• Title/Summary/Keyword: Optimized-rehabilitation area method

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An Analysis of Maintenance Cost of Preventive Optimized-Rehabilitation Area Method in Asphalt Concrete Pavement (예방적 최소단면 보수공법 적용 아스팔트 도로포장의 유지관리 비용분석)

  • Kim, Nak-Seok;Hong, Eun-Cheol
    • Journal of the Korean Society of Hazard Mitigation
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    • v.9 no.4
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    • pp.45-51
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    • 2009
  • The paper presents the economic analysis of optimized-rehabilitation area method considered as one of the preventive maintenance methods in asphalt concrete pavement. The optimized-rehabilitation area was selected based on the analysis of traffic lane characteristics. The main concept of the selected method was to minimize the maintenance cost. The effective width of traffic lane in this method was 70 cm of each wheel path. According to the traffic survey conducted in this research, more than 95% of vehicles passed within the width of each wheel path. The new preventive optimized-rehabilitation area method showed less maintenance cost than the conventional overlay. In addition, traffic congestions and the user cost can be reduced. The research results revealed that the total maintenance cost was reduced by 35% by using the new method compare to the conventional one.

Development of Approximate Cost Estimate Model for Aqueduct Bridges Restoration - Focusing on Comparison between Regression Analysis and Case-Based Reasoning - (수로교 개보수를 위한 개략공사비 산정 모델 개발 - 회귀분석과 사례기반추론의 비교를 중심으로 -)

  • Jeon, Geon Yeong;Cho, Jae Yong;Huh, Young
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.33 no.4
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    • pp.1693-1705
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    • 2013
  • To restore old aqueduct in Korea which is a irrigation bridge to supply water in paddy field area, it is needed to estimate approximate costs of restoration because the basic design for estimation of construction costs is often ruled out in current system. In this paper, estimating models of construction costs were developed on the basis of performance data for restoration of RC aqueduct bridges since 2003. The regression analysis (RA) model and case-based reasoning (CBR) model for the estimation of construction costs were developed respectively. Error rate of simple RA model was lower than that of multiple RA model. CBR model using genetic algorithm (GA) has been applied in the estimation of construction costs. In the model three factors like attribute weight, attribute deviation and rank of case similarity were optimized. Especially, error rate of estimated construction costs decreased since limit ranges of the attribute weights were applied. The results showed that error rates between RA model and CBR models were inconsiderable statistically. It is expected that the proposed estimating method of approximate costs of aqueduct restoration will be utilized to support quick decision making in phased rehabilitation project.