Canal and Canal Levee Stability under Pseudostatic Loading, Vetiver Grass, and Rapid Drawdown Conditions

This dataset contains GeoStudio (Slope/W 2025) numerical models developed for the integrated stability assessment of earthen canals and canal levees under hydraulic, geotechnical, and seismic loading conditions. The study focuses on the Khush Tepa Canal, Afghanistan, and evaluates slope performance under steady-state seepage, rapid drawdown, and pseudostatic earthquake loading conditions, as well as the reinforcing effect of vetiver grass as a bioengineering solution. The analysis is performed using the Morgenstern–Price limit equilibrium method and considers multiple scenarios to simulate realistic field conditions, including groundwater effects, transient hydraulic loading, and seismic inertial forces derived from site-specific seismic parameters. Three main GeoStudio models are included in this dataset: Steady-state seepage slope stability model Rapid drawdown slope stability model Pseudostatic seismic slope stability model with and without vetiver grass reinforcement The study evaluates a critical section (IT3) of the Khush Tepa Canal, which is characterized by sandy and silty soils, shallow groundwater conditions, and high susceptibility to instability. The results demonstrate significant reductions in factor of safety under seismic and rapid drawdown conditions, while showing notable improvements in stability due to vetiver grass reinforcement. This dataset supports research on: Canal and levee slope stability Seismic performance of earthen embankments Rapid drawdown effects Bioengineering slope stabilization using vetiver grass Limit equilibrium modeling using GeoStudio Slope/W The dataset can be used for academic research, engineering design comparison, and further numerical modeling studies in geotechnical and hydraulic engineering.本数据集包含为开展土渠与渠堤在水力、岩土及地震荷载条件下的整体稳定性评估而开发的GeoStudio（Slope/W 2025）数值模型。本研究以阿富汗库什特帕运河（Khush Tepa Canal）为研究对象，评估其在稳态渗流、快速水位下降及拟静力地震荷载工况下的边坡性能，并验证香根草（vetiver grass）作为生物工程加固方案的效果。 本次分析采用Morgenstern–Price极限平衡法（Morgenstern–Price limit equilibrium method）开展，设置多组工况以模拟真实现场条件，涵盖地下水影响、瞬态水力荷载以及基于场地特定地震参数推导得到的地震惯性力。 本数据集共包含三类核心GeoStudio模型： 1. 稳态渗流边坡稳定性模型 2. 快速水位下降边坡稳定性模型 3. 有无香根草加固的拟静力地震边坡稳定性模型 本研究聚焦库什特帕运河的关键断面IT3，该断面以砂质与粉质土壤为主要地层，存在浅层地下水特征，且边坡失稳敏感性较高。研究结果显示，在地震及快速水位下降工况下，边坡安全系数出现显著降低；而香根草加固可有效提升边坡稳定性。 本数据集可支撑以下方向的研究： - 渠系与堤坡稳定性研究 - 土堤抗震性能分析 - 快速水位下降效应研究 - 基于香根草的生物工程边坡加固技术 - 采用GeoStudio Slope/W开展的极限平衡建模研究 本数据集可应用于岩土与水利工程领域的学术研究、工程设计对比及后续数值模拟相关研究。