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Numerical simulation of acoustic emission activity in reinforced concrete structures by means of finite element modelling at the macroscale
- Source :
- Structural Health Monitoring. 19:537-551
- Publication Year :
- 2019
- Publisher :
- SAGE Publications, 2019.
-
Abstract
- Acoustic emissions have been widely used as a means to investigate the damage state of concrete structures. While successful applications have regarded the localisation of cracks, quantification of the damage and safety margin estimation have been elusive because the main approaches are mostly based on empirical observations. In this work, a methodology for the numerical simulation of acoustic emission events in reinforced concrete structures is proposed with the aim of filling this gap. It relies on a numerical model for reinforced concrete structures at the macro-scale which simulates the mechanical cyclic behaviour of the structure. Analysis of the stress and strain states in the numerical model provides the basis for the simulation of the occurrence and quantification of the events. A simple attenuation law is then used to estimate the acoustic event intensity recorded by the sensors. Application to a four-point bending test on a reinforced concrete beam confirms the capability of the model to reproduce the data recorded during the test, including the Felicity effect and the cumulative intensity curve. This could potentially open the path to a more quantitative use of acoustic emission data for structural assessment of reinforced concrete structures, directly linking mechanical models and acoustic observations.
- Subjects :
- Materials science
Computer simulation
business.industry
Mechanical Engineering
0211 other engineering and technologies
Biophysics
020101 civil engineering
02 engineering and technology
Structural engineering
Reinforced concrete
Finite element method
0201 civil engineering
Acoustic emission
Acoustic emissions
Felicity ratio
ultrasound wave attenuation
021105 building & construction
cyclic behaviour
fixed-strut angle model
business
Subjects
Details
- ISSN :
- 17413168 and 14759217
- Volume :
- 19
- Database :
- OpenAIRE
- Journal :
- Structural Health Monitoring
- Accession number :
- edsair.doi.dedup.....012536bd584d9ff206806e734a5682d6
- Full Text :
- https://doi.org/10.1177/1475921719856833