An Automated and Efficient Slope Unit Division Method Coupled with Computer Graphics and Hydrological Principles

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(9), P. 4647 - 4647

Published: April 23, 2025

Slope units serve as fundamental spatial for surface morphology modeling and multidisciplinary coupling analysis, holding significant theoretical value practical implications in regional stability assessments, process simulations, quantitative geological engineering research. The scientific delineation of slope must simultaneously satisfy implementation requirements adhere to the unit homogeneity principle. However, conventional like hydrological analysis method (HPAM) exhibits critical limitations, including strong threshold dependency, a low automation level, single-attribute optimization, thereby restricting its applicability complex scenarios. Based on principles consistency processes, this study integrates computer graphics algorithms with simulation techniques propose an automated division coupled (SUD-CGHP). employs digital elevation model (DEM) input data construct three-stage hierarchical framework comprising (1) terrain skeleton extraction through morphological erosion algorithm, (2) topological relationship iteration (3) multisource parameter constraints. This achieves without thresholds while enabling multi-attribute fusion effectively addressing shortcomings HPAM. Field validation Yanglousi Town, Hunan Province, demonstrates that SUD-CGHP-generated exhibit superior internal flow direction, aspect, gradient compared HPAM maintaining complete topographic–hydrological connectivity. research findings indicate significantly enhances validity delineation, providing reliable modeling.

Language: Английский

Numerical Analysis of the Effect of the Rock Particle Size on the Macroscopic Mechanical Properties Under Uniaxial Compression and Shearing

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(9), P. 4882 - 4882

Published: April 28, 2025

When the distribution characteristics of rock particles are unknown, obtaining reasonable particle size parameters through trial-and-error methods is time-consuming. Therefore, identifying a set that can accurately reflect macro-mechanical properties crucial. In this study, series uniaxial compression and direct shear tests were conducted on standard models with varying sizes ratios using discrete element method (DEM). The results indicate compressive strength, elastic modulus, stiffness increase decreasing size. Conversely, decrease as ratio increases. Based simulation results, accuracy reliability numerical simulations be ensured when relative average exceeds 50 greater than 1.5. These findings applied to other similar studies, thereby reducing time required for parameter matching enhancing efficiency scientific research.

Language: Английский