Srinivasa Babu Ramisetti
École Polytechnique Fédérale de Lausanne
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Publication
Featured researches published by Srinivasa Babu Ramisetti.
Journal of Physics: Condensed Matter | 2011
Srinivasa Babu Ramisetti; Carlos Campañá; Guillaume Anciaux; Jean-François Molinari; Martin H. Müser; Mark O. Robbins
The spatial distribution of regions that lie above contours of constant height through a self-affine surface is studied as a function of the Hurst exponent H. If the surface represents a landscape, these regions correspond to islands. When the surface represents the height difference for contacting surfaces, the regions correspond to mechanical contacts in the common bearing area model. The autocorrelation function C(Δr) is defined as the probability that points separated by Δr are both within islands. The scaling of C has important implications for the stiffness and conductance of mechanical contacts. We find that its Fourier transform C(q) scales as a power of the wavevector magnitude q: [Formula: see text] with μ = 2 + H rather than the value μ = 2 + 2H reported previously. An analytic argument for μ = 2 + H is presented using the distribution of areas contained in disconnected islands.
Computer Physics Communications | 2017
Stephen M. Longshaw; Matthew K. Borg; Srinivasa Babu Ramisetti; Jun Zhang; Duncan A. Lockerby; David R. Emerson; Jason M. Reese
This paper introduces mdFoam+, which is an MPI parallelised molecular dynamics (MD) solver implemented entirely within the OpenFOAM software framework. It is open-source and released under the same GNU General Public License (GPL) as OpenFOAM. The source code is released as a publicly open software repository that includes detailed documentation and tutorial cases. Since mdFoam+ is designed entirely within the OpenFOAM C++ object-oriented framework, it inherits a number of key features. The code is designed for extensibility and flexibility, so it is aimed first and foremost as an MD research tool, in which new models and test cases can be developed and tested rapidly. Implementing mdFoam+ in OpenFOAM also enables easier development of hybrid methods that couple MD with continuum-based solvers. Setting up MD cases follows the standard OpenFOAM format, as mdFoam+ also relies upon the OpenFOAM dictionary-based directory structure. This ensures that useful pre- and post-processing capabilities provided by OpenFOAM remain available even though the fully Lagrangian nature of an MD simulation is not typical of most OpenFOAM applications. Results show that mdFoam+ compares well to another well-known MD code (e.g. LAMMPS) in terms of benchmark problems, although it also has additional functionality that does not exist in other open-source MD codes.
Fundamentals of friction and wear on the nanoscale (Submitted) | 2015
Srinivasa Babu Ramisetti; Guillaume Anciaux; Jean-François Molinari
Limitations of single scale approaches to study the complex physics involved in friction have motivated the development of multiscale models. We review the state-of-the-art multiscale models that have been developed up to date. These have been successfully applied to a variety of physical problems, but that were limited, in most cases, to zero Kelvin studies. We illustrate some of the technical challenges involved with simulating a frictional sliding problem, which by nature generates a large amount of heat. These challenges can be overcome by a proper usage of spatial filters, which we combine to a direct finite-temperature multiscale approach coupling molecular dynamics with finite elements. The basic building block relies on the proper definition of a scale transfer operator using the least square minimization and spatial filtering. Then, the restitution force from the generalized Langevin equation is modified to perform a two-way thermal coupling between the two models. Numerical examples are shown to illustrate the proposed coupling formulation.
Computer Methods in Applied Mechanics and Engineering | 2012
Guillaume Anciaux; Srinivasa Babu Ramisetti; Jean-François Molinari
Computer Methods in Applied Mechanics and Engineering | 2013
Srinivasa Babu Ramisetti; Guillaume Anciaux; Jean-François Molinari
International Journal for Numerical Methods in Engineering | 2014
Srinivasa Babu Ramisetti; Guillaume Anciaux; Jean-François Molinari
Physical Review Fluids | 2017
Srinivasa Babu Ramisetti; Matthew K. Borg; Duncan A. Lockerby; Jason M. Reese
Archive | 2018
Matthew K. Borg; Craig White; Stephen M. Longshaw; Srinivasa Babu Ramisetti; Jun Zhang; Benzi John; Thomas Scanlon; Duncan A. Lockerby; David R. Emerson; Jason M. Reese
Bulletin of the American Physical Society | 2016
Jason M. Reese; Srinivasa Babu Ramisetti; Matthew K. Borg; Duncan A. Lockerby
IUTAM Symposium, Innovative numerical approaches for materials and structures in multi-field and multi-scale problems | 2014
Jean-François Molinari; Till Junge; Srinivasa Babu Ramisetti; Guillaume Anciaux