Searched for: subject%3A%22Kriging%22
(1 - 20 of 56)

Pages

document
Ciobotia, Ioana (author)
The present study, which was carried out in collaboration with GKN Fokker, focuses on incorporating bird strike crashworthiness requirements within a multidisciplinary optimization (MDO) framework. During the preceding three-month internship in the same company, a pivotal contribution to this project was the development of an Abaqus interface...
master thesis 2024
document
Meng, Zeng (author), Kong, Lin (author), Jiaxiang, Y. (author), Peng, Hao (author)
This paper proposes a new active learning method named as optimum-pursuing method (OPM) from the viewpoint of optimization theory, which aims to provide an effective tool for solving constrained optimization and reliability-based design optimization (RBDO) problems with low computation cost. It uses the cheap Kriging metamodel to replace the...
journal article 2024
document
Wenink, Robert (author)
Surrogate modelling techniques such as Kriging are a popular means for cheaply emulating the response of expensive Computational Fluid Dynamics simulations. These surrogate models are often used for exploring a parameterised design space and identifying optimal designs. Multi-fidelity Kriging extends the methodology to incorporate data of...
master thesis 2023
document
Di Giovanni, Alessia (author), Di Curzio, Diego (author), Pantanella, Davide (author), Picchi, Cristiana (author), Rusi, Sergio (author)
Recently, new numerical methods have been applied to weather data for the estimation of water budget, especially when the lack of measured data is considerable. Geostatistics is one of the most powerful approaches when it comes to studying spatially relevant natural phenomena, as it considers the spatial correlation among measurements over a...
journal article 2023
document
Varouchakis, Emmanouil A. (author), Solomatine, D.P. (author), Corzo Perez, Gerald A. (author), Jomaa, Seifeddine (author), Karatzas, George P. (author)
Successful modelling of the groundwater level variations in hydrogeological systems in complex formations considerably depends on spatial and temporal data availability and knowledge of the boundary conditions. Geostatistics plays an important role in model-related data analysis and preparation, but has specific limitations when the aquifer...
journal article 2023
document
Varkey, D. (author), Hicks, M.A. (author), van den Eijnden, A.P. (author)
Uncertainty is inevitable in the characterisation of a geotechnical site, especially due to the inherently heterogeneous nature of the ground. In this paper, a method for characterising a subsurface with limited cone penetration test (CPT) data is proposed. The method is based on integrating predictions of CPT parameters with a probabilistic...
journal article 2023
document
Wenink, Robert (author), van der Eijk, M. (author), Yorke-Smith, N. (author), Wellens, P.R. (author)
Surrogate modelling techniques such as Kriging are a popular means for cheaply emulating the response of expensive Computational Fluid Dynamics (CFD) simulations. These surrogate models are often used for exploring a parameterised design space and identifying optimal designs. Multi-fidelity Kriging extends the methodology to incorporate data...
journal article 2023
document
Ren, Chao (author), Tan, J. (author), Xing, Yihan (author)
Wave energy is considered one of the most potential renewable energy. In the last two decades, many wave energy converters (WECs) have been designed to harvest energy from the ocean. Different power take-off systems are developed to maximize the power generation of WECs. However, the estimation of the power matrix of the WECs and annual power...
journal article 2023
document
Bolin, David (author), Kirchner, K. (author)
We consider two Gaussian measures μ, ˜μ on a separable Hilbert space, with fractional-order covariance operators A<sup>−2β</sup> and Ã<sup>−2˜β</sup>, respectively, and derive necessary and sufficient conditions on A, Ã and β, ˜β &gt; 0 for I. equivalence of the measures μ and ˜μ, and II. uniform asymptotic optimality of linear predictions...
journal article 2023
document
Sadowy-Sadowski, Tomasz (author)
The concept of a spaceplane, a launch system that is a combination of an airplane and a rocket, is one of the most promising concepts of sustainable access to space. Along its trajectory, it experiences most extreme conditions with frequently opposing design requirements, making it one of the most complicated challenges in aerospace engineering....
master thesis 2022
document
