Calculating Reliable Engineering Geological Model through Stochastic Co-Simulation Applied to CPTu Data

Conference Paper (2023)
Author(s)

Diego Di Curzio (TU Delft - Sanitary Engineering)

Giovanna Vessia

Research Group
Sanitary Engineering
DOI related publication
https://doi.org/10.1061/9780784484999.027
More Info
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Publication Year
2023
Language
English
Research Group
Sanitary Engineering
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Pages (from-to)
259-267
Publisher
American Society of Civil Engineers (ASCE)
ISBN (electronic)
['9780784484968', '9780784484975', '9780784484982', '9780784484999']
Reuse Rights

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Abstract

To perform a geotechnical reliable design, the spatial variability and the uncertainties related to the adopted engineering geological model (EGM) must be taken into account. However, any conceived EGM is characterized by uncertainties covering (1) the bias in the mathematical expression that transforms the measured parameters into design ones; and (2) the uncertainty associated with the variability of the soil and rock parameters in the prediction equations. Hereinafter, the sequential Gaussian co-simulation method (SGCS) has been applied to propagate the uncertainty in the calculation of the undrained shear resistance su from measured CPTu profiles (i.e., qc, fs, u2) through a linear model of co-regionalization. The studied area is located in the Po River alluvial plain (Bologna Province, Italy), where the mixture of silts, sands, and clays gets thicknesses of hundreds of meters. These heterogeneous deposits have been mechanically characterized through a 3D EGM to be used in reliability-based designing.

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