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Prediction of the Released Mechanical Energy of Loaded Lap Shear Joints by Acoustic Emission Measurements

Research output: Contribution to journalArticlepeer-review

Abstract

In lightweight design, the usage of different optimised materials is widespread. The interfaces between two different materials are prone to damage and, therefore, the Structural Health Monitoring (SHM) of these areas is of interest. A new method for the damage evaluation of joints is developed and validated. The released mechanical energy (RME) during static loading of a metal–composite lap shear joint is considered as a damage assessment parameter and is set into relation to the detected Acoustic Emission (AE) energy. Eleven specimens with identical geometry but different surface treatments are used to form a statistical database for the method, i.e. to calculate the energy ratio and the fluctuation range, and the twelfth specimen is used for the validation of the method. The energy ratio varies significantly, but, considering the fluctuation analysis, the RME with a known range can be predicted on the basis of the AE signal. The whole process is repeated twelve times to validate the methodology. This method can be applied to different geometries and load cases without sophisticated modelling of the damage behaviour. However, load–displacement curves of the pristine joint need to be known, and the monitored joints need to be damage-tolerant and must show similar damage behaviour.
Original languageEnglish
Article number7230
Number of pages17
JournalSensors
Volume24
Issue number22
DOIs
Publication statusPublished - Nov 2024

Fields of science

  • 203 Mechanical Engineering
  • 203003 Fracture mechanics
  • 203007 Strength of materials
  • 203012 Aerospace engineering
  • 203015 Mechatronics
  • 203022 Technical mechanics
  • 203034 Continuum mechanics
  • 205016 Materials testing
  • 201117 Lightweight design
  • 203002 Endurance strength
  • 203004 Automotive technology
  • 203011 Lightweight design
  • 205015 Composites
  • 211905 Bionics

JKU Focus areas

  • Sustainable Development: Responsible Technologies and Management

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