Rapid Position-Based Simulation of Landslide Dynamics Within Digital Twin Environment

Landslides are destructive geological disasters and mitigating the associated risk has long remained a prominent issue within civilization. In the digital era, the digital twin technology has demonstrated its potential to reduce risk with its characteristics of real scene restoration, timely disaster analysis and information sharing as well as coordinated decision-making. However, one of the dilemmas hindering the use of digital twins in landslide risk management is the prompt and realistic landslide dynamics simulation for real-time interaction in the context of digital twins. Traditional force-based approaches can reasonably reproduce landslide movement, but these methods come with a significant computational burden. To address this challenge, this study leverages a position-based model to simulate landslide dynamics to ensure the simulation efficiency and realism. This method directly manipulates in terms of the particle positions and applies a density constraint to regulate the movement behaviour. Such processing can not only ensure simulation accuracy but also satisfy the requirement for timely interaction. The developed method is validated using a historical landslide case, demonstrating its ability to reasonably replicate the landslide movement at a satisfactory frame per second, thereby enabling real-time interaction.

Keywords: Landslide, Digital twin, Landslide dynamics, Rapid simulation, Landslide risk.