Abstract
Smoothed dissipative particle dynamics (SDPD) is a mesoscopic particle method that allows to select the level of resolution at which a fluid is simulated. The numerical integration of its equations of motion still suffers from the lack of numerical schemes satisfying all the desired properties such as energy conservation and stability. Similarities between SDPD and dissipative particle dynamics with energy (DPDE) conservation, which is another coarse-grained model, enable adaptation of recent numerical schemes developed for DPDE to the SDPD setting. In this article, a Metropolis step in the integration of the fluctuation/dissipation part of SDPD is introduced to improve its stability.
| Original language | English |
|---|---|
| Pages (from-to) | 83-102 |
| Number of pages | 20 |
| Journal | Applied Mathematics and Mechanics (English Edition) |
| Volume | 39 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Jan 2018 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Metropolis algorithm
- numerical integration
- smoothed dissipative particle dynamics (SDPD)
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