Abstract
Composite Electrical impedance to evaluate composite damage is receiving growing attention from the research community as an alternative approach to ultrasounds and other non-destructive techniques. It is still in development, but recent years steady technologies advanced have increased understanding and process capability, in fact in literature there are even reports of damage detection using impedance missed by other technologies. Ultrasounds technology is very mature and robust and remain elite technique but when it comes to access recesses and complex geometries further advantages could be achieved if a smaller and relatively simpler monitoring equipment could be available. Objective of this poster is lay preliminary research to evaluate the possibility of simplifying impedance analyses using multiple circularly arranged sensors that can be interrogated with specific sequences and interpreting algorithms.
Original language | English |
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Title of host publication | Structural Health Monitoring 2019, Volume 1 |
Subtitle of host publication | Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring |
Editors | Fu-Kuo Chang, Alfredo Guemes, Fotis Kopsaftopoulos |
Place of Publication | U. S. A. |
Publisher | DEStech Publications Inc. |
Pages | 629-636 |
Number of pages | 8 |
ISBN (Electronic) | 9781605956015 |
Publication status | Published - 1 Jan 2019 |
Event | 12th 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 Sep 2019 → 12 Sep 2019 |
Conference
Conference | 12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019 |
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Country/Territory | USA United States |
City | Stanford |
Period | 10/09/19 → 12/09/19 |
ASJC Scopus subject areas
- Computer Science Applications
- Health Information Management