Quantification of Lamb Wave-based SHM technique through Ground Test under simulated flight environment for commercial airplane
This research introduces an advanced Structural Health Monitoring (SHM) methodology for in-service aircraft, with a specific focus on a case study involving 737NG Aft Pressure Bulkhead (APB) coupons. Aimed at achieving FAA first targeted application for FAA certification, the study leverages SMA...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | deu |
| Published: |
NDT.net
2024-07-01
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| Series: | e-Journal of Nondestructive Testing |
| Online Access: | https://www.ndt.net/search/docs.php3?id=30486 |
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| Summary: | This research introduces an advanced Structural Health Monitoring
(SHM) methodology for in-service aircraft, with a specific focus on a case study
involving 737NG Aft Pressure Bulkhead (APB) coupons. Aimed at achieving FAA
first targeted application for FAA certification, the study leverages SMART layer
technology to construct a sensor network, facilitating real-time damage assessment
through Damage Index (DI) analysis for precise crack detection and localization. The
core of our approach involves the utilization of DI values, obtained from the sensor
data, to assess crack progression and pinpoint structural anomalies, highlighting the
capability of SHM systems in enhancing maintenance efficiency and aircraft safety.
Additionally, the Probability of Detection (PoD) analysis incorporated in this study
assesses the SHM system's reliability, ensuring compliance with FAA standards. Our
findings underscore the potential of SMART layer-based SHM systems in
revolutionizing aircraft maintenance protocols by enabling proactive and accurate
structural health assessments, particularly at the 4.5mm threshold. This case study not
only demonstrates the feasibility of SHM in critical aircraft components but also sets
a precedent for the wider application and development of SHM technologies in the
aviation industry, promising to elevate safety standards and operational efficiency.
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| ISSN: | 1435-4934 |