Computationally efficient Bayesian inference for probabilistic model updating with polynomial chaos and Gibbs sampling
Autor(en): |
Qiang Han
(Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education Beijing University of Technology Beijing China)
Pinghe Ni (Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education Beijing University of Technology Beijing China) Xiuli Du (Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education Beijing University of Technology Beijing China) Hongyuan Zhou (Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education Beijing University of Technology Beijing China) Xiaowei Cheng (Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education Beijing University of Technology Beijing China) |
---|---|
Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | Structural Control and Health Monitoring, 11 April 2022, n. 6, v. 29 |
DOI: | 10.1002/stc.2936 |
- Über diese
Datenseite - Reference-ID
10656567 - Veröffentlicht am:
17.02.2022 - Geändert am:
09.05.2022