Abstract

We present an overview of research developments related to the nonlinear vibroacoustic modulation technique used for structural damage detection. The method of interest is based on nonlinear interactions of a low-frequency pumping wave and a high-frequency probing wave. These two waves are introduced to monitored structures simultaneously. Then the presence of damage is exhibited by additional frequency components that result from nonlinear damage-wave interactions. A vast amount of research has been performed in this area over the last two decades. We aim to present the state-of-the-art of these developments. The major focus is on monitoring approaches, modeling aspects, actuation/sensing, signal processing, and application examples.

Highlights

  • Structural integrity is of major concern in virtually every engineering application

  • This paper aims at summarizing the theory and practice of the nonlinear vibroacoustic wave modulation (VAM) technique applied for structural damage detection

  • The paper presented the state-of-the-art overview of the nonlinear VAM technique applied for damage detection

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Summary

Introduction

Assuring the desired performance and safe operation of engineering structures is not a trivial task This problem is important for new structures as well as for existing aging infrastructure. It is wellknown that nondestructive testing (NDT) is the field of engineering that addresses this important problem, assuring the desired level of safety.[1,2] There are numerous experimental techniques that can be used to reveal structural damage including the classical NDT methods such as: visual inspection, liquid penetrant testing, leak testing, infrared and thermal testing, x-ray radiography, electromagnetic testing, magnetic testing, ultrasonic testing, and shearography.[1,2,3,4] Current NDT techniques used for damage detection are still labor-intensive, time-consuming, and often expensive, despite numerous efforts related to automation. The intention is to provide an overview of various research activities and to underline strengths and limitations of the method when applied to specific damage detection problems

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