Advanced search
Start date

Nonlinear structural health monitoring of structures assembled by bolted joints

Grant number: 19/19684-3
Support Opportunities:Regular Research Grants
Duration: May 01, 2020 - April 30, 2022
Field of knowledge:Engineering - Mechanical Engineering - Mechanics of Solids
Principal Investigator:Samuel da Silva
Grantee:Samuel da Silva
Host Institution: Faculdade de Engenharia (FEIS). Universidade Estadual Paulista (UNESP). Campus de Ilha Solteira. Ilha Solteira , SP, Brazil
Associated researchers: Americo Barbosa da Cunha Junior ; Michael Douglas Todd


Many points are still open in the literature for the detection and quantification of damage in structures assembled by bolted joints. The most challenging to overcome is to represent the nonlinear damping and hysteresis effect adequately using reduced models robust to uncertainties. The present project aims to introduce new approaches based on data-driven identification using Gaussian Processo Regression with Nonlinear AutoRegressive input eXogenous, named by GP-NARX, as well as applications of harmonic probing, harmonic balance, and Volterra series. The Bouc-Wen model, LuGre model, and Iwan model will be defined by describing hysteresis impacts in the bolted joints to recognize the fluctuations of nonlinear vibrations possible associated with damage. The step of damage detection and classification proposed will be based on hypothesis tests, and machine learning algorithms handling damage-sensitive features extracted from the hysteresis loop identified with new indices. All details, motivation, collaboration, expected results, scientific contributions, and support staff are described in this proposal. (AU)

Articles published in Agência FAPESP Newsletter about the research grant:
Articles published in other media outlets (0 total):
More itemsLess items

Scientific publications (15)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
TELOLI, RAFAEL DE O.; BUTAUD, PAULINE; CHEVALLIER, GAEL; DA SILVA, SAMUEL. Good practices for designing and experimental testing of dynamically excited jointed structures: The Orion beam. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, v. 163, . (19/19684-3, 19/06540-3, 16/21973-5)
YANO, MARCUS OMORI; VILLANI, LUIS G. G.; DA SILVA, SAMUEL; FIGUEIREDO, ELOI. Autoregressive model extrapolation using cubic splines for damage progression analysis. Journal of the Brazilian Society of Mechanical Sciences and Engineering, v. 43, n. 1, . (15/25676-2, 17/15512-8, 19/19684-3)
TELOLI, RAFAEL DE O.; DA SILVA, SAMUEL; RITTO, THIAGO G.; CHEVALLIER, GAEL. Bayesian model identification of higher-order frequency response functions for structures assembled by bolted joints. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, v. 151, . (19/06540-3, 19/19684-3, 16/21973-5, 17/15512-8)
YANO, MARCUS OMORI; FIGUEIREDO, ELOI; DA SILVA, SAMUEL; CURY, ALEXANDRE; MOLDOVAN, IONUT. Transfer Learning for Structural Health Monitoring in Bridges That Underwent Retrofitting. BUILDINGS, v. 13, n. 9, p. 13-pg., . (19/19684-3)
DA SILVA, SAMUEL; VILLANI, LUIS G. G.; REBILLAT, MARC; MECHBAL, NAZIH. Gaussian Process NARX Model for Damage Detection in Composite Aircraft Structures. JOURNAL OF NONDESTRUCTIVE EVALUATION, DIAGNOSTICS AND PROGNOSTICS OF ENGINEERING SYSTEMS, v. 5, n. 1, p. 8-pg., . (17/15512-8, 19/19684-3, 15/25676-2)
DA SILVA, SAMUEL; FIGUEIREDO, ELOI; MOLDOVAN, IONUT. Damage Detection Approach for Bridges under Temperature Effects using Gaussian Process Regression Trained with Hybrid Data. JOURNAL OF BRIDGE ENGINEERING, v. 27, n. 11, p. 12-pg., . (19/19684-3)
RAQUETI, RAFAEL DA S.; TELOLI, RAFAEL DE O.; DA SILVA, SAMUEL; BUSSETTA, PHILIPPE; CUNHA JR, AMERICO. On the use of Stochastic Bouc-Wen model for simulating viscoelastic internal variables from a finite element approximation of steady-rolling tire. JOURNAL OF VIBRATION AND CONTROL, v. N/A, p. 15-pg., . (16/21973-5, 19/19684-3)
FIGUEIREDO, ELOI; OMORI YANO, MARCUS; DA SILVA, SAMUEL; MOLDOVAN, IONUT; ADRIAN BUD, MIHAI. Transfer Learning to Enhance the Damage Detection Performance in Bridges When Using Numerical Models. JOURNAL OF BRIDGE ENGINEERING, v. 28, n. 1, p. 13-pg., . (19/19684-3)
NORENBERG, JOAO PEDRO; CUNHA JR, AMERICO; DA SILVA, SAMUEL; VAROTO, PAULO SERGIO. Global sensitivity analysis of asymmetric energy harvesters. NONLINEAR DYNAMICS, v. N/A, p. 16-pg., . (19/19684-3)
PAVLACK, BRUNA; PAIXAO, JESSE; DA SILVA, SAMUEL; CUNHA, JR., AMERICO; GARCIA CAVA, DAVID. olynomial Chaos-Kriging metamodel for quantification of the debonding area in large wind turbine blade. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, v. 21, n. 2, . (17/15512-8, 18/15671-1, 19/19684-3, 19/11755-9)
PAIXAO, JESSE; DA SILVA, SAMUEL; FIGUEIREDO, ELOI; RADU, LUCIAN; PARK, GYUHAE. Delamination area quantification in composite structures using Gaussian process regression and auto-regressive models. JOURNAL OF VIBRATION AND CONTROL, v. 27, n. 23-24, . (18/15671-1, 19/19684-3, 17/15512-8, 19/11755-9)
TELOLI, RAFAEL DE OLIVEIRA; BUTAUD, PAULINE; CHEVALLIER, GAEL; DA SILVA, SAMUEL. Dataset of experimental measurements for the Orion beam structure. DATA IN BRIEF, v. 39, . (19/06540-3, 19/19684-3)
YANO, MARCUS OMORI; DA SILVA, SAMUEL; FIGUEIREDO, ELOI; GIACON VILLANI, LUIS G.. Damage quantification using transfer component analysis combined with Gaussian process regression. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, v. N/A, p. 18-pg., . (19/19684-3)
TELOLI, RAFAEL DE OLIVEIRA; VILLANI, LUIS G. G.; DA SILVA, SAMUEL; TODD, MICHAEL D.. On the use of the GP-NARX model for predicting hysteresis effects of bolted joint structures. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, v. 159, p. 20-pg., . (19/19684-3, 16/21973-5, 15/25676-2, 17/24977-4)
MIGUEL, LUCCAS PEREIRA; TELOLI, RAFAEL DE OLIVEIRA; DA SILVA, SAMUEL. Bayesian model identification through harmonic balance method for hysteresis prediction in bolted joints. NONLINEAR DYNAMICS, v. 107, n. 1, . (19/19684-3, 16/21973-5, 20/07449-7, 17/15512-8)

Please report errors in scientific publications list using this form.