Stochastic 3D modelling of discrete sediment bodies for geotechnical applications

In the course of engineering geological ground characterizations, internal structures of sediments are often simplified to continuous units and structures like lenses are drawn in cross sections based on geologists’ experience. Seeing this as oversimplifications, we propose discrete sediment body (D...

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Main Authors: Georg H. Erharter, Franz Tschuchnigg, Gerhard Poscher
Format: Article
Language:English
Published: Elsevier 2021-09-01
Series:Applied Computing and Geosciences
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2590197421000148
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spelling doaj-20ada02997334786aeee7c937c96669c2021-09-07T04:14:11ZengElsevierApplied Computing and Geosciences2590-19742021-09-0111100066Stochastic 3D modelling of discrete sediment bodies for geotechnical applicationsGeorg H. Erharter0Franz Tschuchnigg1Gerhard Poscher2geo.zt gmbh – poscher beratende geologen, Saline 17, Hall in Tirol, Austria; Graz University of Technology, Institute of Rock Mechanics and Tunnelling, Rechbauerstraße 12, Graz, Austria; Corresponding author. geo.zt gmbh – poscher beratende geologen, Saline 17, Hall in Tirol, Austria.Graz University of Technology - Institute of Soil Mechanics, Foundation Engineering and Computational Geotechnics, Rechbauerstraße 12, Graz, Austriageo.zt gmbh – poscher beratende geologen, Saline 17, Hall in Tirol, AustriaIn the course of engineering geological ground characterizations, internal structures of sediments are often simplified to continuous units and structures like lenses are drawn in cross sections based on geologists’ experience. Seeing this as oversimplifications, we propose discrete sediment body (DSB) modelling which is a computational workflow that permits generation of 3D meshes of sediment bodies. DSB modelling can be used to stochastically model highly detailed sedimentary underground structures, based on geometrical assumptions (e.g. size and orientation of lenses) that can be derived from engineering geological investigations. From a geological point of view, the framework is suited to model underground conditions where one would describe the occurrence of chaotic lens-shaped sediments. The modelling process follows a pipeline, where first estimations about the distribution and geometries of the sediment bodies are made. To get non-intersecting meshes as a final product, surrogate point clouds are generated that follow the initial geometrical estimations, which are then clustered, and finally alpha shape based meshes are generated around the clusters. Resulting 3D sediment bodies enable easy generation of consistent 2D geological cross sections and can be used as a basis for further analyses. The paper is finished with a case study where a finite element stability analysis is done for a slope excavation with underground conditions featuring clayey silt lenses in a matrix of gravelly sand. It can be shown that the lenses substantially influence the ground behavior in comparison to a classical approach with continuous units.http://www.sciencedirect.com/science/article/pii/S2590197421000148Geological 3D modellingDiscrete sediment bodiesStochastic modellingFE AnalysisSlope stability
collection DOAJ
language English
format Article
sources DOAJ
author Georg H. Erharter
Franz Tschuchnigg
Gerhard Poscher
spellingShingle Georg H. Erharter
Franz Tschuchnigg
Gerhard Poscher
Stochastic 3D modelling of discrete sediment bodies for geotechnical applications
Applied Computing and Geosciences
Geological 3D modelling
Discrete sediment bodies
Stochastic modelling
FE Analysis
Slope stability
author_facet Georg H. Erharter
Franz Tschuchnigg
Gerhard Poscher
author_sort Georg H. Erharter
title Stochastic 3D modelling of discrete sediment bodies for geotechnical applications
title_short Stochastic 3D modelling of discrete sediment bodies for geotechnical applications
title_full Stochastic 3D modelling of discrete sediment bodies for geotechnical applications
title_fullStr Stochastic 3D modelling of discrete sediment bodies for geotechnical applications
title_full_unstemmed Stochastic 3D modelling of discrete sediment bodies for geotechnical applications
title_sort stochastic 3d modelling of discrete sediment bodies for geotechnical applications
publisher Elsevier
series Applied Computing and Geosciences
issn 2590-1974
publishDate 2021-09-01
description In the course of engineering geological ground characterizations, internal structures of sediments are often simplified to continuous units and structures like lenses are drawn in cross sections based on geologists’ experience. Seeing this as oversimplifications, we propose discrete sediment body (DSB) modelling which is a computational workflow that permits generation of 3D meshes of sediment bodies. DSB modelling can be used to stochastically model highly detailed sedimentary underground structures, based on geometrical assumptions (e.g. size and orientation of lenses) that can be derived from engineering geological investigations. From a geological point of view, the framework is suited to model underground conditions where one would describe the occurrence of chaotic lens-shaped sediments. The modelling process follows a pipeline, where first estimations about the distribution and geometries of the sediment bodies are made. To get non-intersecting meshes as a final product, surrogate point clouds are generated that follow the initial geometrical estimations, which are then clustered, and finally alpha shape based meshes are generated around the clusters. Resulting 3D sediment bodies enable easy generation of consistent 2D geological cross sections and can be used as a basis for further analyses. The paper is finished with a case study where a finite element stability analysis is done for a slope excavation with underground conditions featuring clayey silt lenses in a matrix of gravelly sand. It can be shown that the lenses substantially influence the ground behavior in comparison to a classical approach with continuous units.
topic Geological 3D modelling
Discrete sediment bodies
Stochastic modelling
FE Analysis
Slope stability
url http://www.sciencedirect.com/science/article/pii/S2590197421000148
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