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Integrating visual sensing and structural identification using 3D-digital image correlation and topology optimization to detect and reconstruct the 3D geometry of structural damage

Author(s): ORCID (Department of Engineering Systems and Environment, University of Virginia, Charlottesville, VA, USA)
(Department of Engineering Systems and Environment, University of Virginia, Charlottesville, VA, USA)
ORCID (Department of Civil and Environmental, University of California, Los Angeles, CA, USA)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 6, v. 21
Page(s): 147592172110735
DOI: 10.1177/14759217211073505
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: 10.1177/14759217211073505.
  • About this
    data sheet
  • Reference-ID
    10662018
  • Published on:
    28/03/2022
  • Last updated on:
    10/12/2022
 
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