
TL;DR
This paper introduces a new, physically-based, evolutionary model for the drag coefficient in landslide dynamics, which adapts during motion and better reflects the flow's energy inefficiency.
Contribution
It develops an analytical, velocity-dependent drag coefficient model based on flow physics, addressing limitations of empirical constants in landslide simulations.
Findings
The new drag coefficient adapts during landslide motion.
Simulation results match natural landslide dynamics.
The model links drag to energy inefficiency and flow physics.
Abstract
Drag is one of the most important energy dissipation mechanisms in nature, including landslides and debris flows. To satisfactorily reproduce laboratory or field data in simulating landslides, often empirical relations or convenient numerical values are used for the drag force coefficient. However, this is just a parameter calibration rather than a physical reality. Why should the drag coefficient be a constant for a dynamically evolving landslide? Which drag coefficient represents the physical reality? So, what exactly is the drag remains an open question. As the landslide is a deformable body, the drag-deformation-flow must be interconnected. Empirical drag coefficients lack important dynamical aspects. As the drag coefficient is less likely to be measurable, it must be described with some mechanical models. Yet, there exists no analytical model for the drag coefficient. Here, we…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
