Searched for: subject%3A%22reducing%22
(1 - 20 of 211)

Pages

document
Scheepmaker, Thomas (author)
In this thesis, a predictive non-intrusive reduced order model of a high-temperature gas-cooled reactor has been created. We first set out to create a representative multi-physics model coupling the neutronics and thermodynamics in the HTGR. To this end we first made a representative model of neutronics and thermodynamics separately in the HTGR....
master thesis 2024
document
Kukkola, Max (author)
Heterogeneous materials are vital for both the modern engineer and inquisitive scientist alike. They make up a vital material class that can either form inevitably as a result of material processing (such as crystallization in metals) or can be intentionally designed for to gain desirable properties (such as anisotropy in composites). As such,...
master thesis 2024
document
Zeelenberg, Pieter (author)
In the report the plate buckling verification for stiffened plates subjected to combinations of biaxial in-plane normal stress, in-plane shear stress and out-of-plane loads is performed based on Eurocodes and relevant literature. A normative panel is selected from the structure to go through the calculations step-by-step. As not much literature...
student report 2024
document
van Leeuwen, Hugo (author)
Steel manufacturing is a carbon intensive process, that is responsible for approximately 7% of the total global CO2 emissions. Therefore, TATA Steel IJmuiden aims to lower its carbon emissions. One way to bring down emissions, is to replace the existing blast furnace (BF) CO reduction process with the H2-based direct reduction of iron ore (DRI)....
master thesis 2024
document
van der Lee, Sean (author)
Many cities are implementing car-reducing measures to achieve goals related to livability, such as climate change reduction, air quality improvements, improved living space, improved health and safety and reduced costs. Policies at the local, national, and supranational levels affect the measures that cities can take. This thesis addresses the...
master thesis 2024
document
Buriani, Gioele (author)
This work introduces a novel methodology for the development of interpretable reduced-order dynamic models specifically tailored for jumping quadruped robots. Leveraging Symbolic Regression combined with autoencoder neural networks, the framework autonomously derives symbolic equations from data and fundamental physics principles capturing the...
master thesis 2024
document
Kljaić, Korina (author)
The thesis focuses on creating a solution aimed at reducing suffering in earthquake prone regions. The research done resulted in the development of Embrace, a wearable communication device designed to alleviate human suffering during seismic events in seismically active regions like Zagreb. Commencing with an exploration of challenges faced by...
master thesis 2024
document
Popi, George (author)
Nuclear power is increasingly seen as a potential solution to the decarbonization of the energy sector in the coming decades. However, one of the main causes of downtime for current-generation nuclear reactors is the phenomenon of Grid-To-Rod-Fretting (GTRF) inside the reactor core. This is predominantly caused by Fluid-Structure Interaction ...
master thesis 2024
document
Kiste, Amund (author)
Solving Partial Differential Equations (PDEs) in engineering such as Navier-Stokes is incredibly computationally expensive and complex. Without analytical solutions, numerical solutions can take ages to simulate at great expense. In order to reduce this cost, neural networks may be used to compute approximations of the solution for use during...
bachelor thesis 2024
document
Vollebregt, Madeleine (author), Mugge, R. (author), Thürridl, Carina (author), van Dolen, Willemijn (author)
Consumption is often considered important for achieving and maintaining well-being, particularly in current market societies. However, overconsumption is a significant driver of climate issues as it results in material scarcity and carbon emissions. Reduced consumption is one possible solution to environmental problems associated with climate...
review 2024
document
Zimmerling, J.T. (author), Druskin, Vladimir (author), Guddati, Murthy (author), Cherkaev, Elena (author), Remis, R.F. (author)
We present a reduced-order model (ROM) methodology for inverse scattering problems in which the ROMs are data-driven, i.e. they are constructed directly from data gathered by sensors. Moreover, the entries of the ROM contain localised information about the coefficients of the wave equation. We solve the inverse problem by embedding the ROM in...
journal article 2024
document
Azlouk, Manel (author), Basyooni-M.Kabatas, Mohamed A. (author), Eker, Yasin Ramazan (author), Zor, Erhan (author), Bingol, Haluk (author)
This study introduces the development of novel, flexible gas sensors operating at room temperature (RT), utilizing a graphene oxide (GO) via the modified Hummers' method and bacterial nanocellulose (BNC) composite to enhance gas detection in industrial and environmental settings. The composite materials, denoted as GO@BNC, were synthesized...
journal article 2024
document
Klein, R.B. (author), Sanderse, B. (author)
A novel hyper-reduction method is proposed that conserves kinetic energy and momentum for reduced order models of the incompressible Navier-Stokes equations. The main advantage of conservation of kinetic energy is that it endows the hyper-reduced order model (hROM) with a nonlinear stability property. The new method poses the discrete...
journal article 2024
document
Martinelli, Cristiano (author), Coraddu, A. (author), Cammarano, Andrea (author)
Lightweight structures, once ubiquitous in specific sectors such as aeronautics and space sectors, in recent years, have increasingly attracted the attention of industries that, historically, have not been particularly concerned with structural weight. Ample examples are provided by the civil and automotive industry, in which the paradigm...
journal article 2024
document
Keşkekler, A. (author)
Micro and nanomechanical resonators are essential to the state-of-the-art communication, data processing, timekeeping, and sensing systems. The discovery of graphene and other two-dimensional (2D) materials has been a profound source of inspiration for the next generation of these devices, owing to their exceptional mechanical, electrical, and...
doctoral thesis 2023
document
Pérez Moreno, Carlos (author)
FOWTs pose several control challenges. This work addresses reduced order modelling of FOWT to develop an MPC. They key objective is tackle the platform pitch instability while improving the performance in other KPIs. An existing reduced order model, which considers platform pitch and surge, and rotor speed DOFs is adapted and extended, with...
master thesis 2023
document
Dardor, Amre (author)
master thesis 2023
document
Bakker, Sanne (author)
Climate change has made us all aware of the urgent need for change. We know that governments, companies, and even us have a role to play in countering its effects. Sustainable consumer behavior usually involves things like eating less meat and cutting down on single-use plastics. However, what many people don’t realize is that the stuff we own,...
master thesis 2023
document
de Zeeuw, Nikki (author)
This graduation addresses the need to improve living conditions in informal settlements, while also preserving the cultural and social identity of the communities living there. The question of how to improve the living conditions in these settlements while also respecting the cultural and social identity of the residents is a complex one. It...
master thesis 2023
document
Bohnenn, Sylvie (author)
Computational power is a challenge when it comes to the high-fidelity modeling of nuclear reactors. Detailed simulations of reactor physics involve complex calculations that require significant computing resources, which can be time-consuming and expensive. Reduced Order Modeling (ROM) allows for an approximation of a complex model by only...
master thesis 2023
Searched for: subject%3A%22reducing%22
(1 - 20 of 211)

Pages