TY - JOUR A1 - Wiegel, Alexander A1 - Peña-Olarte, Andrés A1 - Cudmani, Roberto T1 - Quantification and validation of uncertainties in subsoil models T2 - Geotechnik N2 - In infrastructure planning and construction, modeling the subsoil and its associated uncertainty is a fundamental task of geotechnical engineers. However, probabilistic methods and tools for quantifying and displaying the uncertainty of the subsoil models are rarely used in practice where deterministic interpolation dominates. In digital planning using Building Information Modeling (BIM), the probabilistic approach supports creating a discipline model in which the uncertainties of the spatial layer structure are statistically quantified to evaluate the georisks in the design and execution of civil constructions. This article presents a case study using a combination of Sequential Gaussian Simulation (SGSIM) and Sequential Indicator Simulation (SISIM) to account for uncertainties in soil layer geometry. In a case study at the Munich Town Hall, a geostatistical approach is applied and validated based on 70 bore logs, whereby the probabilities for the occurrence of a particular layer are spatially quantified. The case study illustrates the methodology‘s great potential and benefits compared to the conventional deterministic approach based on interpolation procedures. KW - Building Information Modeling KW - Gauß-Zufallsfeld KW - Geostatistik Y1 - 2024 UR - https://opus4.kobv.de/opus4-fhpotsdam/frontdoor/index/index/docId/3537 SN - 0172-6145 VL - 47 IS - 4 SP - 269 EP - 281 PB - Wiley-Blackwell CY - Oxford ER -