Numerical prediction of sound scattering from surfaces with fractal geometry: A preliminary investigation

dc.contributor.authorBradley, David
dc.contributor.authorSnow, Erik O.
dc.contributor.authorRiegel, Kimberly A.
dc.contributor.authorNasipak, Zachary
dc.contributor.authorTerenzi, Andrew S.
dc.date.accessioned2025-08-28T16:10:48Z
dc.date.issued2014-01-04
dc.description161st Meeting Acoustical Society of America, 23–27 May 2011, Seattle, Washington
dc.description.abstractSound 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.sponsorshipThis 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.urihttps://pubs.aip.org/asa/poma/article/12/1/015010/994543/Numerical-prediction-of-sound-scattering-from
dc.format.extent10 pages
dc.genreconference papers and proceedings
dc.identifierdoi:10.13016/m2poub-7byk
dc.identifier.citationBradley, 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.urihttps://doi.org/10.1121/1.4862555
dc.identifier.urihttp://hdl.handle.net/11603/40042
dc.language.isoen
dc.publisherAIP
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Center for Space Sciences and Technology (CSST) / Center for Research and Exploration in Space Sciences & Technology II (CRSST II)
dc.rightsThis 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.rightsPublic Domain
dc.rights.urihttps://creativecommons.org/publicdomain/mark/1.0/
dc.subjectFractal surfaces
dc.subjectsound energy
dc.subjectacoustic diffuser
dc.titleNumerical prediction of sound scattering from surfaces with fractal geometry: A preliminary investigation
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0002-5109-9704

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