Recursive partitioning and Gaussian Process Regression for the detection and localization of damages in pultruded Glass Fiber Reinforced Polymer material-Reference-Cited by-同舟云学术

Recursive partitioning and Gaussian Process Regression for the detection and localization of damages in pultruded Glass Fiber Reinforced Polymer material

Published:2021-06-16 Issue:10 Volume:28 Page:
ISSN:1545-2255
Container-title:Structural Control and Health Monitoring
language:en
Short-container-title:Struct Control Health Monit

Author:

Boscato Giosuè¹^ORCID,Civera Marco²³^ORCID,Zanotti Fragonara Luca³^ORCID

Affiliation:

1. Laboratory of Strength of Materials IUAV University of Venice Venice Italy

2. Department of Mechanical and Aerospace Engineering Politecnico di Torino Torino Italy

3. School of Aerospace, Transport and Manufacturing Cranfield University Cranfield UK

Publisher

Wiley

Subject

Mechanics of Materials,Building and Construction,Civil and Structural Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/stc.2805

Reference58 articles.

1. Local Damage Detection with the Global Fitting Method Using Mode Shape Data in Notched Beams

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