Searched for: subject%3A%22multiscale%255C+method%22
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Klaessen, Alexander (author)
There is a need to examine the potential of alternative methods such as Variational Multiscale Method (VMM) for the ability to improve the efficiency of combustion simulations. However the computational expense of a LES run of a 3D turbulent non-premixed combustion problem is high due to the large variety of length and time scales in turbulent...
master thesis 2023
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Costa Farinha, Daniel (author)
A new multiscale fracture mechanics methodology is being developed at TU Delft for composite materials. This methodology aims to unlock the use of hierarchical multiscale frameworks to link sub-ply fracture processes to laminate failure. In this thesis, this methodology is extended to 3D, both in terms of its analytical formulation and the...
master thesis 2023
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Ramesh Kumar, K. (author), Tene, Matei (author)
Subsurface flow simulation is vital for many geoscience applications, including geoenergy extraction and gas (energy) storage. Reservoirs are often highly heterogeneous and naturally fractured. Therefore, scalable simulation strategies are crucial to enable efficient and reliable operational strategies. One of these scalable methods, which...
journal article 2023
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Ramesh Kumar, K. (author), Tasinafo Honório, H. (author), Hajibeygi, H. (author)
Successful transition to renewable energy supply depends on the development of cost-effective large-scale energy storage technologies. Renewable energy can be converted to (or produced directly in the form of) green gases, such as hydrogen. Subsurface formations offer feasible solutions to store large-scale compressed hydrogen. These...
conference paper 2023
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Shrestha, Suyash (author)
Structure-preserving or mimetic discretisations are a class of advanced discretisation techniques derived by employing concepts from differential geometry. Such techniques can attain specific conservation properties at the discrete level such as conservation of mass, kinetic energy, etc when applied to conservation laws. However, like...
master thesis 2022
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Janssens, M. (author), Hulshoff, S.J. (author)
Data-driven parameterizations offer considerable potential for improving the fidelity of General Circulation Models. However, ensuring that these remain consistent with the governing equations while still producing stable simulations remains a challenge. In this paper, we propose a combined Variational-Multiscale (VMS) Artificial Neural...
journal article 2022
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Chen, Linfeng (author), Hulshoff, S.J. (author), Dong, Yuhong (author)
The underlying physical mechanism of the residual-based large eddy simulation (LES) based on the variational multiscale (VMS) method is clarified. Resolved large-scale energy transportation equation is mathematically derived for turbulent kinetic energy budget analysis. Firstly, statistical results of benchmark turbulent channel flow at Re...
journal article 2022
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Rajampeta, Sharath (author)
The use of Large Eddy Simulations(LES) in industry is steadily increasing as the complexity of the problems are increasing. However there remains a potential for significant improvements in LES. The Variational Multiscale Method(VMM) introduced by Hughes et al. (1998) provides a more consistent framework for turbulence modelling. The use of an...
master thesis 2021
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Ramesh Kumar, K. (author), Hajibeygi, H. (author)
Subsurface geological formations provide giant capacities for large-scale (TWh) storage of renewable energy, once this energy (e.g. from solar and wind power plants) is converted to green gases, e.g. hydrogen. The critical aspects of developing this technology to full-scale will involve estimation of storage capacity, safety, and efficiency...
journal article 2021
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Stoter, Stein K.F. (author), ten Eikelder, M.F.P. (author), de Prenter, Frits (author), Akkerman, I. (author), van Brummelen, E. Harald (author), Verhoosel, Clemens V. (author), Schillinger, Dominik (author)
We show that in the variational multiscale framework, the weak enforcement of essential boundary conditions via Nitsche's method corresponds directly to a particular choice of projection operator. The consistency, symmetry and penalty terms of Nitsche's method all originate from the fine-scale closure dictated by the corresponding scale...
journal article 2021
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Peng, Bo (author)
The Pearl River Delta region includes nine cities in Guangzhou, Foshan, Zhaoqing, Shenzhen, Dongguan, Huizhou, Zhuhai, Zhongshan and Jiangmen in Guangdong Province, with a total area of 56,000 square kilometers. It is one of the three largest urban agglomerations in China with the most developed industry and the densest population. Among them,...
master thesis 2020
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Pusuluri, Abhinand (author)
An effective way to solve the forced Burgers' equation in a variational multiscale framework is to close the system of equations using unresolved-scale interaction terms predicted by an artificial neural network. The goal of this thesis is to investigate the accuracy and stability of the said system by training a neural network offline with data...
master thesis 2020
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ten Eikelder, M.F.P. (author), Bazilevs, Y. (author), Akkerman, I. (author)
In this paper we show that the variational multiscale method together with the variation entropy concept form the underlying theoretical framework of discontinuity capturing. The variation entropy [M.F.P. ten Eikelder and I. Akkerman, Comput. Methods Appl. Mech. Engrg. 355 (2019) 261-283] is the recently introduced concept that equips total...
journal article 2020
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Shen, Zhongwei (author)
This master thesis presents the computation of free-surface flow phenomena with emphasis on ship hydromechanics. We perform a simulation of the heave and the pitch motion of the DTMB 5415M ship moving in head sea. To this purpose we employ an existing Arbitrary-Lagrangian-Eulerian residual-based variational multiscale method (ALE-RBVMS) to...
master thesis 2019
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Janssens, Martin (author)
Today's leading projections of climate change predicate on Atmospheric General Circulation Models (GCMs). Since the atmosphere consists of a staggering range of scales that impact global trends, but computational constraints prevent many of these scales from being directly represented in numerical simulations, GCMs require "parameterisations'' -...
master thesis 2019
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Robijns, Michel (author)
This thesis is part of a greater effort to use machine learning for the development of flexible and universal unresolved-scale models in large eddy simulation (LES). The novelty in the current work is that a neural network learns to predict the integral forms of the unresolved-scale terms directly without a priori assumptions on the underlying...
master thesis 2019
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Jesus de Moraes, R. (author), Fonseca, Rahul-Mark (author), Helici, Mircea A. (author), Heemink, A.W. (author), Jansen, J.D. (author)
We present an efficient workflow that combines multiscale (MS) forward simulation and stochastic gradient computation - MS-StoSAG - for the optimization of well controls applied to waterflooding under geological uncertainty. A two-stage iterative Multiscale Finite Volume (i-MSFV), a mass conservative reservoir simulation strategy, is employed as...
journal article 2019
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Jesus de Moraes, R. (author), de Zeeuw, W. (author), R. P. Rodrigues, José (author), Hajibeygi, H. (author), Jansen, J.D. (author)
We introduce a semi-analytical iterative multiscale derivative computation methodology that allows for error control and reduction to any desired accuracy, up to fine-scale precision. The model responses are computed by the multiscale forward simulation of flow in heterogeneous porous media. The derivative computation method is based on the...
journal article 2019
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SUAREZ MILLAN, RUBEN (author)
With a fast increasing use of composite materials in aerostructures, industry demands design tools capable to reduce experimental tests while providing reliable data. Multiscale simulations enable to model and analyze fracture processes at the microscale, thus delivering higher accuracy and fundamental information about crack processes which...
master thesis 2018
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Giesen Loo, Erik (author)
Multiscale computational homogenization is an efficient method to upscale the microstructural behavior of micro-heterogeneous materials. In this method, a representative volume element (RVE) is assigned to a macroscale material point and the constitutive law for the macroscopic model at that point is obtained by solving a boundary value problem...
master thesis 2018
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