Resilience-Based Design of Geotechnical Assets-Video

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Video Summary

The presentation outlines a developing framework for resilience-based design of geotechnical assets, emphasizing a shift from designing for a single extreme event toward adapting to changing conditions over an asset’s life. Resilience should be considered at both project and network scales: individual projects may need greater capacity, while network management can provide alternatives when assets fail.<br /><br />The framework seeks to clarify asset condition, performance, and capacity; model deterioration and cumulative damage; and represent loads as changing, potentially nonstationary time series, since the sequence and repetition of events matter. Reliability-based design should account for time-dependent uncertainty and identify a “marginal performance” zone where maintenance can prevent failure. Asset criticality and measurable benefits are also important, though benefits for geotechnical assets remain difficult to quantify.<br /><br />Future work includes case studies, remote-sensing data, and physics-guided machine learning to improve long-term predictions. The presenter also notes that conditional Markov chains and Bayesian updating may help model gradual deterioration and event impacts.

Keywords

resilience-based design

geotechnical assets

deterioration modeling

reliability-based design

Bayesian updating

physics-guided machine learning