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Isogeometric boundary element methods for three dimensional static fracture and fatigue crack growth
(Elsevier, 2017)
We present a novel numerical method to simulate crack growth in 3D, directly from the Computer-Aided Design (CAD)
geometry of the component, without any mesh generation. The method is an isogeometric boundary element ...
Recent near-surface temperature trends in the Antarctic Peninsula from observed, reanalysis and regional climate model data
(Science Press, 2020)
This study investigates the recent near-surface temperature trends over the Antarctic Peninsula. We make use of available surface observations, ECMWF's ERA5 and its predecessor ERA-Interim, as well as numerical simulations, ...
Antithetic random fields applied to mine planning under uncertainty
(Elsevier Ltd, 2018)
Traditional practice in mine planning often relies on estimation techniques that fail to account for the intrinsicuncertainty of geology and grades, which may have significant consequences in the mine operation. Dealing ...
Acceleration of the Geostatistical Software Library (GSLIB) by code optimization and hybrid parallel programming
(Elsevier, 2015)
The Geostatistical Software Library (GSLIB) has been used in the geostatistical community for more than thirty years. It was designed as a bundle of sequential Fortran codes, and today it is still in use by many practitioners ...
Geostatistical simulation to map the spatial heterogeneity of geomechanical parameters: A case study with rock mass rating
(Elsevier, 2016)
A better characterization of complex rock masses is essential in geotechnical engineering, as the empirical systems widely used for this purpose have significant limitations and do not provide adequate answers for risk ...
A Platform Supporting the Implementation of Collaborative Learning through Participatory Simulations
(Springer-Verlag, 2008)
Student motivation is a key aspect in achieving successful collaborative
learning. In the past, some techniques which help to engage the students in
a motivating learning activity have been proposed. Among them, ...
Predicting bubble size and bubble rate data in water and in froth flotation-like slurry from computational fluid dynamics (CFD) by applying deep neural networks (DNN)
(Pergamon-Elsevier, 2016)
Accurate characterization of two phase bubbly flows is crucial in many industrial processes such as fluidized reactors, ore froth flotation, etc. The bubble size determines the rate at which components present in the gas ...
Methodological approach for defining frequency related grid requirements in low-carbon power systems
(IEEE, 2020)
Moving towards low-carbon electricity systems through the massive deployment of
renewable energy sources (RES) presents a unique opportunity to combat climate change, but it also poses
enormous technical challenges, ...
A review on computational fluid dynamics modelling in human thoracic aorta
(Universidad Autónoma de Occidente, 2013-06)
It has long been recognized that the forces and stresses produced by the blood flow on the walls of the cardiovascular system are central to the development of different cardiovascular diseases. ...