- Yan Liu, Tsinghua University
- Xiong Zhang
- Zhen Chen
- Dongdong Wang
- Fei Xu
- Cheng Wang
Extreme events, such as natural disasters involving high/hyper-velocity impact, explosion, high-speed machining, manufacturing and surface treatment under high temperature and high pressure, have become the research topics of strong interests in recent years because of their importance in both scientific advancement and engineering applications. Modelling and simulating extreme events are challenging tasks due to complex and nonlinear phenomena involved, such as large deformation, localization, fracture, fragmentation and phase transformation. The multi-scale and multi-physics coupling should be fully considered. New theories and numerical methods, such as meshfree/particle methods, X-FEM, peridynamics, discrete element methods, dissipative particle dynamics, boundary-type methods, isogeometric methods, are needed to evaluate extreme events accurately and efficiently. This minisymposium aims at providing an international forum for academic researchers and industrial engineers in the related fields to discuss recent advances in modelling and simulating extreme events and to promote international collaboration in basic research and education. Those who have been working in the related fields are cordially invited to exchange their ideas and research results in this minisymposium. Presentations are solicited in all related subjects, which include but are not limited to the followings:
1) Development or improvement of advanced numerical methods for extreme events
2) Multi-scale discretization methods and multi-scale modelling schemes
3) Numerical methods for multi-physics processes
4) Coupled Lagrangian-Eulerian schemes for the problems with moving boundaries
5) Inverse solutions and optimization methods for extreme events
6) Machine learning and integrated data-driven and physics-based approaches
7) Efficient and accurate impact-contact algorithms
8) Parallel algorithms and large-scale computation
9) Simulation-based disaster prediction and mitigation
10) Numerical algorithm implementation and simulation software development
11) Verification and validation
12) Other related subjects in simulation-based engineering science