Delwedd Flaen

Long-Term Structural Health Monitoring by Remote Sensing and Advanced Machine Learning A Practical Strategy via Structural Displacements from Synthetic Aperture Radar Images /

This book offers an in-depth investigation into the complexities of long-term structural health monitoring (SHM) in civil structures, specifically focusing on the challenges posed by small data and environmental and operational changes (EOCs). Traditional contact-based sensor networks in SHM produce...

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Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Prif Awduron: Entezami, Alireza (Awdur), Behkamal, Bahareh (Awdur), De Michele, Carlo (Awdur)
Awdur Corfforaethol: SpringerLink (Online service)
Fformat: Electronig eLyfr
Iaith:Saesneg
Cyhoeddwyd: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Rhifyn:1st ed. 2024.
Cyfres:PoliMI SpringerBriefs,
Pynciau:
Building materials.
Machine learning.
Buildings > Design and construction.
Engineering > Data processing.
Structural Materials.
Machine Learning.
Building Construction and Design.
Data Engineering.
Mynediad Ar-lein:https://doi.org/10.1007/978-3-031-53995-4
Tagiau: Ychwanegu Tag
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
Tabl Cynhwysion:
  • Pioneering Remote Sensing in Structural Health Monitoring
  • Advanced ML Methods: Bridging SAR Images and Structural Health Monitoring
  • Simulating Reality: Numerical Assessments of a Bridge Health Monitoring
  • From Theory to Reality: Advanced SHM Methods to the Tadcaster Bridge
  • Conclusions and Prospects for Structural Health Monitoring.

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