期刊
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
卷 21, 期 3, 页码 1110-1122出版社
SAGE PUBLICATIONS LTD
DOI: 10.1177/14759217211023930
关键词
Carbon fibre-reinforced polymers; structural health monitoring; ultrasound tomography; nanocomposite sensor
资金
- National Natural Science Foundation of China [51875492, 51635008]
- Hong Kong Research Grants Council [15202820, 15204419, 15212417]
This study integrates nanocomposite technology into the development of a piezoresistive sensor network, achieving accurate imaging and continuous monitoring of CFRP laminates using an enhanced UT method with a revised reconstruction algorithm.
Irrespective of the popularity and demonstrated effectiveness of ultrasound tomography (UT) for damage evaluation, reconstruction of a precise tomographic image can only be guaranteed when a dense transducer network is used. However, a network using transducers such as piezoelectric wafers integrated with the structure under inspection unavoidably lowers local material strength and consequently degrades structural integrity. With this motivation, an implantable, nanocomposite-inspired, piezoresistive sensor network is developed for implementing in situ UT-based structural health monitoring of carbon fibre-reinforced polymer (CFRP) laminates. Individual sensors in the network are formulated with graphene nanosheets and polyvinylpyrrolidone, fabricated using a spray deposition process and circuited via highly conductive carbon nanotube fibres as wires, to form a dense sensor network. Sensors faithfully respond to ultrasound signals of megahertz. With ignorable intrusion to the host composites, the implanted sensor network, in conjunction with a UT approach that is enhanced by a revamped reconstruction algorithm for the probabilistic inspection of damage-based imaging algorithm, has proven capability of accurately imaging anomaly in CFRP laminates and continuously monitoring structural health status, while not at the cost of sacrificing the composites' original integrity.
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