Investigation and application of innovative non-destructive measurement techniques to facilitate extending the life of existing structures and infrastructures.
Conserving and extending the life of existing buildings and structures helps contribute to a sustainable development solution. The continued use of such structures minimises their environmental impact as the energy resources and materials (as would be required for a new-build replacement structure) are not required.
Structural health monitoring (SHM) refers to the characterisation of the structural behaviour of a structure, to provide a continuous diagnosis of the health of the structure. Innovative smart sensing technologies and predictive modelling, enhance SHM providing real-time data acquisition and data analytics.
The objective of the proposed project is the development of a smart, innovative, non-destructive and non-invasive SHM system, comprising wireless sensor networks and communications with edge computing and machine learning, to provide real-time analysis and information on the health of the structure under test.
Such continuous monitoring of the structural integrity of structures throughout their life span, provides a means to identify any potential weaknesses or issues in advance of structural damage and failure occurring and to carry out any necessary maintenance works. This monitoring and predictive maintenance will facilitate expanding the lifetime of the structure for future generations.
Lead RPO: UCC
Lead PI: Michael O’Shea
Industry Partners: Infrastruct
Collaborators
Principal Investigator
Dr. Michael O’Shea
University College Cork
Lecturer in Structural Engineering at University College Cork, Director of Structural & Hydro-Environmental Dynamics Group (www.ucc.ie/en/shed)
Chartered Engineer with research interests in Offshore Renewables, Coastal Engineering, BIM and Structural Health Monitoring.
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