Numerical prediction of sound scattering from surfaces with fractal geometry: A preliminary investigation
| dc.contributor.author | Bradley, David | |
| dc.contributor.author | Snow, Erik O. | |
| dc.contributor.author | Riegel, Kimberly A. | |
| dc.contributor.author | Nasipak, Zachary | |
| dc.contributor.author | Terenzi, Andrew S. | |
| dc.date.accessioned | 2025-08-28T16:10:48Z | |
| dc.date.issued | 2014-01-04 | |
| dc.description | 161st Meeting Acoustical Society of America, 23–27 May 2011, Seattle, Washington | |
| dc.description.abstract | Sound diffusive and scattering surfaces can be implemented in architectural spaces to improve the acoustical qualities of the space, particularly by attenuating the effects of harsh reflections and by producing a more diffuse sound field. These surfaces typically are effective only for a limited range of frequencies, dependent on the scale of the surface geometry. Given the broad frequency range of human hearing, an ideal diffuser would provide scattering across many frequencies. There is a direct relationship between surface roughness size and the wavelength of the scattered sound; therefore, scale-invariant fractal surfaces can be useful in achieving this ideal. In this study, virtual 1-D fractal surfaces have been generated using the Random Midpoint Displacement (RMD) algorithm. A BEM method to simulate the sound diffusive properties of these surfaces was developed and some preliminary results are presented. | |
| dc.description.sponsorship | This material is based upon work supported by the National Science Foundation under Grant No. 1055268. Other funding sources for this work include the Undergraduate Research Summer Institute (URSI) at Vassar College, the Vassar College Center for Collaborative Approaches to Science (CCAS) funded by the Howard Hughes Medical Institute (HHMI) Undergraduate Science Education Grant 52006322, and the Vassar College Research Committee. Thank you to Derek R. Olson, a Vassar College alumnus who assisted with writing earlier versions of the fractal generation and BEM code scripts | |
| dc.description.uri | https://pubs.aip.org/asa/poma/article/12/1/015010/994543/Numerical-prediction-of-sound-scattering-from | |
| dc.format.extent | 10 pages | |
| dc.genre | conference papers and proceedings | |
| dc.identifier | doi:10.13016/m2poub-7byk | |
| dc.identifier.citation | Bradley, David, Erik O. Snow, Kimberly A. Riegel, Zachary D. Nasipak, and Andrew S. Terenzi. “Numerical Prediction of Sound Scattering from Surfaces with Fractal Geometry: A Preliminary Investigation.” Proceedings of Meetings on Acoustics 12, no. 1 (2014): 015010. https://doi.org/10.1121/1.4862555. | |
| dc.identifier.uri | https://doi.org/10.1121/1.4862555 | |
| dc.identifier.uri | http://hdl.handle.net/11603/40042 | |
| dc.language.iso | en | |
| dc.publisher | AIP | |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Center for Space Sciences and Technology (CSST) / Center for Research and Exploration in Space Sciences & Technology II (CRSST II) | |
| dc.rights | This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law. | |
| dc.rights | Public Domain | |
| dc.rights.uri | https://creativecommons.org/publicdomain/mark/1.0/ | |
| dc.subject | Fractal surfaces | |
| dc.subject | sound energy | |
| dc.subject | acoustic diffuser | |
| dc.title | Numerical prediction of sound scattering from surfaces with fractal geometry: A preliminary investigation | |
| dc.type | Text | |
| dcterms.creator | https://orcid.org/0000-0002-5109-9704 |
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