MUHAMMAD RAYYAN, Rayyan (author)
Using an expensive-to-evaluate numerical model, such as a finite element method (FEM) model, is deemed unavoidable in solving modern geotechnical engineering problems. At the same time, the application of reliability analysis in dealing with uncertainties (e.g. soil properties) is increasing rapidly. This could pose a time-wise problem for an...
master thesis 2022
document
Ordeman, Sam (author)
Digital Soil Mapping (DSM) of soil types in geotechnical project areas is a top priority. These maps are often used in decision making and can have significant consequences related to costs and risks. Usually, these maps are generated by digital soil models that interpolate soil types at known locations. In practice, conventional spatial...
master thesis 2022
document
Di Curzio, Diego (author), Di Giovanni, Alessia (author), Lidori, Raffaele (author), Montopoli, Mario (author), Rusi, Sergio (author)
Accurate knowledge of the rain amount is a crucial driver in several hydrometeorological applications. This is especially true in complex orography territories, which are typically impervious, thus, leaving most mountain areas ungauged. Due to their spatial and temporal coverage, weather radars can potentially overcome such an issue. However,...
journal article 2022
document
Dos Santos, Rogério R. (author), Castro, Saullo G.P. (author)
The present study investigates how to apply continuous tow shearing (CTS) in a manufacturable design parameterization to obtain reduced imperfection sensitivity in lightweight, cylindrical shell designs. The asymptotic nonlinear method developed by Koiter is applied to predict the postbuckled stiffness, whose index is constrained to be...
journal article 2022
document
Kirchner, K. (author), Bolin, David (author)
Optimal linear prediction (aka. kriging) of a random field {Z(x)} x∈X indexed by a compact metric space (X, dX ) can be obtained if the mean value function m: X →R and the covariance function ∂: X × X →R of Z are known. We consider the problem of predicting the value of Z(x*) at some location x*∈ X based on observations at locations {xj }nj ...
journal article 2022
document
Yin, Jiapeng (author), Schleiss, M.A. (author), Wang, Xuesong (author)
The use of spectral polarimetric filters in the range-Doppler domain shows great promise for clutter mitigation in weather radar applications. One limitation of these filters is that they cannot deal with situations in which ground clutter and precipitation overlap. In this letter, we propose a new signal recovery technique based on kriging in...
journal article 2021
document
Varouchakis, Emmanouil A. (author), Hristopulos, Dionissios T. (author), Karatzas, George P. (author), Corzo Perez, GA (author), Diaz, Vitali (author)
Precipitation data are useful for the management of water resources as well as flood and drought events. However, precipitation monitoring is sparse and often unreliable in regions with complicated geomorphology. Subsequently, the spatial variability of the precipitation distribution is frequently represented incorrectly. Satellite...
journal article 2021
document
van den Eijnden, A.P. (author), Schweckendiek, T. (author), Hicks, M.A. (author)
A kriging-based metamodelling approach for analysing the structural reliability of a sheetpile wall in a dyke is formulated. This specific problem is characterised by high target reliabilities ((Formula presented.)) in combination with a noisy and incomplete numerical model response. Starting from the original formulation of active learning...
journal article 2021
document
Teixeira, Rui (author), Nogal Macho, M. (author), O'Connor, Alan (author)
The present work reviews the implementation of adaptive metamodeling for reliability analysis with emphasis in four main types of metamodels: response surfaces, polynomial chaos expansions, support vector machines, and Kriging models. The discussion presented is motivated by the identified spread and little interaction between metamodeling...
journal article 2021
document
Teixeira, Rui (author), Martinez-Pastor, Beatriz (author), Nogal Macho, M. (author), O'Connor, Alan (author)
The present work discusses an innovative approach to metamodeling in reliability that uses a field-transversal rationale. Adaptive metamodeling in reliability is characterized by its large spectra of models and techniques with different assumptions. As a result, the reliability engineer is frequently faced with the highly challenging task of...
journal article 2021
Searched for: subject%3A%22Kriging%22
(1 - 20 of 56)

Pages