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2023 Vol.65, Issue 2 Preview Page
Surface Image Analysis for Evaluating Porosity and Permeability Coefficient of Permeable Concrete Block

투수 콘크리트 블록 공극률 및 투수계수 평가를 위한 표면 이미지 분석 기법 개발

Sangbeom Joa
,
Younghwan Sonb†
,
Donggeun Kimc
,
Jihun Jeond
,
Taejin Kime
조 상범a
,
손 영환b†
,
김 동근c
,
전 지훈d
,
김 태진e
aMS Student, Department of Rural Systems Engineering, Seoul National University
bProfessor, Department of Rural Systems Engineering and Research Institute for Agriculture and Life Sciences, Seoul National University
cPostdoctoral Researcher, Graduate School of Agriculture, Kyoto University
dPh.D. Student, Department of Rural Systems Engineering, Seoul National University
ePh.D. Student, Department of Rural Systems Engineering, Seoul National University
a서울대학교 농촌시스템공학과 MS 학생
b서울대 농생명과학연구소 농촌시스템공학과 교수
c교토 대학 대학원 농업 박사후 연구원
d서울대학교 농촌시스템공학과 박사과정 학생
e서울대학교 농촌시스템공학과 박사과정 학생
† Corresponding author Tel.: +82-2-880-4585, Fax: +82-2-873-2087 E-mail: syh86@snu.ac.kr
2023. pp. 47-57
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Abstract

The increase of impermeable area ratio is causing hydrologic cycle problems in urban areas and groundwater depletion in rural areas, permeable pavements are getting attention to expand permeable areas. The performance of the permeable concrete block pavement, which is part of the permeable pavement, is greatly affected by the porosity. In addition, the permeability coefficient is a major factor when designing permeable concrete block pavement. Existing porosity and permeability test methods have problems such as uneconomical or poor field applicability. The object of this study was to develop a methodology for evaluating porosity and permeability coefficient using a surface image of a permeable concrete block. Specimens are manufactured with various porosity ranges and porosity and permeability tests are performed. After surface image preprocessing, normalization and binarization methods were compared. Through this, the method with the highest correlation with the lab test result was determined. From the results, the PDR (pore determined ratio) was obtained. Simple linear regression analysis is performed with PDR and lab test results. The results showed a high correlation of R2 more than 0.8, and the errors were also low.

Keywords
Pervious concrete block
porosity
permeability
surface image
image processing
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Information
  • Publisher :The Korean Society of Agricultural Engineers
  • Publisher(Ko) :한국농공학회
  • Journal Title :Journal of Korean Society of Agricultural Engineers
  • Journal Title(Ko) :한국농공학회논문집
  • Volume : 65
  • No :2
  • Pages :47-57
  • Received Date : 2022-12-21
  • Revised Date : 2023-01-29
  • Accepted Date : 2023-01-31
  • DOI :https://doi.org/10.5389/KSAE.2023.65.2.047
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