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Vermeer, Jort (author)
The Random Finite Element Method (RFEM) is a robust stochastic method for slope reliability analysis that incorporates the spatial variability of soil properties. However, the extensive computational time associated with the direct Monte Carlo simulation limits its practical application. To overcome this problem, this study investigates the use...
master thesis 2024
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Pană, Paul (author)
As a consequence of the difficulty to obtain complete direct information about the subsurface, and the importance of heterogeneity of soil properties in geotechnical design, a desire exists in the geotechnical community for a smarter use of the available data in common practice. The objective of this thesis is to provide a potential solution for...
master thesis 2022
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Zander, F. (author)
Organic matter plays a major role in global ecosystems and has several functions in terrestrial and marine environments. As organic matter impacts, among others, the rheological behaviour and settling rates of mineral sediment particles, it is of great relevance to the definition and maintenance of the nautical depth in ports and waterways. The...
doctoral thesis 2022
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Fan, Zhi Yang (author)
The Port of Rotterdam (PoR) is the largest port in Europe and in order to maintain its status, it would need to expand. For the expansion, an extensive survey of the subsurface is needed for the construction of new port areas and its geotechnical structures. As part of designing the geotechnical structures, the subsurface is often modelled as...
master thesis 2022
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Li, Yajun (author), Li, Jianguang (author), Xu, Nengxiong (author), Fenton, Gordon A. (author), Vardon, P.J. (author), Hicks, M.A. (author)
Correlation length or scale of fluctuation (SOF) is often used as a primary parameter in defining the spatial correlation characteristics of varying soil properties. However, geotechnical site investigations are rather limited so that proper determination of correlation length is not always possible. The concept of a worst-case correlation...
journal article 2022
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Varkey, D. (author), Hicks, M.A. (author), Vardon, P.J. (author)
This paper investigates the influence of three forms of uncertainty on the probabilistic stability of an idealised 3D embankment slope. These are: 1D spatial variability in the external geometry of the slope along its length, 2D spatial variability in the depth of the boundary between the embankment material and the foundation layer, and 3D...
journal article 2022
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Beenen, Kathelijne (author)
Due to increasing global population and increasing food demand, crop yield needs to be improved to forestall potential food shortages. To achieve optimal crop yield, irrigation is applied to replace water losses due to evapotranspiration (ET). Information on ET should be applied to optimize water allocations and water use. In this study, the...
master thesis 2020
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van Koelen, Tim (author)
The subsurface is often modelled as multiple homogeneous soil layers. In reality, the soil properties of these layers are heterogeneous and spatially variable, making it difficult to properly deduct the engineering properties that are required in the design of geotechnical structures. This leads to uncertainty in the design. The probabilistic...
master thesis 2019
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Duvvuru Mohan, V.K. (author), Vardon, P.J. (author), Hicks, M.A. (author), van Gelder, P.H.A.J.M. (author)
Bayesian networks are proposed as a tool to integrate reliability and influential variables relating to the slope stability of an idealized embankment. The site investigation (extent) and slope geometry, as well as the material properties and their spatial variability, are considered within a Bayesian network. The random finite element method ...
conference paper 2019
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Varkey, D. (author), Hicks, M.A. (author), Vardon, P.J. (author)
An improved method for the reliability analysis of 3D slopes has been proposed based on the semi-analytical method of Vanmarcke (1977). Comparing the predicted responses of an idealised 3D slope obtained by the more general, albeit computationally intensive, random finite element method (RFEM), and the original semi-analytical method showed that...
conference paper 2019
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de Gast, T. (author), Vardon, P.J. (author), Hicks, M.A. (author)
Measuring soil variability has many challenges. One of the challenges is soil deformation, which can change the spatial correlation structure arising from the original geological processes. In particular, this is important in the assessment of existing structures. In this paper, the effect of existing structures on the horizontal spatial...
conference paper 2019
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Hicks, M.A. (author), Varkey, D. (author), van den Eijnden, A.P. (author), de Gast, T. (author), Vardon, P.J. (author)
A case study involving the assessment and re-design of an existing dyke, founded on a layered soil, has compared deterministic analysis based on 5-percentile property values and a reliability-based random finite element analysis consistent with the requirements of Eurocode 7. The results show that a consideration of the spatial nature of soil...
journal article 2019
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Vardon, P.J. (author), Liu, K. (author), Hicks, M.A. (author)
The determination of slope stability for existing slopes is challenging, partly due to the spatial variability of soils. Reliability-based design can incorporate uncertainties and yield probabilities of slope failure. Field measurements can be utilised to constrain probabilistic analyses, thereby reducing uncertainties and generally reducing...
journal article 2016
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Dong, J. (author), Steele-Dunne, S.C. (author), Ochsner, Tyson E. (author), van de Giesen, N.C. (author)
This study addresses two critical barriers to the use of Passive Distributed Temperature Sensing (DTS) for large-scale, high-resolution monitoring of soil moisture. In recent research, a particle batch smoother (PBS) was developed to assimilate sequences of temperature data at two depths into Hydrus-1D to estimate soil moisture as well as...
journal article 2016
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Schöbi, R. (author), Sudret, B. (author)
In geotechnical applications, mechanical properties of soil vary spatially within the soil mass and they are often represented by random fields. When data at certain locations of the soil mass are available, conditional random fields may be used to incorporate them. In this paper, we combine conditional random fields with sparse polynomial chaos...
conference paper 2015
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Nishimura, S-I. (author), Shibata, T. (author), Shuku, T. (author)
The spatial distribution of the strength inside an earth-fill dam is identified by sounding tests. In this research, the Swedish Weight Sounding (SWS) test is employed, and the spatially high-density test is possible to identify the spatial correlation structure by the SWS. The correlation structure of an earth-fill could be identified...
conference paper 2015
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Thajeel, J. (author), Al-Bittar, T. (author), Ahmed, A. (author), Soubra, A-H. (author)
The failure probability of geotechnical structures with spatially varying soil properties is generally computed using Monte Carlo simulation (MCS) methodology. This approach is well known to be very time-consuming when dealing with small failure probabilities. One alternative to MCS is the subset simulation approach. This approach was mainly...
conference paper 2015
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Nie, X. (author), Zhang, J. (author), Huang, H. (author), Liu, Z. (author), Lacasse, S. (author)
In the past few years, random field theory has been increasingly used to model the inherent soil variability. The scale of fluctuation is one of the important parameters describing a stationary random field. In this study, the factors affecting an accurate estimation of the scale of fluctuation were studied with numerical experiments to show how...
conference paper 2015
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Lundberg, A.B. (author), Li, Y. (author)
A full geotechnical risk analysis includes site investigation, model simplification and analysis. The site characterization forms the basis for the choice of the soil parameters used in the subsequent analysis, but the soil data is normally analyzed with crude methods that do not include the effect of the soil variability. A case study is here...
conference paper 2015
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Jiang, S. (author), Li, D. (author), Wei, B. (author)
The effect of probability distributions on the slope reliability is highlighted in this study since the lognormal distribution is often used to characterize the variability of soil properties to avoid negative values. A multiple response-surface based MCS method for slope reliability analysis in spatially variable soils is proposed. A...
conference paper 2015
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