Prof Jean-Charles Passieux, INSA Toulouse, France
Generation of analysis suitable B-Spline beam models from digital images
JC Passieux is a full professor of Computational Mechanics at INSA Toulouse, France. He develops high-performance computational methods (domain decomposition, reduced order models, local/global coupling, Isogeometric Analysis). He has contributed to the development of finite element-based and global digital image correlation (DIC) methods, identification from digital images, image-based models and data assimilation. He was co-chairman of the international conference Photomechanics 2018 in Toulouse. He is a member of the steering committee of the Computational Solid Mechanics Association (CSMA, France). He is one of the founding members of the French PhotoMechanics Association.
Dr Fabrice Pierron, Matchid NV, Belgium
Integrating 2D/3D images with numerical simulations for mechanical deformation analysis
Dr Fabrice Pierron has been a Professor of Solid Mechanics at the University of Southampton since 2012. He is a specialist in the integration of image-based deformation mapping (like digital image correlation) with inverse identification (like the Virtual Fields Method) to design the next generation of mechanical tests. He has published more than 150 journal articles. He was Editor-in-Chief of the journal Strain (Wiley) for ten years and is a co-founder of the company MatchID NV (Ghent, Belgium), for which he now also works as R&D Director since 2021. Prof. Pierron is a Fellow of the Society for Experimental Mechanics (SEM).
Special Invited Speaker
Dr Tim J. Barden, Rolls-Royce plc
Sensors and sensing – Getting to the start line for imaged-based simulation
Tim Barden moved to Rolls-Royce having carried out a post-doctorial position at Bath University researching thermal methods for non-destructive evaluation. His role at Rolls-Royce primarily involves the development and introduction of new NDE technologies and is the current Industrial Chair of the Research Centre in Non-Destructive Evaluation.
Image based simulation has potential benefits to many industries. However, as with all simulation, understanding the inputs is essential and for image based simulation they are varied and each application will have its own limitations. Non-destructive evaluation (NDE) utilises a wide scope of technologies, any physical phenomena that gives information about material integrity could be used as a NDE technique. The same can be said for obtaining data for image based simulation. Modalities include the electromagnetic spectrum, such as optical and x-rays, as well as vibrational waves such as ultrasonics. The variation is further increased by the numerous techniques to stimulate a test object, monitor the response and interpret the output.
The presentation will concentrate on the more common NDE techniques used for obtaining image data including radiography, x-ray computed tomography, ultrasonic and visual. Additionally, general topics will be considered including understanding the quality of the data and reducing artefacts.
- Ander Biguri, University Of Cambridge
- Christian Breite, KU Leuven
- Alex Cornell-Thorne, Swansea University
- Koussay Daadouch, Ruhr University Bochum
- Dongze He, The University of Manchester
- Umeir Khan, University Of Bristol
- Rhydian Lewis, Swansea University
- Grammatiki Lioliou, University College London
- Harry Lipscomb & Marti Puig, University of Manchester
- Iwan Mitchell, Bangor University
- Subrata Mondal, University of Bath
- Tessa Nogatz, RPTU Kaiserslautern-Landau
- Fatima Zahra Oujebbour, CNESTEN
- Chris Packer, The University of Edinburgh
- Sylwin Pawlowski, University of Lisbon
- Connie Qian, The University of Warwick
- Dirk Schut, Centrum Wiskunde & Informatica (CWI)
- Elena Syerko, Nantes Université, École Centrale de Nantes
- Benjamin Thorpe, University of York
- Léonard Turpin, Diamond Light Source
- Fatih Uzun, The University Of Oxford
- Franck Vidal, Bangor University
- Walter Villanueva, Bangor University
- Moritz Weiss, Diondo / University of Wuppertal
- Liang Yang, Cranfield University
- Miroslav Yosifov, University Of Applied Sciences Upper Austria
Details on speakers will be announced here nearer to the time of the event.
For details on speakers from previous events please see the past events page.