• Title/Summary/Keyword: 평탄인자

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Analysis of Concrete Flexural Strength and Surface Smoothness for Concrete Pavement Performance Based Payment Regulations (콘크리트 포장의 공용성 기반 지불규정 적용을 위한 콘크리트 휨강도 및 표면 평탄성에 관한 분석)

  • Hwang, Seong-Jae;Kim, Seong-Min;Rhee, Suk-Keun
    • International Journal of Highway Engineering
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    • v.11 no.4
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    • pp.95-105
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    • 2009
  • This study was conducted to investigate the effects of concrete flexural strength and surface smoothness, which were pay factors of concrete pavements, on pavement performance, and to develop the methodologies to determine the proper allowable ranges according to the magnitudes of those pay factors. The concrete flexural strength was analyzed using the AASHTO, power, and linear fatigue failure models, and the surface smoothness was analyzed for the roughness indices of PSI, IRI, and PrI using the AASHTO model. The analysis results showed that the allowable range of the flexural strength should be determined using the rate between the deficiency and strength, and the penalty should be linearly proportional to the strength deficiency rate because the linear relationship between the strength deficiency rate and the reduction in pavement life was observed. As the initial surface smoothness became better, the smoothness deficiency rate should be larger. The penalty due to the surface smoothness deficiency should also be linearly proportional to the smoothness deficiency rate.

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Development of Roughness-Model for Jointed Plain Concrete Pavements in Express Highway (고속도로 줄눈 콘크리트 포장의 평탄성 모델 개발)

  • Park, Young-Hoon;Chon, Beom-Jun;Kim, Young-Kyu;Lee, Seung-Woo
    • International Journal of Highway Engineering
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    • v.12 no.2
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    • pp.9-16
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    • 2010
  • Roughness is the most important factor to maintain the road performance, and affects greatly on the design life in Jointed Plain Concrete pavements. Also, the factors the evaluate pavement‘s commonality is the three method such as functionality, safety and structural performance. In evaluating function of road, representative factors is the roughness, which has been used to determine maintenance time as key standard. As research for roughness is absence in pavement design. Applied roughness-model had a low-reliability in Korea. Therefore, it is needed to develop reliable model in road roughness. In this research, uniform specific is applied to distribute them after selecting the concrete pavements. Concrete pavement is divided by sections of 238. Total length of this sections has 281km and account for 16% of total road length in korean concrete pavements for selected sections. Considering the korean roughness-model, the evaluation of roughness is performed for the freezing index, average annual rainfall, condition for the base, the amount of traffic as well as spalling(%), cracking(%), age(year) at the selected section at the selected section. Also, additional sections is selected to evaluate various age which affects on the roughness. As a result of the analysis, it showed that spalling(%), cracking(%), age(year), and the condition of the base affected road roughness. When the correlation with the road roughness was analyzed, the reliable model for road roughness was proposed, and the ratio that can explain road roughness was R2-68.8% and P value-0 which is statistically meaningful.

Discrete element analysis for design modification of leveling blade on motor grader vehicle (모터 그레이더 평탄작업용 블레이드의 설계개선을 위한 개별요소법 해석)

  • Song, Chang-Heon;Oh, Joo-Young;Cho, Jung-Woo;Kim, Mun-Gyu;Seok, Jeong-Ho
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.23 no.6
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    • pp.423-438
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    • 2021
  • The blade of motor grader is used for scattering and leveling the aggregates on the foundation of road construction site. The paper performed a design improvement research of the blade part to enhance the working efficiency of motor graders. The scattering works of aggregates by blade driving were simulated by DEM (discrete element method) of a dynamic code. The four design parameters were selected and a specific leveling scenario for the simulation was determined. The nine blade models were numerically experimented, and the sensitivity of each factors was analyzed. Next, the design factors that influence a blade performance have been selected by ANOVA, and these key design factors were applied to the progressive quadratic response surface method (PQRSM). The optimum set of design factors of the blade was finally proposed.

