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2023 | OriginalPaper | Buchkapitel

SHM/NDE Research at the Laboratory of Active Materials and Smart Structures

verfasst von : Victor Giurgiutiu

Erschienen in: European Workshop on Structural Health Monitoring

Verlag: Springer International Publishing

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Abstract

This paper reviews recent structural health monitoring (SHM) and nondestructive evaluation (NDE) research at the Laboratory for Active Materials and Smart Structures (LAMSS) of the University of South Carolina, USA. A common theme throughout our research efforts is the judicious combination of theoretical exploration, numerical simulation, and experimental measurements. Both passive and active SHM methods have been pursued.
The active SHM research has focused on detecting various types of composite damage using guided-wave interrogation and sensing. The composite damage considered covered both seeded delaminations and barely visible impact damage (BVID).
The passive SHM research was focused on recording acoustic emission (AE) wave signals created during fatigue loading of aerospace-grade sheet-metal coupons. The AE signals were analyzed for finding specific signatures associated with fatigue crack growth. It was found that not all AE signals were associated with fatigue crack growth, some resulting from the interaction of the faying surfaces.
The NDE research was focused on developing novel methods for damage detection with particular focus on composite materials. Remarkable results were obtained in using angle beam transducers (ABT) to selectively excite either quasi-S0 or quasi-SH0 guided waves in composite materials. Eddy current methods were used to detect composites flaws and damage.

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Literatur
1.
Zurück zum Zitat Giurgiutiu, V.: Structural Health Monitoring with Piezoelectric Wafer Active Sensors, 2nd edn, Elsevier Academic Press, p. 1032 (2014). ISBN 9780124186910 Giurgiutiu, V.: Structural Health Monitoring with Piezoelectric Wafer Active Sensors, 2nd edn, Elsevier Academic Press, p. 1032 (2014). ISBN 9780124186910
2.
Zurück zum Zitat Giurgiutiu, V.: Predictive simulation of guided wave structural health monitoring in metallic and composite structures. In: 9th European Workshop on Structural Health Monitoring EWSHM 10–13 July 2018, Manchester, UK, paper 0011 (2018) Giurgiutiu, V.: Predictive simulation of guided wave structural health monitoring in metallic and composite structures. In: 9th European Workshop on Structural Health Monitoring EWSHM 10–13 July 2018, Manchester, UK, paper 0011 (2018)
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Zurück zum Zitat Behrens, B.-A., Hubner, S., Wolki, K.: Acoustic emission – a promising and challenging technique for process monitoring in sheet metal forming. J. Manuf. Process. 29, 281–288 (2017)CrossRef Behrens, B.-A., Hubner, S., Wolki, K.: Acoustic emission – a promising and challenging technique for process monitoring in sheet metal forming. J. Manuf. Process. 29, 281–288 (2017)CrossRef
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Zurück zum Zitat Giurgiutiu, V., Bao, J.J., Poddar, B., Bhuiyan, Md.Y.: Identifying structural defect geometric features from acoustic emission waveforms (2020). US patent # 10,801,998 B2, 13 Oct 2020 Giurgiutiu, V., Bao, J.J., Poddar, B., Bhuiyan, Md.Y.: Identifying structural defect geometric features from acoustic emission waveforms (2020). US patent # 10,801,998 B2, 13 Oct 2020
8.
Zurück zum Zitat Giurgiutiu, V., Mei, H., Garrett, J., Cardillo, K.: AI method-apparatus for extracting crack-length from high-frequency AE signals (2021). UofSC-IPMO, Disclosure 01536, May 2021 Giurgiutiu, V., Mei, H., Garrett, J., Cardillo, K.: AI method-apparatus for extracting crack-length from high-frequency AE signals (2021). UofSC-IPMO, Disclosure 01536, May 2021
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Zurück zum Zitat Giurgiutiu, V., James, R., Joseph, R.: Acoustic emission method to ascertain damage occurrence in impacted composites (2019). UofSC-IPMO, Disclosure 01448, Nov 2019 Giurgiutiu, V., James, R., Joseph, R.: Acoustic emission method to ascertain damage occurrence in impacted composites (2019). UofSC-IPMO, Disclosure 01448, Nov 2019
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Zurück zum Zitat Giurgiutiu, V.: Stress, Vibration, and Wave Analysis in Aerospace Composites, Elsevier Academic Press (2022). In press Giurgiutiu, V.: Stress, Vibration, and Wave Analysis in Aerospace Composites, Elsevier Academic Press (2022). In press
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Zurück zum Zitat Giurgiutiu, V., Mei, H., James, R.: Angle-beam guided waves for composite-damage identification and monitoring (2019). UofSC-IPMO, Disclosure 01446, Nov 2019, US Patent Application No. 17/024,906 filed Sept 2020 Giurgiutiu, V., Mei, H., James, R.: Angle-beam guided waves for composite-damage identification and monitoring (2019). UofSC-IPMO, Disclosure 01446, Nov 2019, US Patent Application No. 17/024,906 filed Sept 2020
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Zurück zum Zitat Mei, H., Haider, M.F., James, R., Giurgiutiu, V.: Pure S0 and SH0 detections of various damage types in aerospace composites. Compos. B Eng. 189, 107906 (2020) Mei, H., Haider, M.F., James, R., Giurgiutiu, V.: Pure S0 and SH0 detections of various damage types in aerospace composites. Compos. B Eng. 189, 107906 (2020)
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Zurück zum Zitat Giurgiutiu, V., James, R., Faisal Haider, Md., Lilienthal, D.: Eddy current detection of flaws and damage in CFRP composites (2018). UofSC-IPMO, Disclosure 01369, Sept 2018 Giurgiutiu, V., James, R., Faisal Haider, Md., Lilienthal, D.: Eddy current detection of flaws and damage in CFRP composites (2018). UofSC-IPMO, Disclosure 01369, Sept 2018
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Zurück zum Zitat James, R., Haider, Md.F., Giurgiutiu, V., Lilienthal, D.: A simulative and experimental approach toward eddy current nondestructive evaluation of manufacturing flaws and operational damage in CFRP composites. ASME J. Nondestruct. Eval. Diagn. Progn. Eng. Syst. 3(1), 011002-1–011002-18 (2020) James, R., Haider, Md.F., Giurgiutiu, V., Lilienthal, D.: A simulative and experimental approach toward eddy current nondestructive evaluation of manufacturing flaws and operational damage in CFRP composites. ASME J. Nondestruct. Eval. Diagn. Progn. Eng. Syst. 3(1), 011002-1–011002-18 (2020)
Metadaten
Titel
SHM/NDE Research at the Laboratory of Active Materials and Smart Structures
verfasst von
Victor Giurgiutiu
Copyright-Jahr
2023
DOI
https://doi.org/10.1007/978-3-031-07254-3_42