ABSTRACT
Geotechnical analyses form the foundation of Geotechnical Baseline Reports, which define anticipated ground conditions and guide risk allocation, construction planning, and project management in major infrastructure projects such as tunnels and dams. However, traditional spreadsheet-based workflows used to generate these analyses often lead to inefficiencies, errors, and poor data traceability, limiting collaboration and confidence in baseline parameters. This paper presents an open source AGS-Native cloud-based tool developed to modernize geotechnical workflows through standardization and transparency. It utilizes the AGS (Association of Geotechnical and Geoenvironmental Specialists) data format, ensuring consistent, structured, and interoperable geotechnical data across software tools. This approach mitigates the long-standing issue of fragmented, non-standard data that hampers efficient project delivery. The integrated AGS workflow begins with automated data quality control, verifying completeness, consistency, and AGS compliance while flagging errors early. It then enables statistical analysis to characterize soil and rock properties, quantify variability, and define robust baseline parameters. The workflow further enhances understanding through customizable visualizations—charts, plots, and trend analyses—that support collaboration and data-driven decision-making. By integrating automation, standardization, and visualization into a unified platform, the tool empowers engineers to deliver transparent, defensible baselines that strengthen project confidence and improve outcomes across all stages of geotechnical design and construction.
