Computational Particle Mechanics
GENERAL OBJECTIVES: Computational Particle Mechanics (CPM) is a quarterly journal with the goal of publishing full-length original articles addressing the modeling and simulation of systems involving particles and particle methods. The goal is to enhance communication among researchers in the applied sciences who use "particles'' in one form or another in their research.
SPECIFIC OBJECTIVES: Particle-based materials and numerical methods have become wide-spread in the natural and applied sciences, engineering, biology. The term "particle methods/mechanics'' has now come to imply several different things to researchers in the 21st century, including:
(a) Particles as a physical unit in granular media, particulate ﬂows, plasmas, swarms, etc.,
(b) Particles representing material phases in continua at the meso-, micro-and nano-scale and
(c) Particles as a discretization unit in continua and discontinua in numerical methods such as
Discrete Element Methods (DEM), Particle Finite Element Methods (PFEM), Molecular Dynamics (MD), and Smoothed Particle Hydrodynamics (SPH), to name a few.
CPM will focus on the above topics. We welcome works in a variety of applications including, but not limited to:
(a) Particulate and granular flow problems motivated by high-tech industrial processes such as those stemming from spray, deposition and printing processes
(b) Fluid-structure interaction problems accounting for free surface flow effects in civil and marine engineering (water jets, wave loads, ship hydrodynamics, debris flows, etc.),
(c) Coupled multiphysical phenomena involving solid, fluid, thermal, electromagnetic and optical systems
(d) Material design/functionalization using particles to modify base materials,
(e) Manufacturing processes involving forming, cutting, compaction, material processing,
(f) Biomedical engineering, involving cell mechanics, molecular dynamics and scale-bridging and
(g) Impact resulting in fracture and fragmentation.
An explicit/implicit Runge–Kutta-based PFEM model for the simulation of thermally coupled incompressible flows
Artificial neural network-based prediction of effective thermal conductivity of a granular bed in a gaseous environment
Smoothed particle hydrodynamics (SPH) simulation of impinging jet flows containing abrasive rigid bodies
- Journal Title
- Computational Particle Mechanics
- Volume 1 / 2014 - Volume 6 / 2019
- Print ISSN
- Online ISSN
- Springer International Publishing
- Additional Links
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