• Title/Summary/Keyword: Durability factor

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A Study on the Durability of Restorative Cement Mortar with Insulation Performance (단열성 단면복구 Mortar의 내구성에 관한 연구)

  • Na, Seung-Hyun;Kim, Hyung-Jin;Su, Byung-Dol;Kang, Hyun-Ju;Song, Myong-Shin
    • Proceedings of the Korea Concrete Institute Conference
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    • 2009.05a
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    • pp.495-496
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    • 2009
  • The restorative materials for deteriorated concrete are estimated by various kinds of strength, carbonation, and at same time, by various deteriorate factors and others. So, it's properties must have maintained many functional properties. In this study, to improvement of durability of restorative materials, we take restorative materials with insulation performance, for deterioration by temperature exchange as deterioration factor.

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A Study on the Concrete Scaling Deterioration due to Freezing and Thawing of Sea Water (해수동결융해작용에 의한 콘크리트의 표면열화에 관한 연구)

  • 김규용;박주현;김규동;이승훈
    • Proceedings of the Korea Concrete Institute Conference
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    • 2003.11a
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    • pp.54-57
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    • 2003
  • Scaling deterioration of port concrete structures due to the combined effects of chemical actions by seawater and the freeze-thaw action is also a problem which has not yet been fundamentally solved. Furthermore, deterioration of concrete surface was considered as accelerate factor of concrete durability tended to decrease. Therefore, we considered the scaling measuring method and decreasing influence of durability of concrete according to kind of binders, such as OPC, Slag, Slag+Fa, due to freeze and haw of sea water. As a results of this study, it was effective method of scaling deterioration of concrete, and confirmed the salt deterioration resistance effect to use slag binder against to sea water.

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A Comprehensive Study on Fuel Injector Test Bench for Heavy Duty Engine

  • Das, Shubhra Kanti;Thongchai, Sakda;Lim, Ocktaeck
    • Journal of ILASS-Korea
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    • v.20 no.3
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    • pp.195-201
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    • 2015
  • This study discusses a fuel injector test bench containing a mechanical type fuel supply system for heavy duty diesel engine. The main focus of this study was to evaluate the design stability of the test bench, which basically measures the injector durability of a multi-hole heavy duty injector by using pure diesel as a test fuel. In this experiment, diesel spray was controlled by a specially designed control box and all the experiments were carried out to measure e.g. fuel injection pressure and fuel injection quantity to understand the injection status which is interlinked with the stability factor of total test bench design. Also, the durability test was performed to understand the heavy duty operation lastingness of the designed system and the flow rate of the installed distributor pump in the fuel supply system of this studying test bench was compared with LO-1 and LO-2 pump. The results of the above mention tests revealed that the injector test bench design and control system can serve the purpose for heavy duty injector.

Behavior and Durability Analysis of Tractor applying a hybrid power system (하이브리드 동력시스템을 적용한 트랙터의 동적 거동 및 내구해석)

  • Kim, Byeong Sam;Lim, Gwang Gue
    • Journal of Auto-vehicle Safety Association
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    • v.6 no.2
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    • pp.61-66
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    • 2014
  • This paper described on the motion of hybrid tractor trajectory for powertrain system. The dynamics behavior used to the tractor according to the characteristics of the road surface using $Daful^@$ analysis. The tractor industry is facing to a big problem about rising gas price and exhaust gas environment. Because it was possible overcoming the past drawback, hybrid vehicle had been decided as the best technical way since it has started operating the internal combustion engine with the electric power as the motive power. The vehicle structures have designed the model of a major power transmission factor. The simulation realized in this paper that motion of tractor being turned by torque and force of each joints. Driving characteristics, especially in recent years, IVHS (Intelligent Vehicle Tractor / System) technology, while receiving a lot of attention because of the tractor and the need to pursue high function is emerging as a more and more.

A Study on the Characteristics of Temperature Distribution according to Material and Position of Filter in a Diesel Particulate Filter (필터의 재질 및 위치에 따른 DPF 내부의 온도 분포 특성에 관한 연구)

  • Kim, Gyu-Sung;Park, Sung-Cheon
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.21 no.6
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    • pp.903-909
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    • 2012
  • This study analyzed the temperature distribution in DPF with five partitioned electric heaters. The temperature distribution in DPF is an important design factor for regeneration and durability of filter. The design Factors that influence the temperature distribution in DPF there are several. In this study, the characteristics of temperature distribution in DPF were analyzed according to the following changes. First, the thermal conductivity of the filter was analyzed about effect on the durability of the filter. Second, the length from exhaust manifold to inlet of DPF was analyzed about effect on the temperature distribution in DPF. The boundary conditions of analysis has been verified with comparison to the results of existing experimental study and the numerical analysis. Based on the identified boundary condition, on assuming the condition of the actual driving, the temperature distribution in DPF was analyzed according to material properties of filter and the position of DPF.

