Reliability of probabilistic numerical data for training machine learning algorithms to detect damage in bridges-Reference-Cited by-同舟云学术

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Reliability of probabilistic numerical data for training machine learning algorithms to detect damage in bridges

Published:2022-03-05 Issue:7 Volume:29 Page:
ISSN:1545-2255
Container-title:Structural Control and Health Monitoring
language:en
Short-container-title:Structural Contr & Hlth

Author:

Bud Mihai Adrian¹,Moldovan Ionut²³^ORCID,Radu Lucian⁴,Nedelcu Mihai¹,Figueiredo Eloi²³^ORCID

Affiliation:

1. Faculty of Civil Engineering Technical University of Cluj‐Napoca Cluj‐Napoca Romania

2. Faculty of Engineering Lusófona University Lisbon Portugal

3. CERIS, Instituto Superior Técnico Universidade de Lisboa Lisbon Portugal

4. Departamento de Ciências e Tecnologias Universidade Autónoma de Lisboa Lisbon Portugal

Funder

Fundação para a Ciência e a Tecnologia

Publisher

Hindawi Limited

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/stc.2950

Reference33 articles.

1. RytterA.Vibrational based inspection of civil engineering structures. PhD Thesis; Aalborg Denmark: Aalborg University;1993.

2. Machine learning algorithms for damage detection under operational and environmental variability

3. SantosA FigueiredoE CostaJ.Clustering studies for damage detection in bridges: A comparison study. 10thInt. Workshop on Structural Health Monitoring; Stanford.2015.

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