复杂地形泥石流快速数值模拟方法及设备
By combining cellular automata models and particle swarm optimization with weighted K-means clustering, a method is developed to quickly generate debris flow paths and calculate flow depth distributions. This solves the problems of speed and accuracy in debris flow simulation under complex terrain and is suitable for engineering assessment and emergency decision-making.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CENT SOUTH UNIV
- Filing Date
- 2026-05-18
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies are insufficient for quickly and accurately simulating the flow path, reach, and deposition depth of debris flows in complex terrains. Furthermore, high-precision numerical methods consume significant computational resources, making it difficult to meet the needs of rapid simulation and multi-scenario assessment.
A lightweight numerical simulation method based on cellular automata model is adopted. Representative paths are extracted through particle swarm optimization and weighted K-means clustering. The spatiotemporal distribution of flow depth and velocity is calculated by combining the one-dimensional Saint-Venant equation and mapped back to a two-dimensional terrain grid to achieve rapid generation of the two-dimensional spatiotemporal distribution of debris flow flow depth.
It enables rapid and accurate debris flow simulation in complex terrain, reduces computational resource consumption, and is suitable for rapid engineering assessment and emergency decision-making.
Smart Images
Figure CN122197661B_ABST