, 109319,
10.1016/j.ymssp.2022.109319
preprint (available for download)
- Faes, M., Broggi, M., Chen, G., Phoon, K.-K., Beer, M. (2022).
Distribution-free P-box processes based on translation theory: definition and simulation.
Probabilistic Engineering Mechanics,
Vol. 69, 103287
10.1016/j.probengmech.2022.103287
preprint (available for download)
- Faes, M., Broggi, M., Spanos, P.D., Beer, M. (2022).
Elucidating appealing features of differentiable auto-correlation functions: a study on the modified exponential kernel.
Probabilistic Engineering Mechanics,
Vol. 69, 103287
10.1016/j.probengmech.2022.103269
preprint (available for download)
- Callens, R., Faes, M., Moens, D. (2022).
Multilevel Quasi-Monte Carlo For Interval Analysis.
International Journal For Uncertainty Quantification,
Issue 12(4). pp. 1–19.
doi: 10.1615/Int.J.UncertaintyQuantification.2022039245
- Dang, C., Wei, P., Faes, M. , Valdebenito, M. , Beer, M. (2022).
Interval uncertainty propagation by a parallel Bayesian global optimization method.
Applied Mathematical Modeling,
Vol. 128, Pp. 220-235
10.1016/j.apm.2022.03.031
preprint (available for download)