Quantification of Weathered Limestone Surfaces Using Fractal Methods

Alan Harris, Nick Hudyma, Stephanie Brown, Josh Oglesby

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Weathering of rock produces rough surfaces. Profiles from twenty-two weathered limestone specimens were obtained using a high-resolution laser profilometer. Profiles were quantified using five different fractal methods: Modified Divider, Box Counting, Spectral, Semi-Variance, and Roughness Length. The fractal methods provided both fractal dimension and fractal intercept for each of the profiles. The five methods yielded different ranges of fractal dimensions and fractal intercepts. Results of fractal quantification, with the exception of Roughness Length dimension, compared favorably with visual roughness classifications. Since weathering typically affects higher order asperities, the fractal dimension is the most appropriate fractal parameter to assess roughness from weathering. Of the five fractal methods, it was determined that the Spectral or Semi-Variance methods were best to assess weathering roughness. These methods consistently provided fractal dimensions between 1 and 2, compared favorably with visual classification of smooth and rough specimens, and provided a wide range of fractal dimension values.

Original languageEnglish
Title of host publicationSoutheastcon 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538661338
DOIs
StatePublished - 1 Oct 2018
Event2018 IEEE Southeastcon, Southeastcon 2018 - St. Petersburg, United States
Duration: 19 Apr 201822 Apr 2018

Publication series

NameConference Proceedings - IEEE SOUTHEASTCON
Volume2018-April
ISSN (Print)1091-0050
ISSN (Electronic)1558-058X

Conference

Conference2018 IEEE Southeastcon, Southeastcon 2018
Country/TerritoryUnited States
CitySt. Petersburg
Period19/04/1822/04/18

Keywords

  • Fractal
  • limestone
  • roughness

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