course

Course: Slope Stability: Analysing Factor of Safety and Probability of Failure

Course Outline:

Slope stability models rely on a comprehensive understanding of material strengths, geological features, structural conditions, and hydrogeological influences. These models often involve significant natural variability and inherent uncertainty in their input parameters, which can impact the reliability of design outcomes.

Join us for a two-day workshop which will empower you to:

  • Understand how variability in material properties and groundwater conditions impacts slope stability models.
  • Learn methods to incorporate uncertainty into your analysis to improve reliability.

Through hands-on practical examples, participants will learn the key differences between the traditional Factor of Safety approach and the more rigorous Probability of Failure analysis, using Slide2, RS2 and RocFall2.

Designed for engineering geologists and geotechnical engineers, this workshop offers an opportunity to deepen your understanding of risk-based design and modern analytical approaches. By the end of the course, you’ll be equipped with the knowledge and skills to confidently apply advanced slope stability techniques to your projects.

Course Details

  • Venue: JW Marriott Hotel, Jl. DR. Ide Anak Agung Gde Agung No.1&2 Kav. E1.2, Kuningan, Kuningan Tim., Kecamatan Setiabudi, Kota Jakarta Selatan, Daerah Khusus Ibukota Jakarta 12950, Indonesia

What’s included:

  • Temporary software licenses to all registrants
  • Morning Tea, Lunch and Afternoon Tea daily
  • PDF of course materials
  • Certificate

Please note:

  • Registrants will be responsible for their own travel and accommodation
  • Registrants must bring their own laptops (and mouse)
  • Recommended minimum specs:
    • 32 GB RAM is the recommended minimum
    • 64 GB RAM for 100,000+ triangles
    • 100 GB SSD is the recommended minimum
    • 500 GB SSD preferred
    • Discrete Nvidia brand graphics cards preferred for optimal experience
    • Windows 10 64-bit recommended minimum
    • Windows 11 64-bit preferred
  • Seats are limited

Course Outline:

Module 1: Deterministic vs Probabilistic Analysis

  • Variability and Uncertainty in geotechnical model inputs
  • Principles of Deterministic Analysis
  • Principles of Probabilistic Analysis
  • Advantages and Limitations of analysis techniques

Module 2: Probabilistic Inputs

  • Statistical distributions
  • Defining mean, standard deviation and coefficient of variation
  • Sensitivity analysis vs Probabilistic analysis in Rocscience software

Module 3: Practical Examples

  • Slide2
    • Sensitivity Analysis of Material Properties and Water Table location
    • Probabilistic Analysis of Material Properties
    • Probabilistic Analysis of Ground Support
  • RocFall2
    • Probabilistic Analysis of Runout distance to determine suitable stand off distances
  • RS2
    • Slope Stability Analysis using Point Estimate, Monte Carlo and Latin Hypercube Sampling methods

Module 4: Back Analysis

  • Using Probabilistic tools in Slide2 to back analyse material properties

Course Instructor:

Dr. Alison McQuillan, Director of Rocscience in Australia
Dr. Alison McQuillan, Director of Rocscience in Australia


Location