Vehicle Dynamic Simulation Using the Neural Network Bushing Model (인공신경망 부싱모델을 사용한 전차량 동역학 시뮬레이션)

  • 손정현;강태호;백운경
    • Transactions of the Korean Society of Automotive Engineers
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    • v.12 no.4
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    • pp.110-118
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    • 2004
  • In this paper, a blackbox approach is carried out to model the nonlinear dynamic bushing model. One-axis durability test is performed to describe the mechanical behavior of typical vehicle elastomeric components. The results of the tests are used to develop an empirical bushing model with an artificial neural network. The back propagation algorithm is used to obtain the weighting factor of the neural network. Since the output for a dynamic system depends on the histories of inputs and outputs, Narendra's algorithm of ‘NARMAX’ form is employed in the neural network bushing module. A numerical example is carried out to verify the developed bushing model.

The Necessity Analysis of Development Waterproofing Materials and Methods of Construction Technologies for Green Roof (옥상녹화를 위한 방수재료 및 공법개발의 필요성에 관한 분석)

  • 권시원;오미현;강효진;오상근
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2003.05a
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    • pp.107-111
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    • 2003
  • The need for this study must be considerable, as being activate of green roofs research that the organization and construction obtain access to more development technologies. Nevertheless, the green roofs system has begun to apply since 1980's, the green roofs technology was restricted to develop without verification of technologies such as a load or water leakage. There is a limit as urethane waterproofing to almost domestic waterproofing materials and methods of construction for general green roofs. The introduction of materials and methods of construction which are appropriated to property of green roofs could be a decisive factor in a long-range durability and economical maintenance cost, moreover. it support to variety construction system and organization. This present paper describes a necessity of waterproofing and root barrier system is one of the sub-organization based on green roofs construction. which have enormously large impact on the durability.

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A Performance Analysis and Experiment of Viscous Torsional Vibration Damper for High Speed Engine Shaft System (고속엔진축계용 점성 비틀림진동감쇠기의 성능해석 및 실험)

  • Yang, B.S.;Jeong, T.Y.;Kim, K.D.;Kim, D.J.
    • Journal of Power System Engineering
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    • v.1 no.1
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    • pp.98-105
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    • 1997
  • In general, crankshafts which are used in internal combustion reciprocating engines are subjects to high torsional vibration. Therefore, a damper is often used to minimize the torsional vibration in reciprocating engines. In this paper, in order to investigate damping performance of viscous damper, the real effective viscosity and complex damping coefficient of silicone oil, and the effective inertia moment of inertia ring are calculated considering the relative motion between damper casing and inertia ring. Based on these results multi-cylinder shaft is modeled into equivalent 2-degree of freedom system and optimum condition is estimated by calculating the amplification factor of viscous damper. Also the test damper was manufactured according to the result of theoretical investigation, the performance and durability was ascertained through experimental examination.

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A Experimental Study on the Freezing and Thawing of High-Strength Light Weight Aggregates Concrete (고강도 경량골재콘크리트의 동결융해에 대한 실험적 연구)

  • 박정권;최세규;한상묵;김생빈
    • Proceedings of the Korea Concrete Institute Conference
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    • 1997.04a
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    • pp.155-161
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    • 1997
  • This Expriment is performed to describe the properties of the freezing-thawing and to find the method to enhance the freezing-thawing resistance of the high strength light weight aggregates concrete. For this purpose, we made 8 kinds of specimen of concrete mold. The light weight coarse aggregate concrete which contained AE was appeared in good condition and its durability index was more than 90% by the buffer action which owing to entained air. The light weight aggregates concrete which admixture of silca fume, was appeared that the durability index was 46.74% in spite of its high strength. I might conclude that the most important factor for freezing-thawing resistance of high strength light weight aggregate concrete is the entrained air.

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A Fundamental Study on the Prediction of Carbonation Progress Using Deep Learning Algorithm Considering Mixing Factors (배합인자를 고려한 딥러닝 알고리즘 기반 탄산화 진행 예측에 관한 기초적 연구)

  • Jung, Do-Hyun;Lee, Han-Seung
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2019.05a
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    • pp.30-31
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    • 2019
  • Carbonation of the root concrete reduces the durability of the reinforced concrete, and it is important to check the carbonation resistance of the concrete to ensure the durability of the reinforced concrete structure. In this study, a basic study on the prediction of carbonation progress was conducted by considering the mixing conditions of concrete using deep learning algorithm during the theory of artificial neural network theory. The data used in the experiment used values that converted the carbonation velocity coefficient obtained from the mixing conditions of concrete and the accelerated carbonation experiment into the actual environment. The analysis shows that the error rate of the deep learning model according to the Hidden Layer is the best for the model using five layers, and based on the five Hidden layers, we want to verify the predicted performance of the carbonation speed coefficient of the carbonation test specimen in which the exposure experiment took place in the real environment.

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