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Marks, Ryan; Gillam, Clare; Clarke, Alastair; Pullin, Rhys
Languages: English
Types: Unknown
Subjects: TJ
Fossil fuel reserves are ever decreasing whilst the global demand for electrical power is increasing. These trends combined with the need to develop greener and more sustainable power sources has seen an increase in wind power in recent years with now nearly 6000 offshore and on-shore wind turbines in the UK alone. In order to ensure the functionality of the turbine, it is beneficial to monitor the structural health of key components such as the blades in order to detect and monitor any damage. This would enable maintenance operations to be carried out when required reducing the downtime of the turbine, maintenance costs and increasing overall energy production. This is particularly advantageous for offshore turbines where access is difficult.\ud Acousto-ultrasonic induced Lamb waves have been used for detecting damage in composite structures for many years. The principle works by exciting a piezoelectric transducer mounted to the structure’s surface which induces a Lamb wave that is then detected by another transducer mounted at a different location on the structure. If damage occurs within the field between the two sensors, the signal propagation is altered thus resulting in a quantifiable difference in the signal received. This technique has proven to be effective in the detection of impact damage.\ud Laser vibrometery is a useful tool for understanding Lamb wave propagation and their interaction with damage. By understanding and characterizing this interaction with impact damage it is possible to improve damage detection techniques and optimize sensor locations.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • RenewableUK. UK Wind Database. 2014 [cited 2014 4/12/2014]; Available from: http://www.renewableuk.com/en/renewable-energy/wind-energy/uk-wind-energy-database/index.cfm.
    • Jiabiao, R., et al., Wind turbine blade damage detection using an active sensing approach. Smart Materials and Structures, 2014.
    • 23(10): p. 105005.
    • Staszewski, W.J., et al., Structural health monitoring using scanning laser vibrometry: I. Lamb wave sensing. Smart Materials and Structures, 2004. 13(2): p. 251.
    • Banerjee, S., et al., Autonomous impact damage monitoring in a stiffened composite panel. Journal of Intelligent Material Systems and Structures, 2007. 18(6): p. 623-633.
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