ABSTRACT
Recent studies have clarified that the convergence of conventional smoothed particle hydrodynamics (SPH), one of the most widely used particle methods, is guaranteed only under ideal conditions with a uniform spatial distribution of particles. To address this limitation, we have proposed particle discretization methods, including SPH(2), that guarantee second-order spatial accuracy even for randomly distributed particles.
These advances are opening up new possibilities for particle methods, enabling fluid simulations with adaptive particle distributions as well as large-deformation solid simulations within an updated Lagrangian framework. This seminar will present the latest developments in these methods, with a focus on adaptive fluid simulation and the use of deformable kernels for large-deformation solid analysis.
SPEAKER
Mitsuteru Asai is a Professor at the Asian Disaster Reduction Center, Faculty of Engineering, Kyushu University, where he established the Disaster Informatics Lab in February 2025. He received his master’s degree and Ph.D. in Civil Engineering from Tohoku University in 2000 and 2003, respectively, conducting his research under the supervision of Professor Kenjiro Terada throughout both degree programs. He subsequently worked as a postdoctoral researcher at The Ohio State University and as a research associate at Ritsumeikan University. In October 2007, he joined Kyushu University as an Associate Professor in the Department of Civil and Structural Engineering before assuming his current position.
His research focuses on computational mechanics and particle methods, with applications to fluid flows, large-deformation solid mechanics, and disaster simulation. His honors include the FY2023 Applied Mechanics Paper Award from the Japan Society of Civil Engineers, the 42nd Paper Award from the Society of Powder Technology, Japan, and the 2025 Kawai Medal, the highest award of the Japan Society for Computational Engineering and Science. He will serve as Chair of the IACM Computational Fluids Conference in Yokohama in March 2027.