Inverse design of acoustic metasurfaces using space-filling points

التفاصيل البيبلوغرافية
العنوان: Inverse design of acoustic metasurfaces using space-filling points
المؤلفون: Arvind Krishna, Steven R. Craig, Chengzhi Shi, V. Roshan Joseph
المصدر: Applied Physics Letters. 121:071701
بيانات النشر: AIP Publishing, 2022.
سنة النشر: 2022
مصطلحات موضوعية: Physics and Astronomy (miscellaneous)
الوصف: Acoustic metasurfaces are two-dimensional materials that impart non-trivial amplitude and phase shifts on incident acoustic waves at a predetermined frequency. While acoustic metasurfaces enable extraordinary wavefront engineering capabilities, they are not developed well enough to independently control the amplitude and phase of reflected and transmitted acoustic waves simultaneously, which are governed by their geometry. We aim to solve the inverse design problem of finding a geometry to achieve a specified set of acoustic properties. The geometry is modeled by discretizing the continuous space into a finite number of elements, where each element can either be filled with air or solid material. Full wave simulations are performed to obtain the acoustic properties for a given geometry. It is computationally infeasible to simulate all geometries. To address this challenge, we develop an experimental design-based algorithm to efficiently perform the simulations. The algorithm starts with a few geometries and adaptively adds geometries to the set, such that they fill the entire space of the desired acoustic properties using a small fraction of the possible geometries. We find that the geometry needs to have at least 7 × 7 elements to obtain any given acoustic property with a tolerance of 5.4% of its maximum range. This is achieved by simulating 24 000 geometries using the proposed algorithm, which is only [Formula: see text] of the 563 × 1012 possible geometries. The method provides a general solution to the inverse design problem that can be extended to control more acoustic properties.
تدمد: 1077-3118
0003-6951
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::dca21fe8fdecf7367266e00e9e2c96dbTest
https://doi.org/10.1063/5.0096869Test
رقم الانضمام: edsair.doi...........dca21fe8fdecf7367266e00e9e2c96db
قاعدة البيانات: OpenAIRE