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Mostrando ítems 341-350 de 389
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Estudio de los daños por fatiga en palas de aerogenerador
(Grupo Español de Fractura, 2007)
El presente trabajo tiene como objeto el estudio de los daños detectados en las palas de un aerogenerador de 300 Kw. Estos daños, consistentes en fisuras situadas en la zona de entronque de la raíz, han aparecido en las ...
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Neural network monitoring of resistance welding processes
(1994)
Control of weld quality is one of the most important and complex processes to be carried out on production lines. Neural networks have shown good results in fields such as modelling and control of physical processes. It ...
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Interatomic-Potential-Free, Data-Driven Molecular Dynamics
(Elsevier, 2023-10)
We present a Data-Driven (DD) paradigm that enables molecular dynamics calculations to be performed directly from sampled force-field data such as obtained, e. g., from ab initio calculations, thereby eschewing the ...
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Strain-tuning of transport gaps and semiconductor-to-conductor phase transition in twinned graphene
(Elsevier, 2022-08)
We show, through the use of the Landauer-Büttiker (LB) formalism and a tight-binding (TB) model, that the transport gap of twinned graphene can be tuned through the application of a uniaxial strain in the direction normal ...
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Evolution of the damage onset and morphology in [0/90n/0] laminates when increasing the ply thickness
(Elsevier, 2023)
In a previous paper, París et al [1], the authors proposed a physically based explanation (without employing fitting parameters) of the scale effect in composites, which gave a new insight on the in-situ strength concept. ...
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Understanding glioblastoma invasion using physically-guided neural networks with internal variables
(Public Library Science, 2022-04)
Microfluidic capacities for both recreating and monitoring cell cultures have opened the door to the use of Data Science and Machine Learning tools for understanding and simulating tumor evolution under controlled conditions. ...
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Acoustic waves scattered by elastic waveguides using a spectral approach with a 2.5D coupled boundary-finite element method
(Elsevier, 2019-09)
This work presents a two-and-a-half dimensional (2.5D) spectral formulation based on the finite element method (FEM) and the boundary element method (BEM) to study wave propagation in acoustic and elastic waveguides. The ...
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A humidity dose-CZM formulation to simulate new end-of-life recycling methods for photovoltaic laminates
(Elsevier, 2022-01)
Humidity and temperature greatly influence the degradation of interfacial adhesion in photovoltaic (PV) modules. Besides, for an accurate prediction of the required energy to peel off the different plies of end-of-life PV ...
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A powerful matrix formalism for stress singularities in anisotropic multi-material corners. Homogeneous (orthogonal) boundary and interface conditions
(Elsevier, 2022-06)
A computational code based on a semianalytic procedure for the determination of the characteristic exponents and the singular stress and displacement fields in multi-material corners is developed. Linear elastic anisotropic ...
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Game theory-based maximum likelihood method for finite-element-model updating of civil engineering structures
(Elsevier, 2023)
Finite element modelling is performed to numerically predict the behaviour of civil engineering structures. Due to the different assumptions adopted during the modelling phase, this initial model does not always ...