{"id":242249,"date":"2023-09-30T00:00:00","date_gmt":"2023-09-29T22:00:00","guid":{"rendered":"https:\/\/cimne.com\/sin-categoria\/severo-ochoa-coffee-talk-for-a-deeper-insight-into-the-mechanics-of-sandstone-a-particle-scale-study-based-on-the-discrete-element-method-dem-by-chengshun-shang\/"},"modified":"2023-09-30T00:00:00","modified_gmt":"2023-09-29T22:00:00","slug":"severo-ochoa-coffee-talk-for-a-deeper-insight-into-the-mechanics-of-sandstone-a-particle-scale-study-based-on-the-discrete-element-method-dem-by-chengshun-shang","status":"publish","type":"post","link":"https:\/\/cimne.com\/ca\/severo-ochoa-coffee-talk-for-a-deeper-insight-into-the-mechanics-of-sandstone-a-particle-scale-study-based-on-the-discrete-element-method-dem-by-chengshun-shang\/","title":{"rendered":"Severo Ochoa Coffee Talk – “For a deeper insight into the mechanics of sandstone: A particle-scale study based on the Discrete Element Method (DEM)”, by Chengshun Shang"},"content":{"rendered":"

Wednesday, November 8th, 2023. Time: 15h<\/p>\n

Hybrid! <\/strong>O.C. Zienkiewicz Room, C1 Building, UPC Campus Nord, Barcelona | Link for the online session<\/a><\/strong><\/p>\n

ABSTRACT<\/h5>\n

Sandstone, found extensively on Earth, bears a significant connection to the oil and gas industries. A comprehensive understanding and accurate simulation of sandstone behavior holds paramount importance in enhancing industrial production efficiency and preventing underground disasters. This talk will delve into a particle-scale investigation of sandstone using the Discrete Element Method (DEM) to provide deeper insights into its mechanical properties.<\/p>\n

\"Numerical<\/p>\n

A numerical framework based on the open-source software Kratos Multiphysics DEMApplication was designed. This framework includes a particle packing generator, DEM contact models, and an automated parameter calibration tool, enabling the comparison of different bonded particle models.<\/p>\n

Specifically, a particle packing generator was established for accurately generating a DEM packing, and a conical contact model for particle-particle interaction was used for capturing the changes of rock Young's modulus under different confining pressures. Additionally, a hybrid GA-XGBoost (Genetic Algorithm – eXtreme Gradient Boosting) algorithm was developed for automated DEM parameter calibration. This established numerical framework can facilitate a comprehensive exploration of sandstone mechanics through sample-scale simulations and find practical applications in engineering challenges such as hydraulic fracture processes.<\/p>\n

SPEAKER CV<\/h5>\n

\"Chengshung\"Chengshun Shang holds a Bachelor's degree in Mining Engineering from Shandong University of Science and Technology (China), awarded in 2018. He later earned his Master's degree in Geotechnical Engineering from Shandong University (China) in 2021. Since 2021, Chengshun has been pursuing his Ph.D. as a candidate at CIMNE, where he actively contributes as a developer to the open-source software Kratos Multiphysics (DEMApplication).<\/p>\n

Over the past five years, Chengshun has dedicated his research efforts to the Discrete Element Method (DEM) and its coupling techniques, including DEM-CFD and DEM-FEM. His research primarily revolves around studying rock mechanical behavior and the evolution of geotechnical engineering disasters. His Ph.D. research focuses on establishing a numerical framework based on the Discrete Element Method for modeling the mechanics of both weak and strong sandstone.<\/p>\n

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