0
  • DE
  • EN
  • FR
  • International Database and Gallery of Structures

Advertisement

Gaussian process regression for active sensing probabilistic structural health monitoring: experimental assessment across multiple damage and loading scenarios

Author(s): (Department of Mechanical, Aerospace and Nuclear Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA)
ORCID (Department of Mechanical, Aerospace and Nuclear Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 2, v. 22
Page(s): 147592172210987
DOI: 10.1177/14759217221098715
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: 10.1177/14759217221098715.
  • About this
    data sheet
  • Reference-ID
    10680438
  • Published on:
    18/06/2022
  • Last updated on:
    21/03/2023
 
Structurae cooperates with
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine