Optimized Site Investigation and Risk Assessment Strategies Considering Uncertain Geotechnical Parameters Using Geo-AllStaR

  • Autor:

    Schlager, P., Schönhardt, M.

  • Quelle:

    GeoCongress 2008: Characterization, Monitoring, and Modeling of GeoSystems (GSP 179), 573-580; American Society of Civil Engineers (Publ.)

  • Datum: 2008
  • Adequate site characterization is indispensable in planning new building projects, carrying out reliability analyses, and performing risk assessment for contaminated sites, waste disposal sites, or industrial facilities etc. The scope and procedures for site investigation schemes depend on geological, topographical and structural boundary conditions, geotechnical risks, and type of building or facility. The results of such site investigations provide the data base for models that are used to evaluate site suitability, site quality and site safety. Characteristic parameters determined in site investigation efforts, however, are generally uncertain due to factors such as site heterogeneities, measurement inaccuracy, data inconsistency, and erroneous data transmission etc. This uncertainty results in the major risk in site characterization. Data analyses taking the quantity of such uncertainties into account will provide optimized investigation strategies, designed to raise the safety level for risk assessment and intervention actions and enable a more reliable planning. Combining preliminary parameters and their corresponding uncertainties, current site investigation results with their uncertainties, and the modeling uncertainties of the geological model, the Geo-AllStaR tool enables the estimation of probability or risk for an assumed failure scenario. Based on these quantified uncertainties, the optimal sampling and testing location can be detected, leading to strategies for optimized measuring network planning.