A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...
Heating and cooling account for around 40% of the UK’s energy demand, with decarbonisation in dense urban areas remaining a major challenge. Energy piles (EP), structural foundation elements equipped ...
PhD scholarship on an exciting project in collaboration with Network Rail on the development of next-generation finite element models for fatigue analysis of riveted railway bridges.
The objective of this study was to construct a three-dimensional finite element model of degenerative lumbar scoliosis (DLS) and validate its effectiveness, providing a reliable theoretical tool for ...
Abstract: This paper proposes a finite element (FE) based state-space model for evaluating AC winding losses in synchronous machines to be implemented in Simulink. The model is constructed by storing ...
Finite element human body model (HBM) positioning remains a challenge and automatic methods are essential to enable their effective use in a wide range of applications such as injury analysis in ...
Researchers have developed an innovative approach to predict the working status of high-formwork support systems (HFSS) by combining finite element model (FEM) simulations with deep learning and large ...
Abstract: When addressing large-scale electromagnetic problems using the finite element method (FEM), the resulting matrices are typically sparse, necessitating numerous sparse matrix-vector ...
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