Resiliency in Geotechnical Asset Management: A Risk-Based Quantitative Approach-Video

Video Transcription

Video Summary

Ahmad Al-Hassan of Applied Research Associates presents a framework for improving the resilience of geotechnical transportation assets. He explains that resilience includes an asset’s ability to withstand disruption and recover, measured through performance loss, recovery time, resourcefulness, and network redundancy. Because geotechnical performance is difficult to define, assessment should also consider cumulative damage, deterioration, and reduced service life.<br /><br />The proposed approach evaluates individual assets and localized systems from the bottom up, then assesses network performance to guide decisions from the top down. A flood-exposed road embankment, culvert, and retaining wall illustrate how interconnected assets can affect one another and complicate damage assessment.<br /><br />For long-term planning, the presentation applies portfolio theory to compare investment strategies by expected benefit and uncertainty. Since optimizing large networks is challenging, machine learning may help model deterioration and cumulative damage. The framework supports both resilience-based design and management of existing assets.

Keywords

geotechnical resilience

transportation assets

performance loss

portfolio theory

machine learning