Inverse Design of an Ultrasparse Dissipated-Sound Metacage by Using a Genetic Algorithm
Houyou Long, Yuanzhou Zhu, Ye Gu, Ying Cheng, Xiaojun Liu
Abstract
Deep-subwavelength sound-absorbing platforms with ventilation have demonstrated scientific significance and promising applicability. Available designs have remained severely restricted by the limited dissipation mechanisms for plane wavefronts, and elaborate geometries configured by extensive parametric sweeps. This work proposes a paradigm to realize a dissipated-sound metamaterial cage that can perfectly absorb omnidirectionally radiated cylindrical sound, via hybridizing resonant meta-atoms with geometrical parameters optimized by an inverse-design strategy. The proposal provides a perspective for designing a ventilated absorber to dissipate low-frequency sound.
Topics & Concepts
AcousticsDissipationInverseComputer scienceParametric statisticsGenetic algorithmParametric modelMetamaterialSound (geography)Optimal designPlane (geometry)Parametric designPhysicsOpticsMathematicsGeometryMachine learningStatisticsThermodynamicsAcoustic Wave Phenomena ResearchMetamaterials and Metasurfaces ApplicationsAerodynamics and Acoustics in Jet Flows