arXiv subjects

Johan Gaume

Publications and source records attributed to Johan Gaume.

6 recordsLinked to original sources

arXiv2026

Unified sparse framework for large-scale simulations using the material point method

The material point method (MPM) is a hybrid particle-grid method widely used for large deformation problems with history-dependent behavior, including geophysical mass flows. Standard MPM often relies on a dense background grid, which can be highly inefficient when material occupies a small fraction of the computational domain. Such sparsity is common in many large-scale geophysical mass flow problems. Here, we introduce a unified sparse background-grid framework for large-scale MPM simulation. The framework treats sparse grid construction as a general active-node indexing problem. We develop two architecture-specific implementations to realize the same sparse framework: a scan-based strategy for CPUs and a hash-based strategy for GPUs. Through benchmark problems and a large-scale landslide simulation, we show that the framework provides identical results as standard dense MPM while reducing computational time and memory usage by one to two orders of magnitude in strongly sparse cases.

cs.CE↗

arXiv2026

Propagation of weak layer failure in snow slab avalanche release: analytical solutions for a compliant interface with finite softening

Snow slab avalanches are among the most dangerous hazards in mountain regions. Recent numerical, field, and laboratory studies have renewed interest in shear-failure interpretations of avalanche release, particularly in relation to dynamic crack propagation and supershear fracture. Yet most analytical models either idealize the weak layer as perfectly brittle or neglect its pre-peak elasticity, although post-peak dissipation and compliance both control stress redistribution and critical length. Here, we derive an analytical solution for shear-failure propagation beneath an elastic snow slab with finite linear softening. Building on the weak-spot model of Gaume et al. (2013), failure is described by a fully softened residual core, a fracture process zone, and an intact elastic region. The solution recovers the classical brittle length as softening vanishes, distinguishes the residual crack length from the total affected length, and links weak-spot and fracture-energy descriptions through the softening law. Depth-averaged Material Point Method simulations confirm the analytical stress and displacement profiles and the predicted characteristic lengths. We then extend the same compliant-softening framework to collapse-driven anticrack propagation. A simplified Timoshenko anticrack analogue shows that slab bending and transverse shear deformation amplify normal stress at the weak-layer front and introduce a bending-controlled softening length with an approximately fourth-root dependence on softening displacement, supported by three-dimensional MPM simulations. Finally, a mixed-mode Timoshenko formulation couples weak-layer compression, slope-parallel shear, and slab rotation. A compact sharp-front model and a fully coupled finite-softening model reproduce the observed slope-angle dependence of critical cut length using realistic elastic and failure-envelope parameters.

physics.geo-ph↗

arXiv2024

GRFsaw: A lightweight stochastic microstructure generator

This article presents GRFsaw, an open-source software for generating two-phase (binary) microstructures with user-defined structural properties. Unlike most standard software for microstructure generation, GRFsaw is based on the concept of thresholding Gaussian random fields (GRF). It is designed to be used by researchers or engineers in need of a lightweight tool to generate microstructures of various geometries, for example as input to simulations or to other models where such geometries are needed. This could be simulations of fluid flow through porous media, in predictive models of electromagnetic scattering by materials, or in mechanical loading simulations in order to assess, e.g., the material's elasticity or strength.

cs.CE↗

arXiv2024

Modeling crack arrest in snow slab avalanches -- towards estimating avalanche release sizes

