Damage detection in nonlinear structures using discrete-time volterra series
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Data
2013-09-16
Autores
Shiki, Sidney Bruce [UNESP]
Junior, Vicente Lopes [UNESP]
Da Silva, Samuel [UNESP]
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Resumo
Structural damage identification is basically a nonlinear phenomenon; however, nonlinear procedures are not used currently in practical applications due to the complexity and difficulty for implementation of such techniques. Therefore, the development of techniques that consider the nonlinear behavior of structures for damage detection is a research of major importance since nonlinear dynamical effects can be erroneously treated as damage in the structure by classical metrics. This paper proposes the discrete-time Volterra series for modeling the nonlinear convolution between the input and output signals in a benchmark nonlinear system. The prediction error of the model in an unknown structural condition is compared with the values of the reference structure in healthy condition for evaluating the method of damage detection. Since the Volterra series separate the response of the system in linear and nonlinear contributions, these indexes are used to show the importance of considering the nonlinear behavior of the structure. The paper concludes pointing out the main advantages and drawbacks of this damage detection methodology. © (2013) Trans Tech Publications.
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Nonlinear structures, Structural health monitoring, System identification, Volterra series, Non-linear phenomena, Nonlinear behavior, Nonlinear contributions, Nonlinear dynamical effect, Nonlinear structure, Structural condition, Structural damage identification, Volterra Series, Identification (control systems), Damage detection
Como citar
Key Engineering Materials, v. 569-570, p. 876-883.