Image-Based Damage Assessment for Underwater Inspections (PDF)

Dr. Michael O'Byrne (B.E., University College Cork Ireland) is a post-doctoral researcher in the School of Engineering at University College Cork, Ireland. His research interests are image based Non-Destructive Testing techniques for monitoring offshore structures. His doctorate investigated Automatic Detection of Damage using Image Based Techniques in Underwater Marine Structures. It involved using the latest research in image processing to detect and quantify damage that affects offshore structures, such as cracks, corrosion and bio-fouling. Currently, Dr. O'Byrne is developing new image processing techniques for infrastructure maintenance management and also looking at how underwater image processing based inspection can help estimating changes in hydrodynamic loads to structures due to bio-fouling.

Dr. Bidisha Ghosh, Assistant Professor, Trinity College Dublin, is an expert of statistical modelling, artificial intelligence techniques and data analysis. She applies these techniques to transportation networks, hydrological networks and infrastructure management. Her work in image processing relates to structural damage detection, infrastructure management, traffic monitoring, crash-barrier design and the development of a benchmark repository for such purposes.

Professor Franck Schoefs, from the University of Nantes, France, is a leading figure in the field of structural reliability and inspection-led maintenance management. He works on probabilistic modelling of inspections results and on site measurements from structural health monitoring. Major applications of his work are in bridge engineering, offshore structures and marine renewable energy. He is an expert of probabilistic modelling of marine growth on offshore structures.

Dr. Vikram Pakrashi is a Chartered Engineer and the director of Dynamical Systems and Risk Laboratory, School of Engineering, University College

Dieses eBook können Sie uneingeschränkt auf allen Geräten der tolino Familie lesen. Zum Lesen auf sonstigen eReadern und am PC benötigen Sie eine Adobe ID.