IUTAM Symposium
on Data Driven Mechanics
March 31 - April 2, 2025 | Clare College Cambridge | UK
Introduction
Mechanics and materials are gradually becoming data-rich due to rapid advances in experimental science and high-performance multiscale computing. There has been a growing interest in the field of solid mechanics for developing data-driven and learning-based methods to characterize, understand, model, and design material/structural systems. With data-driven approaches, it is possible to remove/relax the need for ad hoc constitutive models for describing the material behavior, to achieve fast multi-scale computation for structures as well as to generate optimal designs. However, data generation/collection is still a challenging task, both experimentally and numerically. The nonlinear, path-dependent, stochastic, multi-scale, and multi-physics nature of advanced material/structural systems poses significant challenges on existing data-driven tools and theory. Furthermore, many open questions, such as how to best prescribe known physics to the data-driven framework, how to extract physics/knowledge from the big data, as well as how to achieve system-level material/structural design, remain to be answered.
The aim of this symposium is to provide a platform for scientists to exchange ideas, experiences, knowledge, and data in the rapidly growing field of data-driven mechanics. The major goal is to address the above-mentioned challenges in order to enable robust and reliable data-driven tools in materials development and structural design
Important Dates
2025/03/01 Deadline for registration and abstract submission
2025/03/31 - 04/02 Conference
Committees
Burigede Liu, University of Cambridge, UK
Organizer:
Co-organizer:
Michael Ortiz, California Institute of Technology, US
Scientific Committees
IUTAM Representative£º
Norman Fleck, University of Cambridge, UK
Local organizing committee:
International Union of theoretical and Applied Mechanics (IUTAM)
Cambridge University Engineering Department
