• 한국구조물진단유지관리공학회지
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• 제20권1호
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• pp.38-41
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• 2016

• 한국도로학회논문집
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• 제18권3호
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• pp.47-57
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• 2016

PURPOSES : This study aims to examine the differences between the existing traffic demand forecasting method and the traffic demand forecasting method considering future regional development plans and new road construction and expansion plans using a four-step traffic demand forecast for a more objective and sophisticated national highway maintenance. This study ultimately aims to present future pavement deterioration and budget forecasting planning based on the examination. METHODS : This study used the latest data offered by the Korea Transport Data Base (KTDB) as the basic data for demand forecast. The analysis scope was set using the Daejeon Metropolitan City's O/D and network data. This study used a traffic demand program called TransCad, and performed a traffic assignment by vehicle type through the application of a user equilibrium-based multi-class assignment technique. This study forecasted future traffic demand by verifying whether or not a realistic traffic pattern was expressed similarly by undertaking a calibration process. This study performed a life cycle cost analysis based on traffic using the forecasted future demand or existing past pattern, or by assuming the constant traffic demand. The maintenance criteria were decided according to equivalent single axle loads (ESAL). The maintenance period in the concerned section was calculated in this study. This study also computed the maintenance costs using a construction method by applying the maintenance criteria considering the ESAL. The road user costs were calculated by using the user cost calculation logic applied to the Korean Pavement Management System, which is the existing study outcome. RESULTS : This study ascertained that the increase and decrease of traffic occurred in the concerned section according to the future development plans. Furthermore, there were differences from demand forecasting that did not consider the development plans. Realistic and accurate demand forecasting supported an optimized decision making that efficiently assigns maintenance costs, and can be used as very important basic information for maintenance decision making. CONCLUSIONS : Therefore, decision making for a more efficient and sophisticated road management than the method assuming future traffic can be expected to be the same as the existing pattern or steady traffic demand. The reflection of a reliable forecasting of the future traffic demand to life cycle cost analysis (LCCA) can be a very vital factor because many studies are generally performed without considering the future traffic demand or with an analysis through setting a scenario upon LCCA within a pavement management system.

• 한국구조물진단유지관리공학회 논문집
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• 제7권1호
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• pp.199-206
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• 2003

This paper presents the fatigue life of transverse joint of concrete pavement with the fatigue model test. A 1/12 scale model was used to satisfy the geometric load, material similitude, which are variables to the skew angel of transverse joint. From the test results by fatigue load 700kgf applied, we can have that the fatigue life of transverse joint with skew angle is better than that of transverse joint without skew angle. In addition, we can have that the fatigue life of skewed transverse joint with angle of 10 degree is better than that of skewed transverse joint with angle of 20 degree.

• 한국구조물진단유지관리공학회 논문집
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• 제5권3호
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• pp.203-211
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• 2001

This paper presents load transfer efficiency of skewed transverse joint of jointed concrete pavement with the fatigue model test. A 1/12 scale model was used to satisfy the geometry, loading, material similitude, which are variables to the skew angel of transverse joint. As the test results by fatigue load 700kgf applied, the deflection and stress of transverse joint were decreased as to increasing of skew angle of transverse joint. In addition, load transfer efficiency of transverse joint with skew angle is better than the load transfer efficiency of transverse joint without skew angle.

• Geomechanics and Engineering
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• 제32권5호
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• pp.513-521
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• 2023

Temperature is one of the most critical elements that influence the rutting and fatigue resistance of flexible pavements. Particularly in extreme hot regions in Saudi Arabia, high temperature would significantly reduce the rutting resistance of flexible pavements leading to reduction of pavement service life. Due to the impacts of global warming, average temperature in Saudi Arabia is expected to further increase by about 4℃ by the end of the 21st century. The substantial increase in average temperature will elevate the expected pavement maintenance and rehabilitation cost. This paper analyzes the structural effects of temperature on pavement using layered elastic analysis based on finite element techniques. The research team calculated the potential loss of pavement service life due to the projected temperature increase and climate change. The paper also analyzed potential impact of using carbon waste in asphalt concrete to tackle the derogatory impacts of temperature rise.

• 한국재난정보학회 논문집
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• 제8권1호
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• pp.27-35
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• 2012

본 연구에서는 환경 문제로 대두되고 있는 도로 교통 소음을 저감하기 위한 노력으로 저소음 포장 공법인 마이크로 서피싱 포장 공법을 활용한 저소음 포장의 현장 적용과 소음 저감효과를 평가하고자 하였다. 마이크로 서피싱 포장의 적용을 위해 소음의 발생 메커니즘을 분석하고, 포장의 최적화를 위해 골재의 입형과 입도를 변경하고, 야간공사에 적합한 배합과 공법을 제시하였다. 소음 측정 결과 고정식 측정의 경우 2dB에서 7.1dB까지의 소음 저감효과가 측정되었다. 고정식 측정결과는 바람의 영향, 차량통행량 등의 다양한 변수가 작용하여 편차가 큰 것으로 예상된다. 또한, 이동식 측정의 경우는 80km/h의 시속에서 5.6dB 에서 6.7dB의 소음 저감효과가 있었다. 이동식 측정결과는 반복측정에 대한 편차가 비교적 적으며, 각각의 차선에서 측정된 결과로 일정하여 도로 포장의 소음 감소효과를 측정하는데 보다 합리적이라 판단된다. 따라서 마이크로 서피싱 포장의 소음 저감효과를 확인할 수 있었으며, 표면처리 공법으로 예방적 보수를 실시하여, 경제적이고 지속적인 저소음 포장으로서의 기능을 할 수 있을 것으로 평가된다.