Feasibility Study the Assessment Factor of Quality Performance Index in Expressway Concrete Pavement (고속도로 콘크리트 포장에 대한 품질평가지수 평가인자의 적정성 검토)

  • Lee, Seung Woo;Kim, Gyung il;Ko, Dong Sig;Hong, Seung Ho
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.37 no.1
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    • pp.133-141
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    • 2017
  • Traffic volume increases according to highway expansion and industrial development which causes repetitive defect and durability degradation on pavement. The research of quality assurance system used abroad has introduced Korea. Korea Expressway Corporation (KEC) has developed a Quality Performance Index (QPI) that quantitatively assesses the level of quality of the final product, and practical applications. Assessment factor on concrete pavement consisted of pavement thickness, compressive strength, IRI and spacing factor. Assessment factor on concrete pavement is determined by empirical evaluation factor from abroad. In this study, analysis of evaluation factors of concrete pavement by using pavement life prediction simulation and measured data were evaluated with consideration of feasibility of the assessment factor. Pavement life, performance and durability are affected by pavement thickness, compressive strength, IRI and spacing factor in assessment factor on concrete pavement, QPI.

Temperature Compensated Fiber Optic Vibration Sensors for Pavement Roughness Monitoring (도로평탄성 모니터링용 온도보상형 광섬유진동센서)

  • Kim, Ki-Soo;Yoo, In-Koon;Kim, Je-Won
    • 한국방재학회:학술대회논문집
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    • 2010.02a
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    • pp.89.2-89.2
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    • 2010
  • 고속도로에서 주행속도가 높아지게 되면, 도로의 노면 상태에 따라 차량의 안전과 쾌적한 운전자의 환경이 변화될 수 있다. 이처럼 도로의 노면 상태를 결정하는 주된 인자는 도로의 평탄성과 소성변형에 의한 노면의 요철이라고 할 수 있다. 평탄하지 못한 도로를 자동차가 고속으로 주행하게 되면, 자동차의 속도에 의한 도로와의 마찰이 발생하여 자동차에는 매우 큰 흔들림이 발생하게 된다. 또한, 도로의 경우에도 자동차의 차축과 도로면에서 발생하는 충격에 의해 미세한 진동이 발생하게 된다. 그리고 광섬유 브래그 격자(FBG)센서는 외부에서 작용하는 매우 미세한 물리량에 의한 변화의 측정이 가능한 매우 우수한 계측 센서로 사용이 가능하기 때문에 온도보상형 광섬유진동센서를 제작하였고, 이를 고속도로 포장면의 평탄성 모니터링에 활용하고자 하였다.

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Pavement Roughness Monitoring using Fiber Optic Vibration Sensors (광섬유진동센서를 이용한 도로 평탄성 모니터링)

  • Kim, Ki-Soo;Yoo, In-Koon;Kim, Je-Won
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2010.04a
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    • pp.791-794
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    • 2010
  • 고속도로에서 주행속도가 높아지게 되면, 도로의 노면 상태에 따라 차량의 안전과 쾌적한 운전자의 환경이 변화될 수 있다. 이처럼 도로의 노면 상태를 결정하는 주된 인자는 도로의 평탄성과 소성변형에 의한 노면의 요철이라고 할 수 있다. 평탄하지 못한 도로를 자동차가 고속으로 주행하게 되면, 자동차의 속도에 의한 도로와의 마찰이 발생하여 자동차에는 매우 큰 흔들림이 발생하게 된다. 또한, 도로의 경우에도 자동차의 차축과 도로면에서 발생하는 충격에 의해 미세한 진동이 발생하게 된다. 그리고 광섬유 브래그 격자(FBG)센서는 외부에서 작용하는 매우 미세한 물리량에 의한 변화의 측정이 가능한 매우 우수한 계측 센서로 사용이 가능하기 때문에 온도보상형 광섬유진동센서를 제작하였고, 이를 고속도로 포장면의 평탄성 모니터링에 활용하고자 하였다.

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Band-gap energy (Eo) measurements of semi-insulating GaAs by photoreflectance (Photoreflectance에 의한 반절연성 GaAs의 띠간격 에너지(Eo)측정)

  • 배인호;김말문;이정열;김인수;김기홍
    • Electrical & Electronic Materials
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    • v.7 no.6
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    • pp.490-495
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    • 1994
  • We investigated photoreflectance of semi-insulating GaAs with respect to modulation sources, that is, modulation beam intensity, modulation frequency, temperature, and thickness of sample. PR spectra by each modulation source turned out to be signals of low electric field third differential, and band gap values of sample were fitted by least square root method for Aspnes' theoretical equation.

