Webbläsaren som du använder stöds inte av denna webbplats. Alla versioner av Internet Explorer stöds inte längre, av oss eller Microsoft (läs mer här: * https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Var god och använd en modern webbläsare för att ta del av denna webbplats, som t.ex. nyaste versioner av Edge, Chrome, Firefox eller Safari osv.

Characterization of progressive damage in concrete using impact non-linear reverberation spectroscopy

Författare

Summary, in English

Nonlinear acoustic methods have shown potential for the identification of early damage in brittle materials such

as concrete. Commonly, these methods evaluate relative nonlinearity parameters from multiple resonance tests at

different amplitudes. We demonstrate a recently developed alternative method, Impact Nonlinear Reverberation

Spectroscopy (INRS), where quantitative nonlinearity parameters are evaluated from a single impact resonance

test. The recorded reverberation of the measured signal is matched to a synthetic nonlinear damped signal. The

proposed model allows instantaneous true physical amplitude, frequency, and damping of each mode to be

characterized as a function of time, allowing for quantitative information of the nonlinear parameters. The

hysteretic material nonlinearity can be quantitatively characterized over a notably wider dynamic range compared

to conventional methods. Two examples from the application to concrete and stabilized soil are presented.

Avdelning/ar

Publiceringsår

2015

Språk

Engelska

Publikation/Tidskrift/Serie

International Symposium Non-Destructive Testing in Civil Engineering (NDT-CE 2015), Proceedings of

Dokumenttyp

Konferensbidrag

Ämne

  • Signal Processing

Nyckelord

  • Impact resonance test
  • Nonlinear
  • Reverberation spectroscopy

Conference name

International Symposium Non-Destructive Testing in Civil Engineering (NDT-CE 2015)

Conference date

2015-09-15 - 2015-09-17

Status

Published

Forskningsgrupp

  • Statistical Signal Processing Group
  • Spatio-Temporal Stochastic Modelling Group
  • Biomedical Modelling and Computation