International Journal of Highway Engineering (한국도로학회논문집)

Korean Society of Road Engineers (한국도로학회)
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Development of HPCI Prediction Model for Concrete Pavement Using Expressway PMS Database

고속도로 PMS D/B를 활용한 콘크리트 포장 상태지수(HPCI) 예측모델 개발 연구

  • 서영찬 (한양대학교 교통물류공학과) ;
  • 권상현 (한국도로공사 대관령지사 도로안전팀) ;
  • 정동혁 (한양대학교 교통물류공학과) ;
  • 정진훈 (인하대학교 토목공학과) ;
  • 강민수 (한국도로공사 인사처)
  • Received : 2017.10.24
  • Accepted : 2017.11.28
  • Published : 2017.12.15
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Abstract

PURPOSES : The purpose of this study is to develop a regression model to predict the International Roughness Index(IRI) and Surface Distress(SD) for the estimation of HPCI using Expressway Pavement Management System(PMS). METHODS : To develop an HPCI prediction model, prediction models of IRI and SD were developed in advance. The independent variables considered in the models were pavement age, Annual Average Daily Traffic Volume(AADT), the amount of deicing salt used, the severity of Alkali Silica Reaction(ASR), average temperature, annual temperature difference, number of days of precipitation, number of days of snowfall, number of days below zero temperature, and so on. RESULTS : The present IRI, age, AADT, annual temperature differential, number of days of precipitation and ASR severity were chosen as independent variables for the IRI prediction model. In addition, the present IRI, present SD, amount of deicing chemical used, and annual temperature differential were chosen as independent variables for the SD prediction model. CONCLUSIONS : The models for predicting IRI and SD were developed. The predicted HPCI can be calculated from the HPCI equation using the predicted IRI and SD.

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References

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