Organizers:
- Angkur Jyoti Dipanka Shaikeea, University of Cambridge
- Vatsa Gandhi, University of California Los Angeles
Description:
Advances in experimental mechanics have redefined the way we study, understand, and solve complex multidisciplinary problems. Cutting-edge experimental methods, coupled with novel technologies, have enabled precise characterization and improved predictive modelling of materials and structures. As a result of these evolving technologies, innovations in diagnostics, testing setups, and data analysis tools continue to drive novel experimental techniques, playing a key role in tackling modern challenges, from quasi-static deformation to high strain-rate dynamics.
This symposium will focus on the latest developments in experimental mechanics, highlighting advancements in methods, techniques, and applications. It will provide a platform for discussing experimental methodologies, theoretical insights, and computational integration. Topics of interest include, but are not limited to:
- Quasi-static techniques, including advances in digital image correlation (DIC) and digital volume correlation (DVC) for strain and deformation analysis
- Techniques for studying high strain-rate behavior and impact loading (e.g., Split Hopkinson Pressure Bar, plate impact experiments, laser shock, and drop tower)
- In-situ experiments using synchrotrons, high-energy X-ray and neutron imaging, XRD, EDXRD, DCT, and the translation of these methods to laboratory-scale setups
- High-throughput experimental techniques to support machine learning applications, with a focus on automation, data generation, and integration with predictive modelling
- Innovative diagnostics and sensing systems for real-time data acquisition and enhanced measurement accuracy
- Leveraging ML and AI tools for analyzing experimental data, addressing noise, and improving model reliability
- Interdisciplinary approaches combining experimental mechanics with AI, physics, and chemistry to expand the understanding of complex material systems
Knowledge and exposure of experimental techniques within a specific subfield may have strong implications in an alternate field but there may be a lack of translation. This symposium aims to bridge that gap and bring together researchers and practitioners from multi-disciplinary fields such as nano-/micro-mechanics, manufacturing, materials science, biomechanics, and more. The aim is to foster collaboration and share insights into the rapidly evolving landscape of experimental mechanics. Participants will have the opportunity to explore the latest techniques and tools driving advances in the field while participating in discussions on how these innovations are shaping the future of material and structural characterization.
Topics of interest:
- Experimental Mechanics,
- Measurement error and noise,
- X-ray measurements,
- Diagnostic tools,
- Full field measurements,
- High throughput experiments,
- DIC,
- DVC,
- Machine Learning in Experimental Mechanics