Computational Granular Dynamics: Models and Algorithms by Steven B. Karch MD FFFLM

By Steven B. Karch MD FFFLM

Laptop Simulations belong to crucial tools for the theoretical research of granular fabrics. the current ebook is meant to function an advent to the sphere. for that reason emphasis is on a common figuring out of the topic instead of at the presentation of contemporary advances in numerical algorithms. For the certainty of the numerical tools and algorithms uncomplicated wisdom of C++ is required, but the textual content has been stored available additionally for readers who, ultimately, favor a distinct programming language. whereas the booklet is extra on types than at the physics of granular fabric, many aplications to actual platforms are provided.

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Extra resources for Computational Granular Dynamics: Models and Algorithms

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Fig. 5. Snapshots of the outflowing hopper. The deformation of the stripes of marked particles visualizes the flow profile As a second example, a polydisperse granular material comprising N = 855 particles in a vertically vibrating container is simulated. 30). 4 cm) is added at the bottom of the container (see Fig. 6, left). The initialization file was produced in a similar way as described above. The wall particles are of type 5 and 6 (see p. 44 for reference). The container oscillates vertically according to B cos(Ωt) with Ω = 30/sec and B = 2 cm.

The main part of the computer time is spent on the evaluation of the forces which act on the particles in each time step. Consequently, using a less complicated integration algorithm cannot save much computer time. On the contrary, computer time is wasted by using a less stable numerical integrator since to achieve a comparable accuracy, a smaller time step is needed which increases the number of force evaluations. The Gear algorithm has another important advantage over many other integration schemes: in each time step only one evaluation of the interaction forces is required.

6 where the particle classes are described. This simple method of computing the interaction forces is presented here only to obtain a complete Molecular Dynamics program that represents, at minimum effort, the basis for more efficient algorithms. It is suitable only for very small systems of a few dozen particles. For larger numbers of particles, it becomes very inefficient since most of the N (N − 1)/2 pairs of particles do not interact and can be excluded from the force computation by simple means.

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