Skip to content 1
PT-BR
Close side menu
Logo da Universidade Federal de Juiz de Fora

Postgraduate Programme in Civil Engineering (PEC)

Prof. Flávio de Souza Barbosa

CNPq research productivity scholarship – Level 2

e-mail: flavio.barbosa@engenharia.ufjf.br

 

Full Professor at the Federal University of Juiz de Fora. He was Coordinator of the Graduate Program in Civil Engineering at UFJF between 2019 and 2023. Modal Analysis, Vibration Control; Structural Monitoring – SHM; Artificial Intelligence and Image Processing applied to the analysis of structures. Degree in Civil Engineering from UFJF (1994), Master’s (1996) and Doctorate (2000) in Civil Engineering from COPPE/UFRJ. Between 2001 and 2002 he did a Post-Doctorate at the Laboratoire Central des Ponts et Chaussées (LCPC, current Université Gustave Eiffel) in Paris with the theme: Structural Dynamic Identification. Visiting professor at the following universities: Université de Cergy-Pontoise (France) 2009, 2010, 2011, 2012 and 2013; Politecno di Milano (Italy) 2016; Université Paris Nanterre (France) 2017. Universidad Nacional de Cuyo (Argentina) 2023. Journal Editor: Structural Engineering International (SEI) – IABSE Journal – since 2015. Permanent Member of the Scientific Committee of EVACES (Experimental Vibration Analysis for Civil Engineering Structures) . He is a CNPq level II productivity fellow in the Civil Engineering Committee.

Knowledge Area: Structures and Materials

Lines of Research: Structural Mechanics

Modules:

  • Experimental Analysis
  • Dynamics of Structures

Research Projects:

  • 2022 – Current. Project coordinator: “Development of SHM strategies for Railways”. Participation of UFJF – UnB – DNIT – UNESP – ISEP (Portugal) – RUMO Malha Logística S.A. – UNCUYO (Argentina)

Funding: CNPq/FNDCT/MCT

 

  • 2022 – Current. Project coordinator: “Deep machine learning algorithms for structural damage monitoring systems

Funding: CNPq

Recent Outcomes:

  • FINOTTI, R. P.; GENTILE, C.; BARBOSA, F. S.; Cury, A. A. Structural novelty detection based on sparse autoencoders and control charts. STRUCTURAL ENGINEERING AND MECHANICS, v.81, p.647 – 664, 2022.
     https://doi.org/10.12989/sem.2022.81.5.647

 

  • FINOTTI, RAFAELLE PIAZZAROLI; BARBOSA, FLÁVIO DE SOUZA; CURY, ALEXANDRE ABRAHÃO; PIMENTEL, ROBERTO LEAL. Numerical and Experimental Evaluation of Structural Changes Using Sparse Auto-Encoders and SVM Applied to Dynamic Responses. Applied Sciences-Basel. , v.11, p.11965 – , 202

http://dx.doi.org/10.3390/app112411965

 

  • ANDRADE NUNES, LORENA; PIAZZAROLI FINOTTI AMARAL, RAFAELLE; SOUZA BARBOSA, FLÁVIO DE; ABRAHÃO CURY, ALEXANDRE. A hybrid learning strategy for structural damage detection. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, v.1, p.147592172096694 – , 2020..

 http://dx.doi.org/10.1177/1475921720966943

 

  •  FINOTTI, R. P.; CURY, A.A.; Barbosa, F.S. An SHM approach using machine learning and statistical indicators extracted from raw dynamic measurements. Latin American Journal of Solids and Structures, v.16, p.1 – 17, 2019.

http://dx.doi.org/10.1590/1679-78254942

 

  • FERREIRA, GABRIEL SOARES; PIMENTEL, ROBERTO LEAL; BARBOSA, FLÁVIO DE SOUZA. Evaluation of two crack models for reinforced concrete one-way slabs subjected to bending by means of modal tests. STRUCTURES, v.28, p.2013 – 2022, 2020. 

http://dx.doi.org/10.1016/j.istruc.2020.10.025

Current Supervisions:

MSC

  • Matheus Júnior Silveira Dalcin. Use of convolutional autoencoders for damage detection in structures. Beginning: 2022. Dissertation (Academic Master’s Degree in Civil Engineering) – Federal University of Juiz de Fora. (Advisor)..
  • Ricardo Vidal Teixeira. Beginning: 2022. Neural Networks Applied to SHM. Dissertation (Academic Masters in Civil Engineering) – Federal University of Juiz de Fora. (Advisor).
  • Lucas Oliveira Scarton. Beginning: 2022. Evaluation of Dimensioning Standards for the Calculation of Masonry Structures. Dissertation (Academic Masters in Civil Engineering) – Federal University of Juiz de Fora. (Advisor).

PhD

  • Clayton Felicio da Silva. Application of SHM strategies for monitoring the integrity of railway pavements. Beginning: 2022. Thesis (Academic Doctorate in Civil Engineering) – University of Brasília. (co-advisor).
  • Eric Vargas Loureiro. Computational Analysis of Wind Turbines. Thesis (Academic Doctorate in Computational Modeling) – Federal University of Juiz de Fora (co-advisor).

Finished Supervisions:

MSC

  • Clayton Felicio da Silva. A comparative analysis of the performance of Kernel Smoother and Monte Carlo methods applied to structural reliability problems. 2022. Dissertation (Civil Engineering) – Federal University of Juiz de Fora (Advisor).
  • Eduarda Marques Ferreira. Analysis of computational models for evaluating the mechanical behavior of cracked concrete. 2021. Dissertation (Civil Engineering) – Federal University of Juiz de Fora (Advisor).
  • Aristides Pereira Orlandi. Analysis of the collapse of structures from localized faults. 2020. Dissertation (Civil Engineering) – Federal University of Juiz de Fora (Advisor).

PhD

  • Rafaelle Piazzaroli Finotti Amaral. Artificial Intelligence Applied to Monitoring Structures: Detection of Mechanical-Structural Changes Based on the Use of Sparse Autocoding Neural Networks for the Characterization of Dynamic Responses. 2022. Thesis (Computational Modeling) – Federal University of Juiz de Fora (Advisor)
  • Marcelo Ribeiro. Numerical and Computational Analysis of Control Systems for Structural Vibrations Induced by Wind Action. 2018. Thesis (Doctorate in Computational Modeling) – Federal University of Juiz de Fora (Advisor)
  •  Waldir Felippe Neme Filho. Development of a computational model to simulate the dynamic behavior of sandwich beams with a viscoelastic damping layer. 2016. Thesis (Computational Modeling) – Graduate Program in Computational Modeling (Advisor)
arrow_upward home