Author ORCID Identifier

Year of Publication


Degree Name

Doctor of Philosophy (PhD)

Document Type

Doctoral Dissertation




Civil Engineering

First Advisor

Dr. L. Sebastian Bryson


Landslides are frequently observed in mountainous places following prolonged periods of rain, frequently resulting in substantial topography changes. They pose a significant risk to human lives and the built environment globally, particularly in areas prone to excessive rainfall. While slope failures can occur because of human-caused factors such as slope loading or toe cutting for construction purposes, many failures occur because of rainfall penetrating an otherwise stable slope. A greater understanding of the characteristics and mechanics of landslides is consequently critical for geotechnical research, particularly in evaluating prospective mitigation strategies. The potential of slope failure is a primary consideration when assessing the risk associated with landslide movement. The current research seeks to develop a real-time decision-making tool for rainfall-induced landslides that enables users to compare governing parameters during intense rainfall, comprehend the in-situ stability condition, and therefore assure safety. The first section of the study employs a one-dimensional transient infiltration analytical solution (Yuan and Lu 2005) to evaluate seasonal variations in soil hydrologic behavior. The one-dimensional transient infiltration analytical solution enables better control and flexibility of the soil-water characteristic curve’s transient infiltration equations and fitting parameters. Due to the model's ability to determine fitting parameters, it was possible to calibrate it using in-situ soil hydrologic behavior. The second section of the study will examine how a slope behaves under seasonal rainfall variation utilizing soil hydrologic and mechanical techniques. The case study is based on data collected from a true monitored slope. Two years of monitoring were conducted on the slope. Throughout this time, the place experienced seasonal drying and wetting. Field hydrologic and deformation sensors were installed during the monitoring period. A finite element program was used to generate the monitored slope utilizing in situ slope geometry and initial condition data. Following that, the hydrologic and deformation reactions of the soil were investigated. At two previously reported slope locations, behavioral analysis is conducted. The final section of the study proposes a model for projecting the sub-surface’s volumetric water content using observations of surface rainfall and evapotranspiration. Initially, the prediction model was created using the location of a previously reported site. The prediction model was validated and then tested in six distinct Kentucky locations. The six locations lacked in-situ measurements of soil hydrologic and geotechnical parameters. As a result, Soil Active and Passive Moisture (SMAP) and Web Soil Survey were used to collect soil hydrologic and geotechnical data for the test locations. Combining the data with SMAP's soil hydrology data resulted in the establishment of a safety factor for the test sites. On increasing competitive advantage for member firms. Firm-level outcomes and inter-organizational relationship structures related to network involvement were investigated.

Digital Object Identifier (DOI)