• Title/Summary/Keyword: 철근망

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Assessment of Lateral Behavior of Steel-concrete Composite Piles Using Full-scale Model Tests (실대형 모형 실험을 이용한 강관합성 말뚝의 수평 거동 특성 평가)

  • Kwon, Hyungmin;Lee, Juhyung;Park, Jaehyu;Chung, Moonkyung
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.5C
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    • pp.199-206
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    • 2009
  • This paper presents full scale model tests on the various types of model piles carried out to estimate the behavior of laterally loaded steel-concrete composite piles. Subgrade-reaction spring system was developed to simulate the reaction of ground in laboratory condition. In addition, lateral behavior of piles under working load condition was estimated using composite loading system, which is available for independent loading in vertical and horizontal direction. Steel-concrete composite piles showed higher efficiency in lateral resistance rather than drilled shaft made of reinforced concrete. The lateral resistance of composite pile was larger than the summation of steel pile and concrete pile due to the composite effect by steel casing. The effect of shear key or strength of concrete on the behavior of composite pile was examined. The substitution of reinforcing bar by steel casing was also investigated.

Performance Analysis of a Dynamic Bandwidth Allocation Scheme for improving the delay of the real time traffic in an EPON (EPON에서 실시간 트래픽의 지연성능 향상을 위한 동적 대역할당방안의 성능분석)

  • Park, Chul-Geun;Lee, Yu-Tae;Chung, Hae;You, Geon-Il;Kim, Jong-An
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.11B
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    • pp.1023-1030
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    • 2003
  • In this paper, we deal with an effective dynamic bandwidth allocation(DBA) scheme in order to support the qualify of services (QoS) in the customer access network which supports various applications with own service requirements. we discuss the DBA scheme for upstream traffic in the EPON which support both the delay sensitive traffic such as voice and real-time video and non-real time traffic such as data and BE. We propose the new DBA scheme which guarantee the delay performance of the real time traffic and utilize the upstream bandwidth effectively in the limited resource environment. We analize the delay performance of the proposed scheme by simulation.

A Study On Application Of Structure Grounding Electrode System For Optimization of Minimized GIS Grounding System (축소형 GIS 접지시스템 최적화를 위한 구조체 접지전극 적용에 관한 연구)

  • Chang, Jeong-Ho;Kim, Hyun-Il;Lee, Seong-Hoon;Lim, Jae-Il
    • Proceedings of the KIEE Conference
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    • 2009.07a
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    • pp.424_425
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    • 2009
  • 접지시스템은 인체의 안전을 확보함과 동시에 기기 및 장치의 확실한 동작과 절연 파괴를 방지하기 위한 가장 중요한 시스템이라 할 수 있다. 접지시스템은 전원설비용, 통신설비용, 피뢰설비용 접지로 크게 분류할 수 있으며 사고 발생 시 대지를 통하여 고장 전류를 신속하게 방전함으로서 기준전위를 유지하는 것을 목적으로 하며, 시스템 성능을 최적화하기 위하여 용도에 따라 서로 다른 목적의 접지라도 각 접지시스템을 본딩시켜 등전위를 형성하는 것이 가장 보편적으로 적용되는 설계 개념이다. 본 연구에서는 축소형 GIS 접지시스템의 계획과 시공에 있어서 좁은 지형조건에서 지반 보강용 철근 콘크리트 파일을 건축물 구조체 접지극으로 활용하여 mesh 접지망과 등전위화 함으로써 접지시스템의 효과를 증대 할 수 있는 방안을 제안하고 효과를 검증하고자 한다.

