Geomaterials, such as soils and rocks, play a critical role in natural disasters like landslides, which pose significant risks to infrastructure and human safety. Modeling their complex behavior and interactions with structures is essential for effective mitigation strategies. Smoothed Particle Hydrodynamics (SPH), a Lagrangian particle-based method, has emerged as a promising tool for geomechanical modeling. Its mesh-free nature makes it well-suited for simulating large deformations while maintaining computational efficiency, offering advantages over traditional mesh-based methods.
In this talk, I present my advancements in SPH algorithms and their application to geotechnical engineering. Key topics include resolving numerical instabilities in SPH modeling of elastic and elastoplastic materials, simulating large deformations of granular materials, and developing a fine-grain and coarse-grain coupling SPH algorithm for granular mixtures. These improvements enhance SPH’s stability and accuracy, providing new solutions for disaster mitigation and geotechnical engineering challenges.
Mr Shuaihao Zhang is currently a fourth-year Ph.D. candidate in the Department of Civil Engineering at the University of Hong Kong, supervised by Professor Sérgio D.N. Lourenço. He previously obtained his B.Eng. and M.Eng. degrees from Central South University. During his Ph.D. studies, he spent one year as a visiting researcher at the School of Engineering and Design, Technical University of Munich, under the supervision of PD Dr Xiangyu Hu. His research focuses on improving the stability and accuracy of Smoothed Particle Hydrodynamics (SPH) algorithms and applying them to simulate large deformation problems in geotechnical engineering.
Clean water and clean air are vital for public health. This project focuses on developing high-efficiency and environmentally sustainable filters for removing harmful air/water pollutants. The team has developed novel architectures and functionalities for the filters to achieve high permeance, high removal efficiency, and excellent reusability.
