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AGENDA
Session Flow
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01
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Welcome & Webinar Objectives
5 MINUTES
Introduction to Tailings Storage Facilities and the key geotechnical challenges associated with their assessment. Understand the importance of numerical modelling for evaluating stability and tailings behaviour, and an overview of what participants will learn.
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02
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Tailings Dam & TSF Modelling Fundamentals + 3D FEM Modelling
10 MINUTES
Introduce the key considerations for developing a geotechnical model of a tailings dam. Demonstrate the setup of a 3D FEM model in MIDAS GTS NX, including geometry, tailings and foundation materials, groundwater conditions, boundary conditions, and mesh generation.
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03
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Slope Stability & Strength Reduction Analysis
30 MINUTES · LIVE DEMONSTRATION
Demonstrate the Strength Reduction Method (SRM) to evaluate slope stability. Show how to determine the factor of safety and identify potential failure mechanisms through deformation and shear strain results. Explain how engineers can identify critical zones and assess overall dam stability.
✓ Strength Reduction Method ✓ Factor of Safety evaluation ✓ Deformation and shear strain results ✓ Identification of critical zones ✓ Potential failure mechanism assessment
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04
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Static Liquefaction & NorSand Modelling
10 MINUTES
Explain the engineering significance of static liquefaction in tailings dams and introduce the NorSand constitutive model. Demonstrate the model setup and key parameters in MIDAS GTS NX and discuss how advanced constitutive modelling can represent tailings behaviour under relevant loading conditions.
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05
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FEM Results Interpretation
5 MINUTES
Demonstrate how to interpret key analysis outputs, including displacement, stress, strain, pore pressure, shear strain, and factor of safety. Highlight how these results can be used to identify critical areas and support informed engineering decisions.
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06
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Live Q&A & Closing Remarks
5 MINUTES
Open discussion, participant questions, key takeaways, and closing remarks.
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Total Session Duration
65 Minutes
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Practical · Demonstration-led · Interactive
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