Dry-snow slab avalanches are considered to be the most difficult to predict, yet the deadliest avalanche types. The release of snow slab avalanches starts with a initial failure in a weak layer that may propagate across the slope until the slab fractures and slides. The evaluation of crack propagation area is a primary concern for avalanche forecasters. The purpose of this study is to test the hypothesis that the heterogeneity of snowpack properties is one of the primary factors that may potentially stop dynamic crack propagation. To test this assumption, we use a depth-averaged Material Point Method (DA-MPM) for efficient elasto-plastic modeling of snow slab avalanches. Our analysis includes scenarios involving i) pure-elastic slabs and ii) elasto-plastic slabs. In the first scenario, we report a significant decrease in slab tensile stress with increasing crack speed compared to quasi-static theory. In addition, we quantify the effect of weak layer heterogeneity and softening fracture energy on the crack stopping mechanism. In the second scenario, we analyse the interplay between weak layer heterogeneity and slab tensile fracture and quantify their combined effect on crack arrest. Results are interpreted through a scaling law relating the crack arrest distance to two dimensionless numbers related to weak layer strength variability and slab tensile fracture. Furthermore, the proposed model is applied to field campaigns in which spatial variations of weak layer shear strength were measured. Finally, DA-MPM simulations are performed on three-dimensional terrain with spatial variations revealing interesting release patterns. This research and the proposed methods can not only enhance our comprehension of the factors influencing avalanche release sizes,and possibly, the design of new mitigation measures for avalanche start zones.

physics.geo-ph↗

arXiv2023

A theoretical framework for dynamic anticrack and supershear propagation in snow slab avalanches

(Shortened abstract) Snow slab avalanches release after the failure and collapse of a weak layer buried below a cohesive snow slab. This results in the propagation of a subsidence, known as a collapse wave or anticrack. The slab may eventually break and detach from the rest of the snowpack, provided that the slope is steep enough to enable gravity to overcome the friction. The only theoretical framework to date (Heierli 2005) proposed an explicit solution for the propagation speed in steady state which could not account for weak layer properties, was not mathematically bounded for certain values of the physical constants involved, and could not explain the newly uncovered supershear transition for steep slopes. Here, a new model for the stationary propagation of anticracks is set up, so as to account for the anticrack speed regime on the one hand, and the supershear regime on the other hand, the existence of which has been recently revealed and ascertained by numerical simulations. The results presented here seem consistent with most of the available data, and highlight the role that the compaction of the weak layer can play in reducing the anticrack speed. On the contrary, by storing energy upon failure and suddenly releasing it at the crack tip, the weak layer elasticity could help justify the higher speeds sometimes observed in both regimes. Finally, a more accurate model is proposed, based on the modelling of both the slab and the weak layer as Timoshenko beams; although its complexity prevents us from solving it analytically, it provides enlightening insights into the mechanical processes at work at the interface between both layers, from a strength-of-materials perspective. This analysis is a first step towards a better understanding of the underlying mechanisms of propagation of cracks in slab avalanches, and towards more accurate avalanche size and occurrence predictions.

physics.geo-ph↗

arXiv2023

A Depth-Averaged Material Point Method for Shallow Landslides: Applications to Snow Slab Avalanche Release

Shallow landslides pose a significant threat to people and infrastructure. While often modeled based on limit equilibrium analysis, finite or discrete elements, continuum particle-based approaches like the Material Point Method (MPM) have more recently been successful in modeling their full 3D elasto-plastic behavior. In this paper, we develop a depth-averaged Material Point Method (DAMPM) to efficiently simulate shallow landslides over complex topography based on both material properties and terrain characteristics. DAMPM is an adaptation of MPM with classical shallow water assumptions, thus enabling large-deformation elasto-plastic modeling of landslides in a computationally efficient manner. The model is here demonstrated on the release of snow slab avalanches, a specific type of shallow landslides which release due to crack propagation within a weak layer buried below a cohesive slab. Here, the weak layer is considered as an external shear force acting at the base of an elastic-brittle slab. We validate our model against previous analytical calculations and numerical simulations of the classical snow fracture experiment known as Propagation Saw Test (PST). Furthermore, large scale simulations are conducted to evaluate the shape and size of avalanche release zones over different topographies. Given the low computational cost compared to 3D MPM, we expect our work to have important operational applications in hazard assessment, in particular for the evaluation of release areas, a crucial input for geophysical mass flow models. Our approach can be easily adapted to simulate both the initiation and dynamics of various shallow landslides, debris and lava flows, glacier creep and calving.

physics.geo-ph↗