1,465 research outputs found
WCSPH for modelling multiphase flows and natural hazards
Among the numerous types of meshless particle methods, SPH is successfully applied to simulate complex multiphase flows with impact involving fluids with high-density ratio as well as non-Newtonian fluids. These problems are concern in the applied engineering dealing with water related natural hazards, such as landslide induced tsunami in artificial reservoir, intense rainfall induced shallow landslides. This contribution aims at providing an overview on the recent applications of the standard weakly compressible WCSPH for modelling these kinds of multiphase flows. The relevant aspects related with the interface treatment and numerical stability in high density multiphase flow will be discussed. Advanced modelling aspects connected with the SPH simulation of non-Newtonian fast dense granular flows and the interaction with pore water. The aspect of tuning model parameters is discussed
FLUKA study of the actinides induced irradiation damage in Zircaloy-4 cladding during interim dry storage
Modeling of the distribution of electric discharge between metal balls in the aqueous solution
Focus on diffusion MR investigations of musculoskeletal tissue to improve osteoporosis diagnosis: A brief practical review
Nowadays, a huge number of papers have documented the ability of diffusion magnetic resonance imaging (D-MRI) to highlight normal and pathological conditions in a variety of cerebral, abdominal, and cardiovascular applications. To date, however, the role of D-MRI to investigate musculoskeletal tissue, specifically the cancellous bone, has not been extensively explored. In order to determine potentially useful applications of diffusion techniques in musculoskeletal investigation, D-MRI applications to detect osteoporosis disease were reviewed and further explained
Application of Advanced Estimation Techniques to a Chemical Plant Model
The paper is aimed at comparing some of the most promising and novel advanced techniques for estimation by assessing their effectiveness on the chemical process benchmark. Global and distributed implementations of the extended Kalman filter are the key elements of the work. In addition, the paper is also aimed at describing and developing a recursive implementation of the autocovariance least square algorithm for the on-line updating of the tuning knobs of the filter, demonstrating its relevance in the performance monitoring of chemical processes
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