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X-WR-CALDESC:Revitalizing Resiliency
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DTSTART;TZID=America/Chicago:20260917T143000
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DTSTAMP:20260630T121705Z
CREATED:20260630
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SUMMARY:Big Data to Guide Geotechnical Engineering Design in Challenging Environments
DESCRIPTION:Geotechnical engineering practice seeks to mitigate uncertainty and reduce risks associated with subsurface conditions, particularly in geologically sensitive environments such as karst terrain. Recent advances in data analytics have enabled broader use of large geospatial and geotechnical datasets (“big data”) to support risk informed design. Big data may include historical aerial imagery, topographic and soil survey maps, and published geological and hydrogeological reports. When systematically integrated, such information can be used to optimize subsurface exploration programs, guide geophysical surveys, and refine geotechnical investigation strategies. For sites containing existing infrastructure, visual forensic assessments of facility performance provide an additional dataset that can be correlated with interpreted subsurface conditions to improve predictions of new facility behavior. Furthermore, documenting drill rig response during exploration offers valuable real time insight into stratigraphy and material variability, contributing to improved characterization of geotechnical risk.\nTwo case studies demonstrate the practical benefits of this integrated approach. The results illustrate how historical data, geological and hydrogeological characterization, measured subsurface properties, and observed performance of adjacent structures can be combined to support efficient ground improvement strategies and informed foundation design recommendations. Overall, the incorporation of big data directly into geotechnical engineering workflows provides a robust framework for reducing geotechnical risk in challenging geological settings.\n
URL:https://texascecon.org/cecon/ig-data-to-guide-geotechnical-engineering-design-in-challenging-environments/
CATEGORIES:Geotechnical Institute (TxGI),Sessions
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