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Evaluation of damage indexes for structural health monitoring in nonlinear structures

Grant number: 15/03560-2
Support type:Scholarships abroad - Research Internship - Doctorate (Direct)
Effective date (Start): June 01, 2015
Effective date (End): October 31, 2015
Field of knowledge:Engineering - Mechanical Engineering
Principal Investigator:Samuel da Silva
Grantee:Sidney Bruce Shiki
Supervisor abroad: Michael D. Todd
Home Institution: Faculdade de Engenharia (FEIS). Universidade Estadual Paulista (UNESP). Campus de Ilha Solteira. Ilha Solteira , SP, Brazil
Local de pesquisa : University of California, San Diego (UC San Diego), United States  
Associated to the scholarship:13/25148-0 - Application of Volterra series in nonlinear mechanical system identification and in structural health monitoring problems, BP.DD

Abstract

Nonlinear behavior can be important for the monitoring of the structural state of mechanical systems since it can be mistakenly classified as a damage. However, nonlinear tools are still not consolidated and need further research. Discrete-time Volterra series is an interesting mathematical framework to deal with nonlinear dynamics since it is a clear generalization of the linear convolution. This type of model can be applied in order to detect structural variations in nonlinear systems. In the present proposal the student will spend 5 months in the Structural Health Monitoring Laboratory of the University of California San Diego under the supervision of Prof. Michael D. Todd. During this period the proposed damage index will be investigated under the perspective of statistical pattern recognition in order to obtain a reliable method of damage detection in nonlinear structures. (AU)

Scientific publications
(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)
SHIKI, SIDNEY B.; DA SILVA, SAMUEL; TODD, MICHAEL D. On the application of discrete-time Volterra series for the damage detection problem in initially nonlinear systems. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, v. 16, n. 1, p. 62-78, JAN 2017. Web of Science Citations: 8.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.