Structural health monitoring for damage localization and imaging using a linear and nonlinear ultrasound subharmonic and modulation method

Gian Piero Malfense Fierro, Salvatore Boccardi, Michele Meo

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

Abstract

Structural health monitoring (SHM) of components is fast becoming a vital part of the in-service maintenance and evaluation of components and structures throughout various industries. This work presents a linear and nonlinear ultrasound subharmonic and modulation method for the localisation and imaging of barely visible impact damage in composite materials. Both linear and nonlinear techniques are used in order to combine the high sensitivity of nonlinear techniques with the accuracy of linear methods in damage cases where large impedance mismatches occur. A sparse array of ultrasound transducers and sensors was used to evaluate the linear and nonlinear subharmonic and modulated elastic responses of a complex composite stiffener panel using a nonlinear multi-path reciprocal (NEMR) methodology. The reciprocal method determines the location of damage between two paths, with higher nonlinear responses occurring at sensors close to the damage and vice versa for linear measurements. The reciprocal method is combined with a statistical method to group individual frequencies which relate to the damaged region and creates a point cloud which locates damage according to coordinate positions (x, y) and images damage according to a linear or nonlinear amplitude (z). Traditionally, SHM methods only provide damage localisation information, the proposed method not only provides imaging of damage region but does so without a priori knowledge of the wave velocity and without baseline measurements of undamaged samples.

Original languageEnglish
Title of host publicationStructural Health Monitoring 2019
Subtitle of host publicationEnabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring
EditorsFu-Kuo Chang, Alfredo Guemes, Fotis Kopsaftopoulos
PublisherDEStech Publications Inc.
Pages637-644
Number of pages8
ISBN (Electronic)9781605956015
Publication statusAcceptance date - 19 Aug 2019
Event12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019 - Stanford, USA United States
Duration: 10 Sept 201912 Sept 2019

Conference

Conference12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019
Country/TerritoryUSA United States
CityStanford
Period10/09/1912/09/19

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Information Management

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