A simplified modeling method for multi-particle damper: Validation and application in energy dissipation analysis

Qianqing Wang
2022
Journal paper

Particle dampers have received considerable attention in recent years as a novel damping technique. However, due to its high degree of nonlinearity, no mature damping model has been constructed. This article proposes an equivalent raft model that takes into account both the three-dimensional geometry and the material property. The model is validated by comparing the benchmark results with experimental observations and to simulations using the discrete element method. The equivalent raft model predicts the behavior of the structure-damper system in the presence of ground motion. Additionally, it can compute the time evolution of particles' displacement and force in three different function modes. Moreover, the energy dissipation mechanism of particle damper is investigated using the suggested model to analyze the impact of load amplitude, load frequency, container size, particle mass, and particle material.

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Related concepts (7)

Related MOOCs (11)

Particle

In the physical sciences, a particle (or corpuscule in older texts) is a small localized object which can be described by several physical or chemical properties, such as volume, density, or mass. They vary greatly in size or quantity, from subatomic particles like the electron, to microscopic particles like atoms and molecules, to macroscopic particles like powders and other granular materials. Particles can also be used to create scientific models of even larger objects depending on their density, such as humans moving in a crowd or celestial bodies in motion.

Discrete element method

A discrete element method (DEM), also called a distinct element method, is any of a family of numerical methods for computing the motion and effect of a large number of small particles. Though DEM is very closely related to molecular dynamics, the method is generally distinguished by its inclusion of rotational degrees-of-freedom as well as stateful contact and often complicated geometries (including polyhedra). With advances in computing power and numerical algorithms for nearest neighbor sorting, it has become possible to numerically simulate millions of particles on a single processor.

Three-dimensional space

In geometry, a three-dimensional space (3D space, 3-space or, rarely, tri-dimensional space) is a mathematical space in which three values (coordinates) are required to determine the position of a point. Most commonly, it is the three-dimensional Euclidean space, the Euclidean n-space of dimension n=3 that models physical space. More general three-dimensional spaces are called 3-manifolds. Technically, a tuple of n numbers can be understood as the Cartesian coordinates of a location in a n-dimensional Euclidean space.

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