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Sea ice drift --- Discrete element method --- Computer simulation --- Forecasting
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Granular materials --- Discrete element method. --- Particles --- Mathematical models. --- Mathematical models.
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Numerical Simulation of Brash Ice is a research project carried out to develop a numerical tool, which is capable of simulating the ships navigating through a brash ice channel. The tool is based on Discrete Element Method and current version is simulating the problem in model scale due to ease of validation. Properties of the ice channel, 3D mesh of structure, propeller characteristics and open water resistance data have to be input to the code. Output consists of numerical results of ice loads on ship, ship velocity and acceleration, pitch and roll angles of ship and graphical output of interaction of ice particles with ship. In order to calibrate the parameters of the code, standard cylinder experiment was simulated and results were compared with the experimental results. Different parameters of the simulation were changed and sensitivity of the results were studied. Graphical output of the simulation was also compared with underwater camera footage. General behaviour of the ice particles were identical in the vicinity of the structure. However the ice loads on structure had discrepancies. Simulation of an Ice Class Tanker was also carried out. Simulation parameters were set to match the actual ship model experiment. Results were compared with experimental values and under water videos. In this case also ice loads tend to be higher than expected. However particle behaviour near hull is acceptable. Cause for high ice loads was identified as deficiency in modelling the behaviour of far field ice particles in current tool. Simulation tend to overestimate the particle motions in far field due to the deficiencies in implemented friction model. (Cundall-Strack Friction). Therefore more work has to be done in order to improve the friction model in simulation environment. Further a more complex Ice-Structure interaction algorithm can improve the quality of results as well. In conclusion the current tool is suitable for obtaining qualitative results on ship navigating in brash ice channel in early design stage. Specially to visualize the ice particle flow around ship hull and identify possible concentration of ice particles especially around appendages
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Sea ice drift --- Sea ice drift --- Discrete element method --- Sea ice drift --- Sea ice drift --- Computer simulation --- Forecasting
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Offering a comprehensive treatment of adhesive particle flows, this book adopts a particle-level approach oriented toward directly simulating the various fluid, electric field, collision, and adhesion forces and torques acting on the particles, within the framework of a discrete-element model. It is ideal for professionals and graduate students working in engineering and atmospheric and condensed matter physics, materials science, environmental science, and other disciplines where particulate flows have a significant role. The presentation is applicable to a wide range of flow fields, including aerosols, colloids, fluidized beds, and granular flows. It describes both physical models of the various forces and torques on the particles as well as practical aspects necessary for efficient implementation of these models in a computational framework.
Granular flow. --- Adhesion. --- Discrete element method. --- Distinct element method --- Discrete mathematics --- Finite element method --- Adsorption --- Cohesion --- Particle flow --- Particulate flow --- Fluid dynamics
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Proceedings of the Pavement Mechanics Symposium at the 15th ASCE Engineering Mechanics Conference, held in New York, New York, June 4, 2002. This Geotechnical Special Publication contains 15 technical papers covering recent advances in the characterization and modeling of materials used in pavement systems. Topics include: subgrade soil and aggregate base/subbase materials characterization, asphalt concrete mixes and their constitutive modeling, pavement systems modeling, and use of artificial neural networks in pavement modeling. The analysis methods include both finite and discrete element modeling techniques, artificial neural networks, microstructural analysis, stiffness matrix approach for dynamic pavement analysis, and curve fitting and statistical parameter estimation techniques. Different methods of laboratory and field testing are included, namely: triaxial, asphalt tension, asphalt x-ray tomography imaging, asphalt binder, nondestructive pavement, accelerated pavement, and field bender element method. Engineers working within geotechnical and transportation facilities, who have a special interest in pavement mechanics, will find this publication of particular interest.
Road materials --- Pavements, Asphalt --- Soil mechanics --- Materials characterization --- Pavements --- Construction materials --- Asphalt pavements --- Material mechanics --- Discrete element method --- Dynamic analysis --- Network analysis
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Proceedings of the Third International Conference on Discrete Element Methods, held in Santa Fe, New Mexico on September 23-25, 2002. This Geotechnical Special Publication contains 72 technical papers on discrete element methods (DEM), a suite of numerical techniques developed to model granular materials, rock, and other discontinua at the grain scale. Topics include: DEM formulation and implementation approaches, coupled methods, experimental validation, and techniques, including three-dimensional particle representations, efficient contact detection algorithms, particle packing schemes, and code design. Coupled methods include approaches to linking solid continuum and fluid models with DEM to simulate multiscale and multiphase phenomena. Applications include fundamental investigations of granular mechanics; micromechanical studies of powder, soil, and rock behavior; and large-scale modeling of geotechnical, material processing, mining, and petroleum engineering problems.
Granular materials --- Particles --- Discrete element method --- Chemical & Materials Engineering --- Engineering & Applied Sciences --- Materials Science --- Numerical models --- Numerical methods --- Geotechnical models --- Material properties --- Coupling --- Mathematical models
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Computer Science --- Physical & Theoretical Chemistry --- Engineering & Applied Sciences --- Chemistry --- Physical Sciences & Mathematics --- Molecular dynamics. --- Discrete element method. --- High performance computing. --- HPC (Computer science) --- Electronic data processing --- Cyberinfrastructure --- Supercomputers --- Distinct element method --- Discrete mathematics --- Finite element method --- Dynamics, Molecular --- Dynamics
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This book introduces the use of the distinct element method (DEM) in modeling crowd behavior and simulating evacuation processes. Focusing on the mathematical computation of the uncertain behavior of evacuees, which is switching action behavior, it subsequently reproduces the crowd evacuation process under several conjectural scenarios using a DEM-based multi-agent model that has been modified by introducing the switching action behavior. The proposed switching action behavior model describes a person who has to change his/her destination due to the limited space capacity of the designated evacuation area. The change in the destination of a person is determined according to the motion of other individuals in the perception domain during the defined switching action time. The switching action time is formulated in the so-called switching action function, which is described by a convolution integral of the input and unit response functions. The newly developed switching action model is then validated using sensitivity analysis in which the primary focus is the crowd motion and flow of switching action behavior.
Collective behavior --- Discrete element method. --- Mathematical models. --- Engineering. --- Computer simulation. --- Numerical analysis. --- Computational Intelligence. --- Simulation and Modeling. --- Numerical Analysis. --- Mathematical analysis --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Construction --- Industrial arts --- Technology --- Computational intelligence. --- Intelligence, Computational --- Artificial intelligence --- Soft computing
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