11   Artículos

 
en línea
Jun Yeong Kim, Chang Geun Song, Jung Lee, Jong-Hyun Kim, Jong Wan Lee and Sun-Jeong Kim    
In this paper, we propose a learning model for tracking the isolines of fluid based on the physical properties of particles in particle-based fluid simulations. Our method involves analyzing which weights, closely related to surface tracking among the va... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Chun Wang, Guanlin Ye, Xiannan Meng, Yongqi Wang and Chong Peng    
A two-fluid Eulerian?Lagrangian coupled model is developed to investigate the complex interactions between solid particles and the ambient water during the process of submerged granular column collapse. In this model, the water phase is considered to be ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Adamu Musa Mohammed, Mostapha Ariane and Alessio Alexiadis    
This study proposes a 3D particle-based (discrete) multiphysics approach for modelling calcification in the aortic valve. Different stages of calcification (from mild to severe) were simulated, and their effects on the cardiac output were assessed. The c... ver más
Revista: ChemEngineering    Formato: Electrónico

 
en línea
Octavio Navarro-Hinojosa and Moisés Alencastre-Miranda    
Modeling and simulation of the skeletal muscles are usually solved using the Finite Element method (FEM) which, although accurate, commonly needs a complex mesh and the solution is not processed in real-time. In this work, a meshfree model that simulates... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Selahattin Kocaman and Kaan Dal    
The floods following the event of a dam collapse can have a significant impact on the downstream environment and ecology. Due to the limited number of real-case data for dam-break floods, laboratory experiments and numerical models are used to understand... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Hossein Moayedi, Dieu Tien Bui, Mesut Gör, Biswajeet Pradhan and Abolfazl Jaafari    
In this paper, a neuro particle-based optimization of the artificial neural network (ANN) is investigated for slope stability calculation. The results are also compared to another artificial intelligence technique of a conventional ANN and adaptive neuro... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Pengfei Xue, David J Schwab, Xing Zhou, Chenfu Huang, Ryan Kibler and Xinyu Ye    
Current numerical methods for simulating biophysical processes in aquatic environments are typically constructed in a grid-based Eulerian framework or as an individual-based model in a particle-based Lagrangian framework. Often, the biogeochemical proces... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Iryna Patsora, Henning Heuer, Susanne Hillmann and Dmytro Tatarchuk    
Particle-based films are today an important part of various designs and they are implemented in structures as conductive parts, i.e., conductive paste printing in the manufacture of Li-ion batteries, solar cells or resistive paste printing in IC. Recentl... ver más
Revista: Coatings    Formato: Electrónico

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