Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Model-assisted probability of detection for ultrasonic structural health monitoring
Ultrasonic interrogation of metal alloys has been demonstrated to be effective for monitoring fatigue-induced damage in structural health monitoring (SHM) frameworks. However, traditional probability of detection (POD) approaches as used for nondestructive evaluation (NDE) are not directly applicable given the fixed nature of the ultrasonic probe(s). One difference is that there is a lack of variation in SHM sensor response due to human factors. Thus, the primary source of variability is related to the crack geometry itself. Another difference is that experimental derivations of POD curves for SHM are exceptionally burdensome. Since the probes are fixed, repeated 'inspections' with the same probes and defect provide no additional information. Thus, given a particular ultrasonic SHM method, a model-driven methodology for POD may be necessary. This paper discusses the differences between SHM and NDE and the relationship to POD interpretation. Also, an SHM case study is presented for the development of POD curves using a model-assisted formulation. Variations associated with the structure state, such as the fatigue process, environmental effects and electronic noise, are approximated from experimental observations for inclusion in POD curve creation. The specific application analyzed is monitoring of fatigue cracks near fastener holes with an energy-based feature of through-transmission ultrasonic waveforms.
Model-assisted probability of detection for ultrasonic structural health monitoring
Ultrasonic interrogation of metal alloys has been demonstrated to be effective for monitoring fatigue-induced damage in structural health monitoring (SHM) frameworks. However, traditional probability of detection (POD) approaches as used for nondestructive evaluation (NDE) are not directly applicable given the fixed nature of the ultrasonic probe(s). One difference is that there is a lack of variation in SHM sensor response due to human factors. Thus, the primary source of variability is related to the crack geometry itself. Another difference is that experimental derivations of POD curves for SHM are exceptionally burdensome. Since the probes are fixed, repeated 'inspections' with the same probes and defect provide no additional information. Thus, given a particular ultrasonic SHM method, a model-driven methodology for POD may be necessary. This paper discusses the differences between SHM and NDE and the relationship to POD interpretation. Also, an SHM case study is presented for the development of POD curves using a model-assisted formulation. Variations associated with the structure state, such as the fatigue process, environmental effects and electronic noise, are approximated from experimental observations for inclusion in POD curve creation. The specific application analyzed is monitoring of fatigue cracks near fastener holes with an energy-based feature of through-transmission ultrasonic waveforms.
Model-assisted probability of detection for ultrasonic structural health monitoring
Modell unterstützte Nachweiswahrscheinlichkeit bei der Bauwerksüberwachung mit Ultraschall
Cobb, Adam C. (Autor:in) / Fisher, Jay (Autor:in) / Michaels, Jennifer E. (Autor:in)
2009
8 Seiten, 7 Bilder, 8 Quellen
Aufsatz (Konferenz)
Datenträger
Englisch
Damage Detection for Structural Health Monitoring Using Ultrasonic Guided Waves
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Probability of Detection Considerations for a Lamb Wave Structural Health Monitoring Sensor
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Ultrasonic/Guided Waves for Structural Health Monitoring
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Ultrasonic Guided Waves in Structural Health Monitoring
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Nonlinear Ultrasonic Waves for Structural Health Monitoring
| British Library Conference Proceedings | 2014