Engineers and managers from a range of consultancies and a number of contractors attended CSIC’s Introduction to Distributed Optical Fibre Strain Sensing for Geotechnical Infrastructure Monitoring one-day course. The course offered delegates the chance to benefit from CSIC’s specialist training and development programme tailored for industry.
The one-day course provided an overview of fibre optic strain sensing capabilities and the opportunities it can offer to monitor geotechnical infrastructure.
Dr Cedric Kechavarzi, CSIC Training and Knowledge Transfer Manager, said: “CSIC is the only UK provider of expert knowledge on distributed fibre optic strain sensing implementation for monitoring civil infrastructure. The technology is rapidly gaining momentum globally and CSIC’s courses provide a unique opportunity for the UK industry to learn more about Fibre Optic sensing and maintain its competitive advantage.”
Smart monitoring for performance-based design is increasingly being recognised as an essential tool for improving construction processes, delivering efficiency and reducing over specification. The high level of maintenance required to preserve the country’s ageing infrastructure and run it at full capacity has created a demand for structural health monitoring or performance-based maintenance. Distributed Optical Fibre Sensing provides an innovative, economic and effective solution to performance monitoring.
CSIC’s Introduction to Distributed Optical Fibre Strain Sensing for Geotechnical Infrastructure Monitoring was delivered by leading CSIC academics including Professor Robert Mair CBE, FREng, FRS, Head of Civil and Environmental Engineering; Professor Kenichi Soga FREng, FICE, Professor of Civil Engineering; Dr Mohammed Elshafie, Lecturer, Laing O’Rourke Centre for Construction Engineering and Technology and Dr Cedric Kechavarzi FHEA Training & Knowledge Transfer Manager, CSIC.
For more information about CSIC training courses contact: Dr Cedric Kechavarzi FHEA Training & Knowledge Transfer Manager, CSIC ck209@cam.ac.uk