Application of non-linear mechanical wave behavior to characterize cement based materials

J. S. Popovics, J. Payá, J. N.E. Fernández

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Non-linear wave propagation and vibration methods have been applied to detect and characterize very small scale damage and porosity in engineering materials. In recent years, several investigators have attempted to extend this promising method to characterize concrete and other cement-based materials. In this paper, the basis of non-linear tests is described and previous efforts on cement based materials are summarized. The authors' efforts on this topic are then presented. A practical nonlinear vibration testing method is described, and preliminary results from cement-based materials containing mechanical and physical-chemical induced damage types are shown. The obtained non-linear characteristics illustrate the promise of the method for sensitive detection of internal damage in cement-based materials.

Original languageEnglish (US)
Title of host publicationStructural Health Monitoring 2009
Subtitle of host publicationFrom System Integration to Autonomous Systems - Proceedings of the 7th International Workshop on Structural Health Monitoring, IWSHM 2009
EditorsFu-Kuo Chang
PublisherDEStech Publications
Pages1817-1823
Number of pages7
ISBN (Electronic)9781605950075
StatePublished - 2009
Event7th International Workshop on Structural Health Monitoring: From System Integration to Autonomous Systems, IWSHM 2009 - Stanford, United States
Duration: Sep 9 2009Sep 11 2009

Publication series

NameStructural Health Monitoring 2009: From System Integration to Autonomous Systems - Proceedings of the 7th International Workshop on Structural Health Monitoring, IWSHM 2009
Volume2

Other

Other7th International Workshop on Structural Health Monitoring: From System Integration to Autonomous Systems, IWSHM 2009
Country/TerritoryUnited States
CityStanford
Period9/9/099/11/09

ASJC Scopus subject areas

  • Health Information Management
  • Computer Science Applications

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