Experimental characterization of nonlinear mechanical systems using Volterra models: applications in damage detection

• Grant number: 13/09008-4
• Support Opportunities: Scholarships in Brazil - Master
• Start date: August 01, 2013
• End date: August 31, 2015
• Field of knowledge: Engineering - Mechanical Engineering - Mechanics of Solids
• Principal Investigator: Samuel da Silva
• Grantee: Cristian Hansen
• Host Institution: Faculdade de Engenharia (FEIS). Universidade Estadual Paulista (UNESP). Campus de Ilha Solteira. Ilha Solteira , SP, Brazil
• Associated research grant: 12/09135-3 - Structural health monitoring in nonlinear mechanical systems through Volterra models, AP.JP
• Associated scholarship(s): 14/02431-1 - Detection and identification of non-linear structural behavior of solar array system using Volterra series, BE.EP.MS

Abstract

In recent years the characteristics of new materials, allied to extreme working conditions and energy efficiency/fuel, has made engineering structures operate increasingly in fully nonlinear regime. Thus, the dynamic analysis of these structures had incorporated sophisticated tools that allowed to identify the intrinsic characteristics which allow to know and predict the behavior of non-linear systems.Furthermore, about having problems detecting damage in structures, two approaches have been studied: (1) to consider that the structure operates under the condition of excitement and also a condition that allows a good approximation to a linear model, but in the existence of a structural damage to the system, it would operate in a non-linear way; metrics and various methods have demonstrated success in this form of analysis, (2) Considers that a structure even in the reference condition (healthy) already operates on a non-linear way, before and after damage. The condition (2) is much more complex, since the conventional damage linear metric detection may alert to the nucleation of structural damage, even if the system is not damaged at all. This paper intends to investigate experimentally using proper laboratory situations and equipment where the non-linear behavior of structures might mistakenly infer situation alerts for structural damage and present, through a simple data, on how metrics involving such as prediction errors of Volterra's series can be useful in various cases of damage detection in non-linear systems. (AU)

Scientific publications

(The scientific publications listed on this page originate from the Web of Science or SciELO databases. Their authors have cited FAPESP grant or fellowship project numbers awarded to Principal Investigators or Fellowship Recipients, whether or not they are among the authors. This information is collected automatically and retrieved directly from those bibliometric databases.)

DA SILVA, SAMUEL; HANSEN, CRISTIAN. Damage detection through nonparametric models using Kautz filters. MECCANICA, v. 56, n. 5, FEB 2021. (13/09008-4)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

HANSEN, Cristian. . 2015. Master's Dissertation - Universidade Estadual Paulista (Unesp). Faculdade de Engenharia. Ilha Solteira Ilha Solteira.