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Sparse Bayesian learning for damage identification using nonlinear models: Application to weld fractures of steel‐frame buildings

Author(s): ORCID (Division of Engineering and Applied Science California Institute of Technology Pasadena California USA)
ORCID (Division of Engineering and Applied Science California Institute of Technology Pasadena California USA)
(Division of Engineering and Applied Science California Institute of Technology Pasadena California USA)
(Division of Engineering and Applied Science California Institute of Technology Pasadena California USA)
Medium: journal article
Language(s): English
Published in: Structural Control and Health Monitoring, , n. 2, v. 29
DOI: 10.1002/stc.2870
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1002/stc.2870.
  • About this
    data sheet
  • Reference-ID
    10636912
  • Published on:
    30/11/2021
  • Last updated on:
    17/02/2022
 
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