1. A multivariate interval approach for inverse uncertainty quantification with limited experimental data. (1st March 2019) Authors: Faes, Matthias; Broggi, Matteo; Patelli, Edoardo; Govers, Yves; Mottershead, John; Beer, Michael; Moens, David Journal: Mechanical systems and signal processing Issue: Volume 118(2019) Page Start: 534 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. An efficient importance sampling approach for reliability analysis of time-variant structures subject to time-dependent stochastic load. (October 2021) Authors: Yuan, Xiukai; Liu, Shaolong; Faes, Matthias; Valdebenito, Marcos.A.; Beer, Michael Journal: Mechanical systems and signal processing Issue: Volume 159(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Data-driven and active learning of variance-based sensitivity indices with Bayesian probabilistic integration. (15th January 2022) Authors: Song, Jingwen; Wei, Pengfei; Valdebenito, Marcos A.; Faes, Matthias; Beer, Michael Journal: Mechanical systems and signal processing Issue: Volume 163(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Hybrid spatial uncertainty analysis for the estimation of imprecise failure probabilities in Laser Sintered PA-12 parts. (1st October 2019) Authors: Faes, Matthias; Sabyasachi, Ghosh Dastidar; Moens, David Journal: Computers & mathematics with applications Issue: Volume 78:issue 7(2019) Page Start: 2395 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Imprecise random field analysis with parametrized kernel functions. (1st December 2019) Authors: Faes, Matthias; Moens, David Journal: Mechanical systems and signal processing Issue: Volume 134(2019) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. Influence of measurement data metrics on the identification of Interval Fields for the representation of spatial variability in finite element models. Issue 1 (25th October 2016) Authors: Faes, Matthias; Cerneels, Jasper; Vandepitte, Dirk; Moens, David Journal: Proceedings in applied mathematics and mechanics Issue: Volume 16:Issue 1(2016) Page Start: 27 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. On auto‐ and cross‐interdependence in interval field finite element analysis. (6th January 2020) Authors: Faes, Matthias; Moens, David Journal: International journal for numerical methods in engineering Issue: Volume 121:Number 9(2020) Page Start: 2033 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Quantification of non-homogeneous interval uncertainty based on scatter in modal properties. (2017) Authors: Faes, Matthias; Moens, David Journal: Procedia engineering Issue: Volume 199(2017) Page Start: 1216 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. Robust efficient global optimisation via adaptive surrogate refinement. Issue 1 (18th November 2019) Authors: Le Carrer, Noémie; Moens, David; Faes, Matthias Other Names: Eberhardsteiner J. guestEditor.; Schöberl M. guestEditor. Journal: Proceedings in applied mathematics and mechanics Issue: Volume 19:Issue 1(2019) Page Start: n/a Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