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Drive‐by health monitoring of highway bridges using Bayesian estimation technique for damage classification

Author(s): (School of Mathematical and Statistical Sciences Clemson University Clemson South Carolina USA)
ORCID (Glenn Department of Civil Engineering Clemson University Clemson South Carolina USA)
(Glenn Department of Civil Engineering Clemson University Clemson South Carolina USA)
(Glenn Department of Civil Engineering Clemson University Clemson South Carolina USA)
(School of Mathematical and Statistical Sciences Clemson University Clemson South Carolina USA)
Medium: journal article
Language(s): English
Published in: Structural Control and Health Monitoring, , n. 6, v. 29
DOI: 10.1002/stc.2944
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.2944.
  • About this
    data sheet
  • Reference-ID
    10660174
  • Published on:
    28/03/2022
  • Last updated on:
    09/05/2022
 
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