Structural Health Monitoring is the use of permanently installed sensors to assess the integrity of a structure or system. The data from SHM systems may be integrated into ‘smart’ structural integrity diagnostics and prognostics through the Digital Twin concept. SHM research at the Cincinnati Centre for Non-Destructive Evaluation covers all aspects of SHM, from developing the fundamental design principles of SHM systems through to the structural integrity assessment.
Potential Drop Creep Monitoring of Power Station Components
Creep is the dominant life-limiting mechanism of high-pressure, high-temperature power station components. The Center has developed a permanently installable potential drop monitoring system suitable for monitoring power station components. The lab-based measurement system is commercialized through Material Monitoring Systems and the power station system is being trialed in UK power stations.
J. Corcoran, C. M. Davies, P. Cawley, and P. B. Nagy, IEEE Trans. Instrum. Meas. 69, 1313-1326, 2020
J. Corcoran, PB Nagy, and P Cawley, Int. J. Press. Vess. Piping. 153, 15-25, 2017
J Corcoran, P Hooper, C Davies, PB Nagy, and P Cawley, Int. J. Mech. Sci. 110, 190-200, 2016
Permanently Installable Guided Wave Tomography
Accurate thickness mapping of large engineering structures is critical to assess the integrity and residual life of mechanical components subject to erosion or corrosion damage. However, in many industrial settings, it is not possible to access the region of interest directly, e.g. because of remote location or due to the presence of physical obstacles. Guided ultrasonic waves offer a promising approach to remote wall thickness loss estimation thanks to their ability to propagate over a long distance along a structure. Our research focuses on the development of a highly sensitive guided wave tomography system based on an innovative array technology and advanced inversion schemes. This technology is now being commercialized through Cincinnati NDE, Ltd. a start-up company from UC.
Guided ultrasonic wave tomography of a pipe bend exposed to environmental conditions: A long-term monitoring experiment
F Simonetti and MY Alqaradawi, NDT & E International 105, 1-10, 2019
AJ Brath, F Simonetti, PB Nagy, and G Instanes, IEEE Trans. Ultras. Ferr. Freq. Contr. 64, 847-858, 2017
A digital twin is a digital representation of a real engineering asset. The digital twin is updated to reflect the state of the real asset. For structural integrity purposes. Research into digital twins at the Cincinnati Research Center in NDE focusses on two main areas: probabilistic structural integrity assessments and NDE data integration. Structural integrity assessments must be probabilistic to acknowledge the inherent uncertainty and stochastic nature of damage progression. We must then use operational data and NDE/SHM to validate and refine those structural integrity predictions, honing into highly accurate assessments. The Center researches state-of-the-art probabilistic structural integrity assessments and develops methods to integrate NDE/SHM data to provide real-time, uncertainty-quantified, diagnosis and prognosis.
J Corcoran, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol: 473, 2017
Electromagnetic Characterization of Material Aging in Power Stations
The mechanical properties of power station materials will degrade with long term thermal and/or irradiation exposure. The Center has been developing a suite of electromagnetic methods that have proven sensitivity to material aging phenomena. The techniques, including thermoelectric, electrical conductivity and magnetic permeability are all suitable for permanent installation and can be combined into a simple and robust permanently installable sensor for real-time degradation monitoring.
Passive thermoelectric power monitoring for material characterization
J Corcoran and PB Nagy, Structural Health Monitoring. 18, 1915–1927 (2019)
Improved thermoelectric power measurements using a four-point technique
J Corcoran, S Raja, and PB Nagy, NDT&E Int. 94, 92-100 (2018).