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2024 Vol.42, Issue 2 Preview Page

Article

Life Expectancy and LCCA using Deterioration Model of Road Sections

공용성 모델 기반 도로의 기대수명 산정과 생애주기비용 분석

Myungsik DO1*
,
Taeyoung LEE2
,
Minhyeok LEE3
,
Seunghyun CHOI4
도 명식1*
,
이 태영2
,
이 민혁3
,
최 승현4
1Professor, Department of Urban Engineering, Hanbat National University, Daejeon 34158, Korea
2Special Researcher, Chungbuk Disaster Safety Research Institute, Chungbuk Research Institute, Cheongju 28517, Korea
3Master Course, Department of Urban Engineering, Hanbat National University, Daejeon 34158, Korea
4Chief Researcher, Korea Research Institute of Transportation Industries, Seoul 06703, Korea
1한밭대학교 도시공학과 교수
2충북연구원 충북재난안전연구센터 전문연구원
3한밭대학교 도시공학과 석사과정
4한국운수산업연구원 책임연구원
*Corresponding Author
30 April 2024. pp. 168-179
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Abstract

This study acquired road pavement monitoring data by Mobile Mapping System (MMS) capable of constructing 3D spatial data. In addition, cracks were detected using artificial intelligence on the photo data obtained from MMS. In order to develop a model of fracture rate detected, a commonality model based on the annual average crack amount and a commonality model using the Bayesian Markov Mixture Hazard model were developed. As a result of estimating the life expectancy for the crack grade, it was derived as 7.810 years, and when the annual average crack amount was derived, it could be converted into about 3.8% of the damage amount per year. In addition, Life Cycle Cost Analysis (LCCA), such as maintenance method selection and maintenance cost, was conducted. As a result of the analysis, it was found that the application of the micro-pacing method, a public corporation for preventive maintenance, was the most advantageous. In the future, if the road maintenance monitoring and economic analysis of this study are used, it is expected to be used as a scientific basis when establishing related surveys.

Keywords
bayesian markov mixture hazard model
deterioration model
LCCA
life expectancy
MMS

본 연구는 도로관리를 위해 3D 공간 데이터 구축이 가능한 Mobile Mapping System(MMS)를 활용하여 도로 포장 모니터링 데이터를 취득하였다. 또한, MMS으로부터 획득된 사진 데이터를 인공지능을 활용해 도로노면에 있는 균열을 검지하였다. 검지된 균열률 파손모델을 개발하고자 연평균 파손량 기반의 공용성 모델과 계층적 베이지안 마르코프 혼합 해저드(Bayesian Markov Mixture Hazard) 모델을 활용한 공용성 모델을 개발하였다. 균열상태등급에 대한 기대수명 추정결과 7.810년으로 도출되었고, 연평균 파손량을 도출할 경우 연간 약 3.8%의 파손량으로 변환이 가능하였다. 또한, 유지보수 공법 선정 및 유지관리 비용 등 생애주기비용분석을 진행하였다. 분석 결과 예방적 유지보수 공법인 마이크로서페이싱 공법의 적용이 가장 유리한 것으로 도출되었다. 향후 본 연구의 도로 유지보수 모니터링 및 경제성 분석을 활용한다면 관련 계획 수립 시 과학적 근거로 활용될 것으로 기대된다.

키워드
베이지안 마르코프 혼합 해저드 모델
공용성 모델
생애주기비용 분석
기대수명
모바일매핑시스템
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Information
  • Publisher :Korean Society of Transportation
  • Publisher(Ko) :대한교통학회
  • Journal Title :Journal of Korean Society of Transportation
  • Journal Title(Ko) :대한교통학회지
  • Volume : 42
  • No :2
  • Pages :168-179
  • Received Date : 2023-12-13
  • Revised Date : 2024-01-18
  • Accepted Date : 2024-03-08
  • DOI :https://doi.org/10.7470/jkst.2024.42.2.168
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