• 한국지반환경공학회 논문집
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• 제22권10호
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• pp.13-19
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• 2021

아스팔트 포장의 균열은 날씨의 변화나 차량에 의한 충격으로 발생하며, 균열을 방치할 경우 포장 수명이 단축되고 각종 사고를 불러 일으킬 수 있다. 따라서 아스팔트 도로 포장의 균열을 빠르게 감지하여 보수조치를 취하기 위하여 이미지를 통해 균열을 자동으로 탐지하기 위한 연구들이 지속되어 왔다. 특히 최근들어 Convolutional Neural Network를 사용하여 아스팔트 도로 포장의 균열을 탐지하려는 모델들이 많이 연구되고 있으나, 고성능의 컴퓨팅 파워를 요구하기 때문에 실제 활용에는 한계가 있다. 이에 본 논문에서는 모바일 기기에 적용 가능한 스몰 딥러닝 모델을 적용하여 아스팔트 도로 포장의 균열을 탐지하는 모델의 개발을 위한 프레임워크를 제안한다. 사례연구를 통해 제안한 스몰 딥러닝 모델은 일반적인 딥러닝 모델들과 비교 연구되었으며, 상대적으로 적은 파라미터를 가지는 모델임에도 일반적인 딥러닝 모델들과 유사한 성능을 보였다. 개발된 모델은 모바일 기기나 IoT에 임베디드 되어 사용될 수 있을 것으로 기대된다.

• 한국구조물진단유지관리공학회 논문집
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• 제15권5호
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• pp.113-123
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• 2011

LCC 분석은 비용평가만을 위한 개별적인 방법이 아닌 가치 개선을 위해 기능평가와 상호 연계되어 이루어지는 방법이다. 점차 LCC 분석의 정확성은 높아지고 있으나 비교적 최근에 개발 적용되어진 재료나 형식들에서는 공용기간이 확보되지 않아 여전히 유지관리 이력을 추정하기가 어려워 신뢰도가 떨어진다. 이런 배경으로 본 연구는 유지관리 프로파일을 설정하기 어려운 대안들에 대해서 기능적인 증감사항이 비용과 연계되어 분석되어지는 LCC 방법론을 제시하고자 한다. 최근 강상판 교면포장은 중차량과 교통량의 증가로 소성변형 등 문제점이 발생하여 기존의 포장을 대체할 수 있는 새로운 혼합물포장의 개발이 활발히 이루어지고 있다. SMA, Guss 및 PSMA 포장을 사례로 들어 대안 간에 비교된 성능척도가 상대평가계수로써 유지관리 프로파일 항목에 포함되어 LCC 분석이 이루어졌다.

• 한국안전학회지
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• 제8권4호
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• pp.139-148
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• 1993

Thermosyphons are simple devices that can passively transport thermal energy over relatively long distance with little temperature degradation. These attributes permit the use of low grade thermal energy for thermal control of structures including the snow melting and deicing to the pavement surface. The thermosyphon system requires no costly energy input and Is completely maintenance free. This paper presents the experimental results of the snow melting system in which thermosyphon was utilized to transfer the geothermal energy to the pavement to obviate slipping traffic accidents due to freezing of pavement in winter.

• 한국도로학회논문집
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• 제15권1호
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• pp.11-21
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• 2013

PURPOSES: As pavement generally provides service shorter than an expected life cycle, maintenance cost increases gradually. In order to help extending the service life and reduce maintenance cost, a new multi-functional composite pavement system is being developed in Korea. METHODS: This study is a part to develop the multi-functional composite pavement and is to investigate the mechanical performances of fiber-reinforced lean concrete for pavement subbase. The inherent problem of fiber reinforced concrete is dispersion of fibers in concrete mix. This study additionally evaluated fiber dispersion characteristics with respect to different fiber types. RESULTS: From the test results, the compressive strengths of the concretes satisfied the required limit of 5MPa at 7days. The standard deviation of the measured number of fibers were lower in the order of nylon, steel fiber and polypropylene. CONCLUSIONS: Reject ash was shown to be satisfactory as a replacement material to Portland cement in lean concrete base. The fiber volume fraction is suggested to be 0.4% even though the fracture toughness did not vary significantly with respect to fiber types. However, fracture energy absorbed up to complete failure increased with the increased fiber volume fraction increment.