The effect of slab touchdown on anticrack arrest in propagation saw tests dataset and data processing

Touchdown Analysis: Snow Avalanche Research Framework This repository contains a comprehensive analysis framework for touchdown research in snow avalanche mechanics, focused on crack propagation, energy release rates, and slab-weak layer interactions. Overview This research framework implements multiple analytical approaches to understand touchdown behavior in avalanche mechanics: Parametric Studies: Systematic analysis of how material properties (density, thickness, modulus) affect touchdown distances Model Validation: Comparison between DEM simulations, WEAC analytical models, and experimental data Crack Propagation Analysis: Energy release rate calculations and propagation length predictions Parameter Sensitivity: Effects of geometric and material parameters on structural response Fracture Mechanics: Critical energy release rate ratios for crack arrest prediction Long PST Analysis: Extended propagation saw test experimental validation Profile Deformation: Standard slab profile analysis under different loading conditions Repository Structure touchdown_analysis/ ├── src/ │ ├── main.ipynb # Main analysis notebook with all figures │ ├── analysis.py # Core analysis functions and physics models │ └── plotting.py # Visualization functions for all analyses ├── raw_data/ │ ├── figure4/ # Standard slab profile deformation data │ ├── figure5/ # DEM model validation data │ ├── figure6/ # Crack propagation comparison data │ ├── figure7/ # Parameter variation study data │ └── figure9/ # Long PST experimental data ├── output/ │ ├── figure4/ # Slab profile analysis results │ ├── figure5/ # Validation analysis outputs (displacements/stresses) │ ├── figure6/ # Crack propagation results (touchdown/energy) │ ├── figure7/ # Parameter sensitivity analysis results │ ├── figure8/ # Touchdown parametric study results (cached) │ └── figure9/ # Long PST analysis outputs ├── requirements.txt # Python dependencies └── README.md # This file Key Analyses Figure 4: Standard Slab Profile Deformation Analysis of different snow slab profiles (homogeneous, hard-soft-hard, soft-hard-soft) under loading conditions, comparing ABAQUS finite element and WEAC analytical models. Figure 5: DEM Model Validation Validation of discrete element method (DEM) simulations against continuum mechanics for displacement and stress fields at different slope angles (-35°, 0°, 35°). Figure 6: Crack Propagation Comparison Comparative analysis of crack propagation using different numerical methods (WEAC, ANSYS) showing touchdown length evolution and energy release rates over time. Figure 7: Parameter Sensitivity Analysis Systematic study of how material and geometric parameters (height, density, Gerling number, inclination, weak layer properties) affect touchdown behavior. Figure 8: Touchdown Parametric Study Comprehensive parametric analysis of touchdown distances as functions of slab thickness, density, and weak layer thickness using different snow profiles and the Heierli analytical model. Figure 9: Long PST Experimental Analysis Analysis of extended propagation saw test (PST) experiments comparing WEAC simulations, fitted models, and experimental measurements for crack arrest and full propagation cases. Table 3: Fracture Toughness Ratios Critical energy release rate ratios (G_c/G_sw) from PST experiments for predicting crack arrest behavior. Usage Quick Start: # Install dependencies pip install -r requirements.txt # Run complete analysis jupyter notebook src/main.ipynb Data Organization Input Data (raw_data/) Figure 4: ABAQUS and WEAC simulation results for standard profiles Figure 5: DEM simulation data for validation studies Figure 6: Time-series crack propagation data from multiple methods Figure 7: Parameter variation study datasets Figure 9: Long PST experimental measurements Output Data (output/) Processed analysis results organized by figure Cached computations for efficient re-analysis Subdirectories for different aspects of each analysis Dependencies Python: 3.8 or higher NumPy: Numerical computing and array operations SciPy: Scientific computing for signal processing Matplotlib: Plotting and visualization Pandas: Data manipulation and analysis Jupyter: Interactive notebook environment See `requirements.txt` for complete dependency specifications.