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Damage Assessment of RC Bridge Using Neural-Fuzzy System (퍼지신경망을 이용한 철근콘크리트 교량의 손상도 평가)

  • Seong, Young-Joon;Kim, Ki- Bong
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.3 no.4
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    • pp.129-137
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    • 1999
  • Assessment of structural damage is a complex subject imbued with uncertainty and vagueness. This complexity arises from the use of subjective opinion and imprecise numerical data. Recently several active researches have been performed using new methods such as neural network approach or on-line damage detection. In this paper, Damage assessment (diagnosis) of the concrete bridges is studied by a new approach utilizing a neural fuzzy system that combined a neural network and a fuzzy logic. By applying this system to actual in-service bridges, it has been verified that the neural fuzzy method is effective for the bridge diagnosis.

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Applicability of Steel-Concrete Composite Drilled Shafts by Pile Loading Tests (말뚝 재하시험을 이용한 강관합성 현장타설말뚝의 적용성 분석)

  • Lee, Ju-Hyung;Chung, Moon-Kyung;Kwak, Ki-Seok;Kim, Sung-Ryul
    • Journal of the Korean Geotechnical Society
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    • v.26 no.11
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    • pp.111-123
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    • 2010
  • The steel pipe of steel-concrete composite drilled shafts increases the pile strength and induces the ductile failure by constraining the deformation of the inner concrete. In this research, pile loading tests were performed to analyze the field applicability of a steel-concrete composite drilled shafts. The test ground consisted of 5~7 m thick soil underlying rock mass. The test piles consisted of two steel-concrete composite drilled shafts, which were the concrete filled steel pipe piles with the diameter of 0.508 m, and a concrete pile with the same diameter. The test results showed that the boundary between the upper steel composite section and the lower concrete section was structurally weak and needs to be reinforced by using a inner steel cage. If the boundary is located in deep depth, which is not influenced by lateral load, the allowable strength of the lower concrete section increases, so an economical design can be performed by increasing the design load of steel-concrete composite drilled shafts.

Determination of Optimum Heating Regions for Thermal Prestressing Method Using Artificial Neural Network (인공신경망을 이용한 온도프리스트레싱 공법의 적정 가열구간 설정에 관한 연구)

  • Kim, Jun Hwan;Ahn, Jin-Hee;Kim, Kang Mi;Kim, Sang Hyo
    • Journal of Korean Society of Steel Construction
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    • v.19 no.6
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    • pp.695-702
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    • 2007
  • The Thermal Prestressing Method for continuous composite girder bridges is a new design and construction method developed to induce initial composite stresses in the concrete slab at negative bending regions. Due to the induced initial stresses, prevention of tensile cracks at the concrete slab, reduction of steel girder section, and reduction of reinforcing bars are possible. Thus, the construction efficiency can be improved and the construction can be made more economical. The method for determining the optimum heating region of the thermal prestressing method has not been established although such method is essential for improving the efficiency of the design process. The trial-and-error method used in previous studies is far from efficient, and a more rational method for computing optimal heating region is required. In this study, an efficient method for determining the optimum heating region in using the thermal prestressing method was developed based on the neural network algorithm, which is widely adopted to pattern recognition, optimization, diagnosis, and estimation problems in various fields. Back-propagation algorithm, commonly used as a learning algorithm in neural network problems, was used for the training of the neural network. Through case studies of two-span and three-span continuous composite girder bridges using the developed procedure, the optimal heating regions were obtained.

Modelling on the Carbonation Rate Prediction of Non-Transport Underground Infrastructures Using Deep Neural Network (심층신경망을 이용한 비운송 지중구조물의 탄산화속도 예측 모델링)

  • Youn, Byong-Don
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.4
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    • pp.220-227
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    • 2021
  • PCT (Power Cable Tunnel) and UT (Utility Tunnel), which are non-transport underground infrastructures, are mostly RC (Reinforced Concrete) structures, and their durability decreases due to the deterioration caused by carbonation over time. In particular, since the rate of carbonation varies by use and region, a predictive model based on actual carbonation data is required for individual maintenance. In this study, a carbonation prediction model was developed for non-transport underground infrastructures, such as PCT and UT. A carbonation prediction model was developed using multiple regression analysis and deep neural network techniques based on the actual data obtained from a safety inspection. The structures, region, measurement location, construction method, measurement member, and concrete strength were selected as independent variables to determine the dependent variable carbonation rate coefficient in multiple regression analysis. The adjusted coefficient of determination (Ra2) of the multiple regression model was found to be 0.67. The coefficient of determination (R2) of the model for predicting the carbonation of non-transport underground infrastructures using a deep neural network was 0.82, which was superior to the comparative prediction model. These results are expected to help determine the optimal timing for repair on carbonation and preventive maintenance methodology for PCT and UT.

