<p>This study addressed the lack of dynamic, bidirectional workflows in linking Building Information Modeling (BIM) and Geographic Information Systems (GIS) for geotechnical design. The objective was to develop an integrated approach that reduced data re-entry, improved interoperability, and supported adaptive infrastructure modeling. A workflow was implemented to synchronize geotechnical processes with BIM models through visual programming algorithms. Geostatistical analysis with Empirical Bayesian Kriging was used to construct three-dimensional subsoil models from geotechnical survey data. These models were dynamically linked to the design environment to calculate settlement beneath embankments. A parametric procedure then generated layouts of prefabricated vertical drains, adjusting automatically to spatial variations in soil conditions. The workflow was applied to the Tangier–Kenitra high-speed railway project. It identified settlement-prone areas and produced optimized drain networks that responded to updated geotechnical inputs. Manual data handling was reduced, and consistency was maintained between geotechnical parameters and design adjustments. The automation of settlement estimation and soil improvement design improved responsiveness to subsurface variability. The developed workflow enabled bidirectional exchange between BIM and GIS environments, provided continuous integration of geotechnical data into infrastructure models, and supported more efficient, adaptive, and collaborative approaches to mitigating settlement risks.</p>

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GeoBIM for Infrastructure Geotechnics: Parametric and Generative Design

  • Fouzia Kassou,
  • Nouhayla Bouayach,
  • Mustapha Rguig

摘要

This study addressed the lack of dynamic, bidirectional workflows in linking Building Information Modeling (BIM) and Geographic Information Systems (GIS) for geotechnical design. The objective was to develop an integrated approach that reduced data re-entry, improved interoperability, and supported adaptive infrastructure modeling. A workflow was implemented to synchronize geotechnical processes with BIM models through visual programming algorithms. Geostatistical analysis with Empirical Bayesian Kriging was used to construct three-dimensional subsoil models from geotechnical survey data. These models were dynamically linked to the design environment to calculate settlement beneath embankments. A parametric procedure then generated layouts of prefabricated vertical drains, adjusting automatically to spatial variations in soil conditions. The workflow was applied to the Tangier–Kenitra high-speed railway project. It identified settlement-prone areas and produced optimized drain networks that responded to updated geotechnical inputs. Manual data handling was reduced, and consistency was maintained between geotechnical parameters and design adjustments. The automation of settlement estimation and soil improvement design improved responsiveness to subsurface variability. The developed workflow enabled bidirectional exchange between BIM and GIS environments, provided continuous integration of geotechnical data into infrastructure models, and supported more efficient, adaptive, and collaborative approaches to mitigating settlement risks.