Bayesian learning in structural dynamics: a comprehensive review and emerging trends

Wang-Ji Yan, Lin-Feng Mei, Yuan-Wei Yin, Jiang Mo, Costas Papadimitriou, Ka-Veng Yuen, Michael Beer

Open source

DOI: 10.1016/j.ymssp.2026.114661
Published: 2026-09
Container: Mechanical Systems and Signal Processing
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.ymssp.2026.114661,
  title = {Bayesian learning in structural dynamics: a comprehensive review and emerging trends},
  author = {Wang-Ji Yan and Lin-Feng Mei and Yuan-Wei Yin and Jiang Mo and Costas Papadimitriou and Ka-Veng Yuen and Michael Beer},
  year = {2026},
  journal = {Mechanical Systems and Signal Processing},
  doi = {10.1016/j.ymssp.2026.114661},
  url = {https://doi.org/10.1016/j.ymssp.2026.114661}
}

RIS

TY  - JOUR
TI  - Bayesian learning in structural dynamics: a comprehensive review and emerging trends
AU  - Wang-Ji Yan
AU  - Lin-Feng Mei
AU  - Yuan-Wei Yin
AU  - Jiang Mo
AU  - Costas Papadimitriou
AU  - Ka-Veng Yuen
AU  - Michael Beer
PY  - 2026
JO  - Mechanical Systems and Signal Processing
DO  - 10.1016/j.ymssp.2026.114661
UR  - https://doi.org/10.1016/j.ymssp.2026.114661
ER  -

APA

Yan, W., Mei, L., Yin, Y., Mo, J., Papadimitriou, C., Yuen, K., & Beer, M. (2026). Bayesian learning in structural dynamics: a comprehensive review and emerging trends. Mechanical Systems and Signal Processing. https://doi.org/10.1016/j.ymssp.2026.114661

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crossref · retrieved 2026-09-25T17:22:25.650Z