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Simulating nanoscale particle and polymer suspensions using a coupled lattice-Boltzmann and Langevin-dynamics approach
| Content Provider | Semantic Scholar |
|---|---|
| Author | Liu, Zixiang Zhu, Yuanzheng Clausen, Jonathan R. Lechman, Jeremy B. Rao, Rekha Ranjana Aidun, Cyrus K. |
| Copyright Year | 2018 |
| Abstract | A hybrid computational method coupling the lattice-Boltzmann (LB) method and a Langevin-dynamics (LD) method is developed to simulate nanoscale particle and polymer (NPP) suspensions in the presence of both thermal fluctuation and long-range many-body hydrodynamic interactions (HI). Brownian motion of the NPP is explicitly captured by a stochastic forcing term in the LD method. The LD method is two-way coupled to the non-fluctuating LB fluid through a discrete LB forcing source distribution to capture the longrange HI. To ensure intrinsically linear scalability with respect to the number of particles, an Eulerian-host algorithm for short-distance particle neighbor search and interaction is developed and embedded to LB-LD framework. The validity and accuracy of the LB-LD approach are demonstrated through several sample problems. The simulation results show good agreements with theory and experiment. The LB-LD approach can be favorably incorporated into complex multiscale computational frameworks for efficiently simulating multiscale, multicomponent particulate suspension systems such as complex blood suspensions. |
| File Format | PDF HTM / HTML |
| DOI | 10.1002/fld.4752 |
| Alternate Webpage(s) | https://arxiv.org/pdf/1801.02299v4.pdf |
| Alternate Webpage(s) | https://doi.org/10.1002/fld.4752 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
