Searched for: subject:"Kriging"
(1 - 20 of 22)

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Wang, Z. (author), Almeida, José Humberto S. (author), St-Pierre, Luc (author), Wang, Zhonglai (author), Castro, Saullo G.P. (author)
A reliability-based optimization framework is introduced and used to design filament-wound cylindrical shells with variable angle tow. Seven design cases are investigated to enable a comparison between constant-stiffness and variable angle tow designs, also considering effects of thickness variation created due to overlapping tow paths,...
journal article 2020
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Ma, H. (author), Zhao, Qile (author), Verhagen, S. (author), Psychas, D.V. (author), Dun, H. (author)
This contribution implements the Kriging interpolation in predicting the tropospheric wet delays using global navigation satellite system networks. The predicted tropospheric delays can be used in strengthening the precise point positioning models and numerical weather prediction models. In order to evaluate the performances of the Kriging...
journal article 2020
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Gaida, T.C. (author), Snellen, M. (author), van Dijk, Thaiënne A.G.P. (author), Simons, D.G. (author)
Extensive seabed sediment mapping is highly relevant to describe marine ecosystems and to quantify the distribution and extent of benthic habitats. Compared to traditional mapping methods, primarily based on bed sampling, multibeam echo sounding (MBES) is a time-efficient tool to acquire high-resolution bathymetric and backscatter data over...
journal article 2018
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Roy, V. (author), Simonetto, Andrea (author), Leus, G.J.T. (author)
We propose a sensor placement method for spatio-temporal field estimation based on a kriged Kalman filter (KKF) using a network of static or mobile sensors. The developed framework dynamically designs the optimal constellation to place the sensors. We combine the estimation error (for the stationary as well as non-stationary component of the...
journal article 2018
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Cecinati, Francesca (author), Moreno Rodenas, A. (author), Rico-Ramirez, Miguel A. (author), ten Veldhuis, Marie-claire (author), Langeveld, J.G. (author)
In urban hydrological models, rainfall is the main input and one of the main sources of uncertainty. To reach sufficient spatial coverage and resolution, the integration of several rainfall data sources, including rain gauges and weather radars, is often necessary. The uncertainty associated with rain gauge measurements is dependent on...
journal article 2018
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Belligoli, Z. (author), Dwight, R.P. (author), Kok, G. J.P. (author), Lucas, P. (author)
This paper presents an approach for updating the epistemic uncertainty of ultrasonic flow meter measurements under non-ideal flow conditions. Instead of re-calibrating the instrument to correct its behavior in these difficult working conditions, a Bayesian calibration of a computer model of the real process is used. The numerical model is...
journal article 2017
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Rehman, Samee (author), Langelaar, M. (author)
We present a novel approach for efficient optimization of systems consisting of expensive to simulate components and relatively inexpensive system-level simulations. We consider the types of problem in which the components of the system problem are independent in the sense that they do not exchange coupling variables, however, design...
journal article 2017
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Rehman, S.U. (author), Langelaar, M. (author)
A novel adaptive sampling scheme for efficient global robust optimization of constrained problems is proposed. The method addresses expensive to simulate black-box constrained problems affected by uncertainties for which only the bounds are known, while the probability distribution is not available. An iterative strategy for global robust...
journal article 2017
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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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Rehman, S.U. (author), Langelaar, M. (author)
Fabrication variations can have a detrimental effect on the performance of optical filters based on ring resonators. However, by using robust optimization these effects can be minimized and device yield can be significantly improved. This paper presents an efficient robust optimization technique for designing manufacturable optical filters based...
journal article 2016
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de Baar, J.H.S. (author), Roberts, S (author), Dwight, R.P. (author), Mallol, B. (author)
Uncertainty Quantication (UQ) for CFD-based ship design can require a large number of simulations, resulting in signicant overall computational cost. Presently, we use an existing method, multi-delity Kriging, to reduce the number of simulations required for the UQ analysis of the performance of a sailing yacht hull, considering uncertainties in...
journal article 2015
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Divya Priya, B. (author), Dodagoudar, G.R. (author)
Mapping surficial and subsurface conditions play an important role in analysis and design of geotechnical structures and facilities. Spatial distribution of depth to soil-bedrock interface has a prime significance in developing input ground motion at the surface and estimating damage potential of an earthquake. This paper deals with the...
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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Scholcz, T.P. (author)
The cost and turnaround time of the load calculation cycle in the design process of aircraft can be reduced by developing new numerical simulation technologies aimed at efficient prediction of steady and unsteady force coefficients in the flight envelope. In order to capture the most extreme stress levels due to gust and manoeuvres, efficient...
doctoral thesis 2015
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ur Rehman, S. (author), Langelaar, M. (author)
A novel technique for efficient global robust optimization of problems affected by parametric uncertainties is proposed. The method is especially relevant to problems that are based on expensive computer simulations. The globally robust optimal design is obtained by searching for the best worst-case cost, which involves a nested min-max...
journal article 2015
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De Baar, J.H.S. (author)
Both measurements and computer simulations of fluids introduce a prediction problem. A Particle Image Velocimetry (PIV) measurement of a flow field results in a discrete grid of velocity vectors, from which we aim to predict the velocity field or related quantities. In Computational Fluid Dynamics (CFD), the output of the computer code depends...
doctoral thesis 2014
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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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Teunissen, P.J.G. (author)
The minimum mean squared error (MMSE) criterion is a popular criterion for devising best predictors. In case of linear predictors, it has the advantage that no further distributional assumptions need to be made, other then about the first- and second-order moments. In the spatial and Earth sciences, it is the best linear unbiased predictor (BLUP...
journal article 2007
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Jeong, S. (author), Minemura, Y. (author), Obayashi, S. (author)
Diesel engine combustion chamber which reduces exhaust emission has been designed using CFD analysis and optimization techniques. In order to save computational time for design, the Kriging model, one of the response surface models, is adopted here. For the robust exploration, both the estimated function value of the model and its uncertainty...
conference paper 2006
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Obayashi, S. (author)
Multi-Objective Design Exploration (MODE) and its application are presented. MODE reveals the structure of the design space from the trade-off information and visualizes it as a panorama for Decision Maker. As an optimizer for MODE, Efficient Global Optimization (EGO) based on the Kriging model has been extended to Multi-EGO to solve multi...
conference paper 2006
Searched for: subject:"Kriging"
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