Finite Element–Based Machine-Learning Approach to Detect Damage in Bridges under Operational and Environmental Variations-Reference-Cited by-同舟云学术

Finite Element–Based Machine-Learning Approach to Detect Damage in Bridges under Operational and Environmental Variations

Published:2019-07 Issue:7 Volume:24 Page:04019061
ISSN:1084-0702
Container-title:Journal of Bridge Engineering
language:en
Short-container-title:J. Bridge Eng.

Author:

Figueiredo Eloi¹^ORCID,Moldovan Ionut²^ORCID,Santos Adam³^ORCID,Campos Pedro⁴,Costa João C. W. A.⁵

Affiliation:

1. Associate Professor, Faculty of Engineering, Univ. Lusófona de Humanidades e Tecnologias, Campo Grande 376, Lisbon 1749-024, Portugal; Integrated Member, CONSTRUCT, Institute of R&D in Structures and Construction, R. Dr. Roberto Frias s/n, Porto 4200-465, Portugal (corresponding author). ORCID: .

2. Assistant Professor, Faculty of Engineering, Univ. Lusófona de Humanidades e Tecnologias, Campo Grande 376, Lisbon 1749-024, Portugal; Integrated Member, CERIS, Instituto Superior Técnico, Univ. de Lisboa, Av Rovisco Pais, Lisbon 1049-001, Portugal. ORCID: .

3. Assistant Professor, Faculty of Computing and Electrical Engineering, Univ. Federal do Sul e Sudeste do Pará, F. 17, Q. 4, L. E., Marabá, Pará 68505-080, Brazil. ORCID: .

4. Graduate Student, Faculty of Engineering, Univ. Lusófona de Humanidades e Tecnologias, Campo Grande 376, Lisbon 1749-024, Portugal.

5. Full Professor, Applied Electromagnetism Laboratory, Univ. Federal do Pará, R. Augusto Corrêa, Guamá 1, Belém, Pará 66075-110, Brazil.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29BE.1943-5592.0001432

Reference26 articles.

1. Barthorpe R. J. 2010. “On model- and data-based approaches to structural health monitoring.” Ph.D. thesis Univ. of Sheffield.

2. Time Series Analysis

3. Predictive Analysis by Incorporating Uncertainty through a Family of Models Calibrated with Structural Health-Monitoring Data

4. Vibration–based structural damage identification

5. Maximum likelihood from incomplete data via the EM algorithm;Dempster A. P.;J. R. Stat. Soc. Ser. B Stat. Method.,1977

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