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Electro-chemical Mechanical deposition for the planarization of Cu film (Cu 배선의 평탄화를 위한 ECMD에 관한 연구)

  • Jeong, Suk-Hoon;Seo, Heon-Duk;Park, Boum-Young;Lee, Hyun-Seop;Jung, Jae-Woo;Park, Jae-Hong;Jeong, Hae-Do
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2005.07a
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    • pp.649-650
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    • 2005
  • 반도체는 고집적화, 고속도화, 저전력화를 목적으로 발전하고 있다. 이를 위하여 design rule의 감소, 새로운 물질과 프로세스의 적용 등 많은 연구가 이루어지고 있으며, RC delay time을 줄이기 위한 Cu 와 저유전율 재료의 적용이 그 대표적인 예라 할 수 있다. Cu 배선은 기존의 Al 배선에 비하여 높은 전자이동 (electro-migration)과 응력 이동 (stress-migration) 저항을 가짐으로써 전기적인 성능 (electrical performance) 에서 이점을 가지고 있다. 반도체에서의 Cu 배선 구조는 평탄화된 표면 및 배선들 사이에서의 좋은 전기적인 절연성을 가져야 하며, 이는 디싱(dishing)과 에로젼(erosion)의 중요한 인자가 된다. 기존의 평탄화 공정인 Cu CMP(Chemical Mechanical Polishing)에 있어서 이러한 디싱, 에로전과 같은 결함은 선결되어져야 할 문제로 인식되고 있다. 따라서 본 연구에서는 이러한 결합들을 감소시키기 위한 새로운 평탄화 방법으로 Cu gap-filling 을 하는 동시에 평탄화된 표면을 이루는 ECMD(Electro-Chemical Mechanical Deposition) 공정의 전기적 기계적 특성을 파악하였다.

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KALIMER 우라늄금속핵연료노심의 평형주기 설계인자 변경 연구

  • 김상지;김영인;김영진;박창규
    • Proceedings of the Korean Nuclear Society Conference
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    • 1998.05a
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    • pp.64-69
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    • 1998
  • KALMER 우라늄 금속핵연료노심의 평형주기에 대하여 주기길이, 농측도, 중식비의 관점에서 설계인자 변경에 따른 변화를 분석하였다. 유효노심높이, 반경방향 블랑캣의 batch수, 개스팽창모듈(GEM)의 적용성, 노용기내핵 연료저장(IVS)의 사용. 핵연료핀의 직경 증가 둥에 대한 설계 변경이 고려되었다. 본 연구결과를 통하여, 평탄화된 출력분포 및 핵연료의 이용도 향상을 기하면서 설계변경이 타 분야에 미치는 영향을 최소화하고 본래 KALMER의 안전성을 유지하고자 핵연료핀의 직경을 증가시킨 fat pellet 설계방안을 채택하였다

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Development of Pavement Distress Prediction Models Using DataPave Program (DataPave 프로그램을 이용한 포장파손예측모델개발)

  • Jin, Myung-Sub;Yoon, Seok-Joon
    • International Journal of Highway Engineering
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    • v.4 no.2 s.12
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    • pp.9-18
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    • 2002
  • The main distresses that influence pavement performance are rutting, fatigue cracking, and longitudinal roughness. Thus, it is important to analyze the factors that affect these three distresses, and to develop prediction models. In this paper, three distress prediction models were developed using DataPave program which stores data from a wide variety of pavement sections In the United States. Also, sensitivity studies were conducted to evaluate how the input variables impact on the distresses. The result of sensitivity study for the prediction model of rutting showed that asphalt content, air void, and optimum moisture content of subgrade were the major factors that affect rutting. The output of sensitivity study for the prediction model of fatigue cracking revealed that asphalt consistency, asphalt content, and air void were the most influential variables. The prediction model of longitudinal roughness indicated asphalt consistency, #200 passing percent of subgrade aggregate, and asphalt content were the factors that affect longitudinal roughness.

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