Search
Now showing items 1-10 of 344
Diagnosis of the health status of mooring systems for floating offshore wind turbines using autoencoders
(2023-11-01)
Floating offshore wind turbines (FOWTs) show promise in terms of energy production, availability, and sustainability, but remain unprofitable due to high maintenance costs. This work proposes a deep learning algorithm to ...
Machine learning discovery of optimal quadrature rules for isogeometric analysis
(2023-11-01)
We propose the use of machine learning techniques to find optimal quadrature rules for the construction of stiffness and mass matrices in isogeometric analysis (IGA). We initially consider 1D spline spaces of arbitrary ...
Physics-guided deep-learning inversion method for the interpretation of noisy logging-while-drilling resistivity measurements
(2023-10)
Deep learning (DL) inversion is a promising method for real-Time interpretation of logging-while-drilling (LWD) resistivity measurements for well-navigation applications. In this context, measurement noise may significantly ...
Bridge damage identification under varying environmental and operational conditions combining Deep Learning and numerical simulations
(2023-10)
This work proposes a novel supervised learning approach to identify damage in operating bridge structures. We propose a method to introduce the effect of environmental and operational conditions into the synthetic damage ...
Geometric Hermite interpolation by rational curves of constant width
(2023-09-28)
A constructive characterization of the support function for a rationally parameterized curve of constant width is given. In addition, a Hermite interpolation problem for such kind of curves is solved, which yields a method ...
Numerical simulations of thixotropic semi-solid aluminium alloys in open-rotor and rotor-stator mixers
(2023-09-21)
This research uses the Bautista-Manero-Puig (BMP) model to examine flow patterns of semi-solid aluminium alloys (Al) in open-rotor and stator-rotor mixers via numerical solutions. The model captures the distinct ...
Computational Mesoscale Framework for Biological Clustering and Fractal Aggregation
(2023-09-11)
Hierarchical clustering due to diffusion and reaction is a widespread occurrence in natural phenomena, displaying fractal behavior with non-integer size scaling. The study of this phenomenon has garnered interest in both ...
Solving boundary value problems via the Nyström method using spline Gauss rules
(2023-08-01)
We propose to use spline Gauss quadrature rules for solving boundary value problems (BVPs) using the Nyström method. When solving BVPs, one converts the corresponding partial differential equation inside a domain into the ...
Aeroacoustic Analysis of a Closely Installed Chevron Nozzle Jet using the High-Order Discontinuous Galerkin Method
(2023-06-08)
In this paper, we use Large Eddy Simulations (LES) in combination with the Ffowcs Williams - Hawkings method to study the influence of chevrons on the flow field as well as the noise produced by a closely installed M = 0.6 ...
Towards $G^1$-continuous multi-strip path-planning for 5-axis flank CNC machining of free-form surfaces using conical cutting tools
(2023-06)
Existing flank milling path-planning methods typically lead to tiny gaps or overlaps between neighboring paths, which causes artifacts and imperfections in the workpiece. We propose a new multi-strip path-planning method ...