Ultimate Behavior of Reinforced Concrete Hyperbolic Cooling Tower (R/C 쌍곡 냉각탑의 극한 거동)

  • Min, Chang Shik;Kim, Saeng Bin
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.12 no.4
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    • pp.59-70
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    • 1992
  • Inelastic nonlinear behavior of a hyperbolic cooling tower under wind loading is studied using a finite element program developed on a Cray Y-MP. Convergence studies for the elastic and inelastic analyses are performed using three mesh models. It is shown that the mesh convergence plays an important role in accurately predicting the inelastic behavior of a cooling tower. Even though the cooling tower resists the applied forces through membrane stresses, it is found that the bending stresses play an important role in the failure and behavior of the cooling tower. The present analysis gives a shape factor of 1.48, which indicates a significant redistribution of meridional stresses. It is further evidenced by the distribution of meridional reinforcement yielding which reaches up to $30^{\circ}$ from the windward meridian. The present practice of using elastic analysis for calculating the design stresses appears to be at least safe and conservative. A more comprehensive study should lead to conclusions that would allow use of a higher-than-one shape factor, thus requiring less meridional reinforcement than the present design method does.

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Flight Control of Tilt-Rotor Airplane In Rotary-Wing Mode Using Adaptive Control Based on Output-Feedback (출력기반 적응제어기법을 이용한 틸트로터 항공기의 회전익 모드 설계연구)

  • Ha, Cheol-Keun;Im, Jae-Hyoung
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.38 no.3
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    • pp.228-235
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    • 2010
  • This paper deals with an autonomous flight controller design problem for a tilt-rotor aircraft in rotary-wing mode. The inner-loop algorithm is designed using the output-based approximate feedback linearization. The model error originated from the feedback linearization is cancelled within allowable tolerance by using single-hidden-layer neural network. According to Lyapunov direct stability theory, the adaptive update law is derived to run the neural network on-line, which is based on the linear observer dynamics. Moreover, the outer-loop algorithm is designed to track the trajectory generated from way-point guidance. Especially, heading and flight-path angle line-of-sight guidance are applied to the outer-loop to improve accuracy of the landing tracking performance. The 6-DOF nonlinear simulation shows that the overall performance of the flight control algorithm is satisfactory even though the collective input response shows instantaneous actuator saturation for a short time due to the lack of the neural network and the saturation protection logic in that loop.

Delay Performance Analysis of a Dynamic Bandwidth Allocation Scheme in a GPON (GPON에서 동적 대역할당 방안의 지연성능 분석)

  • Park, Chul-Geun;Chung, Hae;Kim, Jin-Hee
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.9B
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    • pp.813-821
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    • 2008
  • In recent year, several types of PON(Passive Optical Networks) have been adopted into the subscriber loops for the high speed subscriber lines to meet the needs of some applications based on the Internet and the rapid increase of the Internet users. GPON(Gigabit PON) is a typical access network technology of these PONs which adopt the DBA(Dynamic bandwidth Allocation) scheme in order to transmit upstream traffic efficiently. In this paper, we introduce the gated polling system with a two-stage queue in order to analyze the delay performance of the DBA scheme in a GPON. We use a continuous time queueing model for deriving the mean cycle time and for obtaining the mean packet delay. We give some numerical results to investigate the delay performance for the symmetric polling system with statistically identical stations.