Simulating Complex Natural Disasters: A Breakthrough in Understanding and Prediction

Sunday 02 March 2025


Scientists have made a significant breakthrough in understanding and simulating complex natural disasters, such as landslides and tsunamis. By combining two powerful methods – the particle finite element method (PFEM) and discrete element method (DEM) – researchers have been able to accurately model and predict the behavior of these devastating events.


The PFEM is a mathematical technique used to simulate free-surface flows, such as water waves or landslides, by dividing the flow into small particles that can be tracked individually. DEM, on the other hand, is a method used to study the behavior of granular materials, like sand or rocks, by simulating the interactions between individual grains.


By combining these two methods, researchers have created a powerful tool for understanding and predicting complex natural disasters. The new approach allows them to simulate the movement of large amounts of material, such as rock or soil, as it flows down a slope or into water. This can help scientists better understand the mechanics of landslides and tsunamis, which are often devastating and deadly.


One of the key challenges in simulating these events is the need to accurately model the behavior of complex systems, including the interactions between different materials and the movement of large amounts of material. The PFEM-DEM approach provides a powerful tool for tackling this challenge, as it allows researchers to simulate the behavior of individual particles or grains while also considering the larger-scale dynamics of the system.


The new approach has already been tested on several complex systems, including the famous Lituya Bay landslide and tsunami in Alaska. This event, which occurred in 1958, was one of the most significant landslides ever recorded, and it caused widespread damage and loss of life. By using the PFEM-DEM approach to simulate this event, researchers were able to accurately predict the behavior of the landslide and tsunami, including the height of the resulting wave.


The potential applications of this new approach are vast. It could be used to improve our understanding of complex natural disasters, such as earthquakes and hurricanes, which often have devastating effects on communities around the world. It could also be used to develop more effective warning systems for these events, which would allow people to take action to protect themselves before they occur.


In addition to its potential applications in disaster research, the PFEM-DEM approach has the potential to revolutionize our understanding of complex physical systems in general.


Cite this article: “Simulating Complex Natural Disasters: A Breakthrough in Understanding and Prediction”, The Science Archive, 2025.


Natural Disasters, Landslides, Tsunamis, Particle Finite Element Method, Discrete Element Method, Simulation, Complex Systems, Granular Materials, Free-Surface Flows, Disaster Research


Reference: Thomas Leyssens, Michel Henry, Jonathan Lambrechts, Vincent Legat, Jean-François Remacle, “A Coupled PFEM-DEM Model for Fluid-Granular Flows with Free-Surface Dynamics Applied to Landslides” (2025).


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