Searched for: subject:"random%5C+field"
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Varkey, D. (author), Hicks, M.A. (author), Vardon, P.J. (author)
An improved semi-analytical method for calculating the reliability of 3D slopes with spatially varying shear strength parameters is proposed. The response of an existing semi-analytical method has been compared with that of the computationally more intensive, but more general, random finite element method (RFEM), demonstrating that the simpler...
journal article 2019
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Jiang, Quanxin (author)
One of the most severe deteriorations in reinforced concrete structures is associated with reinforcement corrosion, where the corrosion distribution shows considerable spatial variability. In the existing investigations of spatial variability of corrosion on the reliability of reinforced concrete structures, symbolic expressions are used for the...
master thesis 2018
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Mandersloot, Jeroen (author)
Rare category detection is the task of discovering rare classes in unlabelled and imbalanced datasets. Existing algorithms focus almost exclusively on static data in which instances are assumed to be independent. In this thesis we propose an algorithm that is designed for temporal data. Specifically, we are interested in data with temporal...
master thesis 2018
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Feng, R. (author), Luthi, S.M. (author), Gisolf, A. (author), Angerer, Erika (author)
In this paper, geological prior information is incorporated in the classification of reservoir lithologies after the adoption of Markov random fields (MRFs). The prediction of hidden lithologies is based on measured observations, such as seismic inversion results, which are associated with the latent categorical variables, based on the...
journal article 2018
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Liu, K. (author), Vardon, P.J. (author), Hicks, M.A. (author)
A data assimilation framework, utilising measurements of pore water pressure to sequentially improve the estimation of soil hydraulic parameters and, in turn, the prediction of slope stability, is proposed. Its effectiveness is demonstrated for an idealised numerical example involving the spatial variability of saturated hydraulic...
journal article 2018
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Li, Y. (author), Hicks, M.A. (author), Vardon, P.J. (author)
A method of combining 3D Kriging for geotechnical sampling schemes with an existing random field generator is presented and validated. Conditional random fields of soil heterogeneity are then linked with finite elements, within a Monte Carlo framework, to investigate optimum sampling locations and the cost-effective design of a slope. The...
journal article 2016
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Van der Have, R.C. (author)
With more advanced methods and increasing computational power, the simulation of reinforced concrete in a Finite Element Analysis (FEA) has become more and more realistic. In a non-linear analysis of reinforced concrete, cracking behaviour and the maximum load-capacity can be determined. Such analyses sometimes suffer from unstable behaviour,...
master thesis 2015
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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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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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Papaioannou, I. (author), Straub, D. (author)
In many geotechnical projects, field data is used to determine the soil parameters. In most instances, however, the statistical analysis is performed ad hoc and the spatial distribution of this data is not (expclitly) accounted for. A more formal statistical approach allows to make better use of the data and combine it in a consistent manner...
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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Zhang, L. (author), Yan, W.M. (author)
Soil slopes are generally unsaturated in which the soil-water characteristic curve (SWCC) plays an important role in its hydro-mechanical response. The commonly used Mohr-Coulomb failure criterion in saturated soil mechanics could be extended to take SWCC into account which is then able to determine the shear strength of unsaturated soil. Like...
conference paper 2015
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Griffiths, D.V. (author), Huang, J. (author), Fenton, G.A. (author)
Using recently obtained deterministic results as a benchmark, probabilistic slope stability analyses have been performed on an undrained slope using the random finite element method (RFEM). Non-stationary random fields have been generated with linearly increasing mean undrained strength and a constant coefficient of variation. The influence of...
conference paper 2015
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Nadim, F. (author)
This paper presents an overview on how uncertainty and variability of mechanical soil properties are dealt with in offshore site investigation and presents some ideas for utilizing the reliability tools in a more optimal manner for this purpose. Two types of problems are addressed. First, how to extract the maximum amount of information from...
conference paper 2015
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Li, L. (author), Chu, X. (author)
The need for system failure probability, pf , of soil slope stability that takes into account the spatial variation of soil properties has been acknowledged by the geotechnical profession. The spatial variations of cohesion and friction angle for a c-ϕ soil slope were modeled by one dimensional vertical random field respectively. The cross...
conference paper 2015
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Zaskórski, L. (author), Pula, W. (author)
In this paper, the reliability assessment of the bearing capacity of a shallow strip footing was conducted using a reliability index β. In applicable standards (Eurocode 7) there is not presented any explicit method of an evaluation of characteristic values of soil parameters. Therefore some approaches of an estimation of characteristic values...
conference paper 2015
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Schweckendiek, T. (author)
Dikes and levees play a crucial role in flood protection in deltaic areas such as the Netherlands. Internal erosion piping or under-seepage is a major cause of levee failures and a main contributor to the probability of failure of river levees due to the large (mostly geotechnical) uncertainties. The present thesis investigates how geotechnical...
doctoral thesis 2014
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Kanning, W. (author)
Piping is an important failure mechanism of flood defense structures. A dike fails due to piping when a head difference causes first the uplift of an inland blanket layer, and subsequently soil erosion due to a ground water flow. Spatial variability of subsoil parameters causes the probability of piping failure to increase, often to unacceptable...
doctoral thesis 2012
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Van der Maaten, L.J.P. (author), Hendriks, E.A. (author)
In this paper, we investigate to what extent modern computer vision and machine learning techniques can assist social psychology research by automatically recognizing facial expressions. To this end, we develop a system that automatically recognizes the action units defined in the facial action coding system (FACS). The system uses a...
journal article 2011
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Van den Eijnden, A.P. (author)
Properties of soils are spatially variable and to describe the behaviour of soils as a response to loading, this variability appears crucial in giving the correct range of possible solutions for structure response. Because site investigation techniques only provide exact information at a limited part of the site, random field simulations are...
master thesis 2010
Searched for: subject:"random%5C+field"
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