Porous materials are widely applied in the field of noise control owing to their ability to attenuate transmission and/or reflection of sound. Among these materials, activated carbon is of increasing interest due to its excellent absorption performance at low frequencies. In 2016, a rigid, triple porosity model for granular activated carbon (GAC) was proposed by Venegas and Umnova. In the proposed model, a sorption process was introduced to account for the effect of the smallest scale pores, which is correlated with the high absorption at low frequencies. To extend that model to account for the finite frame stiffness of the particle stack, a poro-elastic model for a stack of granular activated carbon is introduced here. The new model combines aspects of the Biot theory and the rigid GAC model. The stable computational approach proposed by Dazel et al. was followed when implementing the poro-elastic model. A fitting procedure based on particle swarm optimization (PSO) was applied to identify the parameters of proposed model that then yield predictions closely matching measurement of the absorption coefficient of rigid-backed activated carbon stacks.
Activated carbon, Sound absorption, Poro-elastic, Biot model, Modeling, Sorption effect
Acoustics and Noise Control
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