2005
DOI: 10.1016/j.jsv.2004.04.013
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Particle impact damping: effect of mass ratio, material, and shape

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Cited by 96 publications
(61 citation statements)
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“…The friction deceleration, µ, still appears to be a useful value for comparing the damping efficiency of sub-optimal granular dampers. The quadratic decay of energy with time in a granular system attached to a linear spring has been reported before [7,23,24,47]. Surprisingly, the same behavior is found also for rather different dampers such as thrust-based damping [48] and impact dampers [49][50][51][52].…”
Section: Phenomenological Model Of Granular Damperssupporting
confidence: 67%
“…The friction deceleration, µ, still appears to be a useful value for comparing the damping efficiency of sub-optimal granular dampers. The quadratic decay of energy with time in a granular system attached to a linear spring has been reported before [7,23,24,47]. Surprisingly, the same behavior is found also for rather different dampers such as thrust-based damping [48] and impact dampers [49][50][51][52].…”
Section: Phenomenological Model Of Granular Damperssupporting
confidence: 67%
“…Friend and Kinra [9] applied the particle damping method on cantilever beam and showed 50 % improvement in damping capacity with a very small weight penalty. Later, Marhadi and Kinra [18] extended particle impact damping (PID) method to cover different materials and established its effectiveness. The characterization of particle damping has also been attempted by Mao et al [17], using discrete element method which simulates the behavior of granular materials in three-dimension.…”
Section: Introductionmentioning
confidence: 99%
“…As reported in previous literatures [10,12,14,16,18,25,[30][31][32], we utilize a cantilever beam to imitate a primary system of single degree of freedom, as shown in Fig. 2.…”
Section: Modeling a Cantilever Beam With Fpidmentioning
confidence: 99%
“…Experimental and numerical methods are used to understand the physics of the PID. Experiments are conducted by Panossian [5,22], Papalou and Masri [23,24], Tomlinson et al [3], Saeki [25], Olson [26], Xu et al [27][28][29], Mao et al [30], Wu et al [31], Marhadi and Kinra [32], and Wong et al [33]. Most of the numerical simulations [18,25,26,30,33] are based on the discrete element method (DEM), which is initially proposed by Cundal and Strack [34].…”
Section: Introductionmentioning
confidence: 99%