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

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autorschaft

  • A. Persoons
  • P. Wei
  • L. Bogaerts
  • D. Moens
  • M. Broggi
  • M. Beer

Externe Organisationen

  • KU Leuven
  • Northwestern Polytechnical University

Details

OriginalspracheEnglisch
Titel des SammelwerksProceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics
Herausgeber/-innenW. Desmet, B. Pluymers, D. Moens, S. Neeckx
Seiten4985-4998
Seitenumfang14
ISBN (elektronisch)9789082893151
PublikationsstatusVeröffentlicht - 12 Sept. 2022
VeranstaltungISMA2022 - International Conference on Noise and Vibration Engineering; USD2022 - International Conference on Uncertainty in Structural Dynamics - Leuven, Belgien
Dauer: 12 Sept. 202214 Sept. 2022

Abstract

This article describes a new adaptive Kriging method designed to alleviate the limitations of other related approaches encounter in cases of extremely rare failure events. The main idea is to iteratively reduce both surrogate modelling error and sampling error. To do so the adaptive Kriging framework is associated with the multiple adaptive importance sampling scheme where the auxiliary distribution is iteratively built as a near-optimal Gaussian mixture. The estimator associated with he Gaussian mixture importance sampling is given as well as a stopping criterion based on both the estimated sampling and modelling error. The performances are finally illustrated on two benchmark problems.

ASJC Scopus Sachgebiete

Zitieren

A new scheme combining adaptive Kriging with adaptative variance-reduction using Gaussian mixture importance sampling. / Persoons, A.; Wei, P.; Bogaerts, L. et al.
Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics. Hrsg. / W. Desmet; B. Pluymers; D. Moens; S. Neeckx. 2022. S. 4985-4998.

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Persoons, A, Wei, P, Bogaerts, L, Moens, D, Broggi, M & Beer, M 2022, A new scheme combining adaptive Kriging with adaptative variance-reduction using Gaussian mixture importance sampling. in W Desmet, B Pluymers, D Moens & S Neeckx (Hrsg.), Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics. S. 4985-4998, ISMA2022 - International Conference on Noise and Vibration Engineering; USD2022 - International Conference on Uncertainty in Structural Dynamics, Leuven, Belgien, 12 Sept. 2022. https://doi.org/10.5281/zenodo.7568688
Persoons, A., Wei, P., Bogaerts, L., Moens, D., Broggi, M., & Beer, M. (2022). A new scheme combining adaptive Kriging with adaptative variance-reduction using Gaussian mixture importance sampling. In W. Desmet, B. Pluymers, D. Moens, & S. Neeckx (Hrsg.), Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics (S. 4985-4998) https://doi.org/10.5281/zenodo.7568688
Persoons A, Wei P, Bogaerts L, Moens D, Broggi M, Beer M. A new scheme combining adaptive Kriging with adaptative variance-reduction using Gaussian mixture importance sampling. in Desmet W, Pluymers B, Moens D, Neeckx S, Hrsg., Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics. 2022. S. 4985-4998 doi: 10.5281/zenodo.7568688
Persoons, A. ; Wei, P. ; Bogaerts, L. et al. / A new scheme combining adaptive Kriging with adaptative variance-reduction using Gaussian mixture importance sampling. Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics. Hrsg. / W. Desmet ; B. Pluymers ; D. Moens ; S. Neeckx. 2022. S. 4985-4998
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