Discontinuous rock slope stability analysis under blocky structural sliding by fuzzy key-block analysis method.

Area of Science:

• Geotechnical Engineering
• Computational Geology
• Decision Science

Background:

• Discontinuous rock slopes present complex stability challenges.
• Existing quantitative methods can be time-consuming and require extensive data.
• Rapid assessment tools are needed for effective response operations.

Purpose of the Study:

• To develop a fuzzy logical decision-making algorithm for discontinuous rock slope reliability.
• To enable rapid response operations without extensive quantitative analysis.
• To assist engineers, especially novices, in making accurate stability decisions.

Main Methods:

• Fuzzy logical decision-making algorithm based on block theory.
• Weighted rational decision function for reliability assessment.
• Utilized Mathematica software for implementation.
• Incorporated discontinuity network geometrical uncertainties and hierarchical decision-making.

Main Results:

• The algorithm accurately classifies rock blocks and identifies movable/key blocks.
• It provides a 'degree of reliability' for slopes under various slip scenarios.
• Verification using SWedge, RocPlane, and expert assignments confirmed the algorithm's success.
• Achieved high precision and speed in stability analysis.

Conclusions:

• The fuzzy logic algorithm effectively determines discontinuous rock slope reliability.
• It offers a quick, accurate, and rational decision-making system.
• The method minimizes the need for common, time-intensive practices in rock slope stability analysis.