Seismic reliability analysis of reinforced slope considering soil parameter dependence structure.

Area of Science:

• Geotechnical Engineering
• Earthquake Engineering
• Structural Reliability

Background:

• Slope stability is crucial for infrastructure safety and economic loss reduction.
• Accurate seismic reliability analysis requires considering the dependence structure of soil parameters.
• Existing methods may not fully capture the complex interactions in reinforced slopes under seismic loads.

Purpose of the Study:

• To evaluate the seismic performance and reliability of reinforced slopes.
• To introduce the Copula function for modeling the dependence between soil cohesion and internal friction angle.
• To apply the Generalized Probability Density Evolution Method (GPDEM) for quantitative reliability assessment.

Main Methods:

• Utilized the Copula function (specifically Frank Copula) to model soil parameter dependencies.
• Generated soil and ground motion samples using the Generalized F-discrepancy method.
• Simulated dynamic slope response and employed GPDEM for reliability analysis.

Main Results:

• Folded geogrid reinforced slopes exhibited superior seismic performance.
• Frank Copula effectively characterized the dependence structure between soil parameters.
• GPDEM enabled rapid generation of structural reliability curves under various thresholds.

Conclusions:

• The study provides a robust framework for seismic reliability analysis of reinforced slopes.
• Findings support the use of folded geogrids for enhanced seismic stability.
• The methodology offers significant theoretical implications for slope design and risk assessment.