Abstract
Structural Health Control (SHC) is a holistic and comprehensive process that integrates structural analysis, structural health monitoring (SHM), damage assessment, damage prognosis and condition based maintenance (CBM). Main idea of this concept is to use the information of a structural analysis to identify structural parameters as damage indicators. By means of the structural parameters the sensor layout of the
SHM system is designed and optimized, which is called Smart SHM. By means of numerical simulations the effect of damages on the post-buckling behavior of a thin plate under compressive loading and its failure modes is analyzed. Appropriate structural parameters are identified to display the post-buckling behavior and the damage effects. These structural parameters are monitored with strain gauges to diagnose damage. The corresponding sensor layout is designed and optimized to measure the structural parameters in a robust and reliable way. This procedure
constitutes the Smart SHM system. The subsequent evaluation of the structural parameters, which are monitored during service, diagnoses the damage. The functionality of the Smart SHM system in the context of the SHC concept is verified in tests of a thin aluminum plate.
Original language | English |
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Title of host publication | Structural Health Monitoring 2013 - A Roadmap to Intelligent Structures |
Editors | Fu-Kuo Chang |
Place of Publication | Lancaster, Pennsylvania, USA |
Publisher | DEStech Publications, Inc. |
Pages | 1137-1143 |
Number of pages | 7 |
Volume | 2 |
ISBN (Print) | 978-1-60595-115-7 |
Publication status | Published - Sept 2013 |
Fields of science
- 203022 Technical mechanics
- 203004 Automotive technology
- 201117 Lightweight design
- 203 Mechanical Engineering
- 203011 Lightweight design
- 203013 Mechanical engineering
- 205016 Materials testing
- 203015 Mechatronics
- 203003 Fracture mechanics
- 201104 Structural analysis
- 201110 Strength of materials
- 201124 Structural design
- 205011 Polymer engineering
JKU Focus areas
- Mechatronics and Information Processing
- Engineering and Natural Sciences (in general)