| March 11, 2024 | |
| • | Thank you for attending the IAS Symposium on Computational Geomechanics! The group photo is available for download here. More photos can be found on IAS website here. We look forward to seeing you at HKUST IAS again in the future! |
| March 2, 2024 | |
| • | The symposium schedule is further revised due to some unforeseen circumstances. Please check for the latest version in the “Schedule” section. |
| February 26, 2024 | |
| • | Online registration is closed. An email has been sent to all registrants on February 26, 2024, informing them of their acceptance or rejection. If you have registered for the event but have not received any communication from us, please reach out to the secretary at ias2024cgm@ust.hk. |
| • | Walk-ins are welcome but admission will be subject to the availability of seats at the venue. |
| February 23, 2024 | |
| • | The symposium schedule is now available in the “Schedule” section. |
| January 24, 2024 | |
| • | Registration is now open until February 23, 2024. For details, please refer to the "Registration" section. |
Computer methods have become increasingly indispensable and powerful in addressing various challenges and creating new opportunities within geotechnical engineering. This symposium aims to bring together international and local leading scientists and scholars working on computational geomechanics for in-depth discussions, with the goal of advancing the frontier of computational geomechanics to address emerging challenges related to climate change and energy crises. Through this conference, we strive to generate far-reaching scientific ideas and perspectives that will shape the future of computational geomechanics and numerical modeling in geotechnics.
The conference will cover, but is not limited to, the following specific topics: (1) state-of-the-art computational methods in meso-scale and/or multi-scale modeling of saturated or unsaturated soils, based on discrete, continuum, or coupling methods; (2) emerging multi-scale modeling techniques developed to derive insights from meso- and multi-scale modeling, which will help in developing physically-based, rigorous continuum theories for granular media and address contingent engineering challenges, including large deformation, crushing, and multi-physics coupling; (3) recent advancements in discrete or coupled discrete-continuum modeling of granular media, including XFEM, mesh-free, MPM, SPH, Peridynamics, and others; (4) innovative multiscale experimental tools and technologies (including sensing technologies) for observing and characterizing the multiscale behaviors of granular soils; and (5) paradigm-shifting physics-based/informed machine learning simulations and modeling methodologies that integrate big data generated by experiments and computations with machine learning techniques for cross-scale understanding of granular soils.
Group Photo
Organizers and the participants gather for a group photo. More photos can be found here.
