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

Abstract

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)

Scientific publications

(7)

(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)

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, NOV 2021. (19/19684-3, 16/21973-5, 20/07449-7, 17/15512-8)

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, DEC 2021. (19/06540-3, 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, MAY 2021. (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, OCT 2020. (18/15671-1, 19/19684-3, 17/15512-8, 19/11755-9)

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, JAN 15 2022. (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, JAN 2 2021. (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, APR 2021. (19/06540-3, 19/19684-3, 16/21973-5, 17/15512-8)