Digitale Baugrundmodelle im Tunnelbau – Status, Chancen und Risiken

Weil, Jonas

doi:10.1002/geot.201900078

Cited by 7 publications

(6 citation statements)

References 6 publications

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“…Unlike conventional methods that traditionally concern the ground variability solely based on the distance between CPTs, such as kriging-based (Krige 1951) or distance-from-nearest-information (Weil 2020) sources, the presented framework combines geotechnical and spatial sampling information to reduce the stratigraphic uncertainty in the field where CPT measurements are conducted. In more detail, the proposed strategy characterizes the 3D stratigraphic model based on the dimensionless scalar-valued field quantity termed level of fluctuation (x) ∈ [0, 1] (not be confused with the scale of fluctuation occupying the unit m (Vanmarcke 1977)).…”

Section: Methodsmentioning

confidence: 99%

A Case Study on Advanced CPT Data Interpretation: From Stratification to Soil Parameters

Marzouk,

Granitzer,

Rauter

et al. 2024

Geotech Geol Eng

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The cone penetration test (CPT) is considered as one of the most reliable in-situ tests and has found numerous applications in the geotechnical engineering field. Traditional CPT interpretation includes, but are not limited to the identification of the soil stratification and the determination of soil parameters. This paper presents a case study concerning a test site located in Salzburg, Austria, in which we focus on the interpretation of CPTs from different perspectives. The manuscript is divided into three main sections dealing with three different aspects of CPT interpretation, namely stratification, ground variability and soil parameters. The first strategy introduces a machine learning based stratification identification strategy to detect soil layer boundaries from CPT measurements. A comparison with reference solutions demonstrates relative merits of this approach to classical filter algorithms based on empirical CPT classifications. The second strategy introduces an intuitive approach to evaluate the ground variability. This is achieved by calculating the level of fluctuation on the basis of CPT measurements and could be used as a data-driven decision-making tool for the improved design of CPT investigation layouts. The third strategy is embedded in an ongoing research project that aims to determine constitutive model parameters from in-situ tests using a graph-based methodology. In the present work, the developed automated parameter determination framework is applied to evaluate the soil parameters of one selected soil layer identified from the CPT interpretations. Potential lines of research in the context of CPT interpretation are explored throughout this work and may serve as valuable reference in future research.

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Section: Methodsmentioning

confidence: 99%

A Case Study on Advanced CPT Data Interpretation: From Stratification to Soil Parameters

Marzouk,

Granitzer,

Rauter

et al. 2024

Geotech Geol Eng

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“…The primary role of the overall model lies in facilitating interdisciplinary integration and verifying and defining dependencies among the trades involved in the construction project, such as collision checks. However, the widespread adoption of consolidating all subdomain models into a coordination model within the DACH region (Germany, Austria, Switzerland) is still pending [24]. The model can be applied to the optimization of the horizontal excavation support, the detection of potential openings in the clay layer affecting the vertical water tightness of the construction pit, the estimation of water discharge, and the evaluation of the risk of a hydraulic failure water ingress into the excavation.…”

Section: Incorporation In Bimmentioning

confidence: 99%

Section: Incorporation In Bimmentioning

confidence: 99%

Perspectives of 3D Probabilistic Subsoil Modeling for BIM

Wiegel,

Peña-Olarte,

Cudmani

2023

Geotechnics

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Building information modeling (BIM) in the planning and construction of infrastructure projects, such as roads, tunnels, and excavations, requires the generation of comprehensive 3D subsoil models that encompass relevant geological and geotechnical information. Presently, this process relies on the deterministic interpolation of discrete data points obtained from exploratory boreholes and soundings, resulting in a single deterministic prediction. Commonly employed interpolation methods for this purpose include radial basis function and kriging. This contribution introduces probabilistic methods for quantifying prediction uncertainty. The proposed modeling approach is illustrated using simple examples, demonstrating how to use sequential Gaussian and Indicator Simulation techniques to model sedimentary processes such as erosion and lenticular bedding. Subsequently, a site in Munich serves as a case study. The widely used industry foundation classes (IFC) schema allows the integration of the model into the BIM environment. A mapping procedure allows transferring voxel models to the IFC schema. This article discusses the significance of incorporating uncertainty quantification into subsoil modeling and shows its integration into the BIM framework. The proposed approach and its efficient integration with evolving BIM standards and methodologies provides valuable insights for the planning and construction of infrastructure projects.

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“…Such a "standardised procedure for data exchange in the documentation process […] for the payment of construction works" is currently missing for tunnelling. [5] It is considered crucial, especially on the part of the design offices, to clearly define the requirements for BIM by the employer [2,6,7]. However, on part of the employer, "the construction industry is thus expected to define uniform standards" [3].…”

Section: Literature Reviewmentioning

confidence: 99%

“…[5] One reason for this is the lack of specifications for data structures, which encourages isolated solutions. [7] In any case, it takes a lot of effort to structure the data right from the start. [3] However, project execution with BIM at an early stage is always advantageous, also to avoid falling back into existing patterns of work.…”

Section: Literature Reviewmentioning

confidence: 99%

Current developments of digital ground modelling in tunnelling

Exenberger

Massimo‐Kaiser

Flora

2022

Geomechanics and Tunnelling

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This article analyses and discusses the current state of the art in the development of digital ground models in tunnelling. Following a review and discussion of the literature research combined with interview responses, a deficit analysis was performed. It shows why current projects mainly work with models and software that function as isolated solutions. A lack of software developments and limited collaborative work mean that the effects of current findings cannot immediately be implemented in models. Accordingly, the enormous potential of full coaction can only be imagined. A further problem is the lack of loss‐free data exchange across varying project phases and participants. Science is already moving in the right direction with the goal of harmonising the basic systematics. Finally, requirements for a digital ground model are formulated, and in combination with collaborative working and improved communication, these result in a large number of advanced possible applications.

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Digitale Baugrundmodelle im Tunnelbau – Status, Chancen und Risiken

Cited by 7 publications

References 6 publications

A Case Study on Advanced CPT Data Interpretation: From Stratification to Soil Parameters

A Case Study on Advanced CPT Data Interpretation: From Stratification to Soil Parameters

Perspectives of 3D Probabilistic Subsoil Modeling for BIM

Current developments of digital ground modelling in tunnelling

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