We are pleased to invite you to attend two online webinars by Dr. J. Carlos Santamarina (Professor @ King Abdullah University of Science and Technology (KAUST)) that is scheduled to take place on October 18 (Monday) from 12 pm to 1 pm.

WEBINAR LINK:

https://uwaterloo.webex.com/uwaterloo/j.php?MTID=m0c77b8e1793f3a0ccc39fc567a775f41

BIO:

Dr. J. Carlos Santamarina (Professor - KAUST) graduated from Universidad Nacional de Córdoba and completed graduate studies at the Universities of Maryland and Purdue. He taught at NYU-Polytechnic, the University of Waterloo and at Georgia Tech before joining KAUST in 2015. His research centers on the science of geomaterials and engineering solutions to address global energy challenges, with contributions from resource recovery to energy and waste geostorage. He delivered the 50th Terzaghi Lecture on Energy Geotechnology, was a British Geotechnical Association Touring Lecturer, and is member of both Argentinean National Academies. Former team members are professors at more than forty universities, researchers at national laboratories, or practicing engineers at leading organizations worldwide.

Title: Natural and Engineered Geosystems Subjected to Repetitive Multi-physics Loads

Most geosystems experience repetitive loading cycles of all kinds, including: stress (foundations), pore water pressure (tidal, pumped hydro), suction (natural dry-wet cycles, WAG), pore fluid chemistry (salt-water intrusion), and thermal cycles (exposed rock faces, freeze-thaw, and thermo-active piles). Repetitive loads can cause significant accumulations of volumetric strain (towards the terminal void ratio) and plastic shear strains (shakedown or ratcheting), lead to accelerated transport (heat, chemicals, minerals), and alter material properties. Controlled particle-scale and pore-scale experiments and simulations provide unique insights into the underlying mechanisms that explain the observed macro-scale responses. The analysis and design of geosystems need to consider the influence of repetitive loads on long-term performance, serviceability, and safety. Asymptotic trends lead to convenient first-order estimates for simple boundary conditions. However, complex boundary conditions require numerical simulations, the development of new constitutive models and the implementation of hybrid algorithms that avoid standard time-stepping protocols