• 콘크리트학회지
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• 제6권2호
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• pp.118-128
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• 1994

본 논문은 전단철근을 갖지 않는 강섬유보강콘크리트 보의 전단거동을 규명하고 균열전단강도와 극한전단강도를 예측하기 위한 것으로 섬유로 보강된 11개의 보을 포함한 총 14개의 보에 대한 실험을 수행하였다. 실험의 변수는 섬유혼입율과 전단지간 등이며, 실험과정을 통해 파괴형상, 처짐, 균열전단강도 및 극한전단강도를 측정하였다. 실험결과로부터 섬유의 혼입량이 많아지고 전단지간이 짧아질수록 섬유보강콘크리트 보의 균열 및 극한전단강도가 증가됨을 밝혔다. 그리고 실험결과를 희귀분석하여 균열전단겅도와 극한전단강도 추정식을 제안 하였으며, 제안된 식에 의해 강섬유의 혼입으로 얻어지는 전단강도에 대한 섬유의 기여효과를 추정할 수 있었다. 또한, 제안된 추정식에 의해 계산된 값과 실험결과를 비교 검토하여 그 상관성을 확인하였다.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2001년도 봄 학술발표회 논문집
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• pp.327-332
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• 2001

It is generally observed that steel fiber reinforced concrete with traditional straight steel fibers overcomes brittle nature of plain concrete by failure mechanisms by fiber pull-out rather than fiber rupture resulting from fiber yielding or concrete fracture at failured surface. Ring type steel fibers in concrete which is confined in concrete matrix and has better orientation, thus, lead to fiber yielding and concrete fracture as well as increase of flexural behavior of concrete more efficiently, Comparative experimental study is performed in order to measure the relative efficiencies of steel fiber reinforced concrete reinforced with two different fibers. It is found that better toughness is obtained from the ring type steel fiber reinforced concrete than from straight steel fiber reinforced concrete under flexural loading.

• Computers and Concrete
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• 제14권3호
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• pp.299-313
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• 2014

Effects of polypropylene (PP) fibers, steel fibers (SF) and hybrid on the properties of highstrength fiber reinforced self-consolidating concrete (HSFR-SCC) under different volume contents are investigated in this study. Comprehensive laboratory tests were conducted in order to evaluate both fresh and hardened properties of HSFR-SCC. Test results indicated that the fiber types and fiber contents greatly influenced concrete workability but it is possible to achieve self consolidating properties while adding the fiber types in concrete mixtures. Compressive strength, dynamic modulus of elasticity, and rigidity of concrete were affected by the addition as well as volume fraction of PP fibers. However, the properties of concrete were improved by the incorporation of SF. Splitting tensile and flexural strengths of concrete became increasingly less influenced by the inclusion of PP fibers and increasingly more influenced by the addition of SF. Besides, the inclusion of PP fibers resulted in the better efficiency in the improvement of toughness than SF. Furthermore, the inclusion of fibers did not have significant effect on the durability of the concrete. Results of electrical resistivity, chloride ion penetration and ultrasonic pulse velocity tests confirmed that HSFR-SCC had enough endurance against deterioration, lower chloride ion penetrability and minimum reinforcement corrosion rate.

• Composites Research
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• 제25권3호
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• pp.82-89
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• 2012

본 논문은 고체 추진기관 로켓 모터 케이스에 사용된 복합재료에 대하여 사례와 발전 추세를 조사하였다. 기본적으로 모터케이스는 강인하고 고압에 견뎌야 하며, 가벼워야 한다. 이에 부응하는 소재로 복합재료가 효율적인 재료로서 대두되어 유리섬유, 아라미드 그리고 탄소 섬유가 순차적으로 적용되었다. 모터 케이스 효율을 탄소섬유, 아라미드, D6AC강 등을 비교한 결과 탄소섬유가 가장 우수하고 고강도 탄소섬유를 사용하면 탑재용량이 20% 이상 증가시킬 수 있는 것으로 조사되었다.

• Computers and Concrete
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• 제27권5호
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• pp.395-406
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• 2021

This study experimentally and analytically investigates the shear behavior of corroded reinforced concrete (RC) beams repaired using steel fiber-reinforced concrete (SFRC) in the flexural zone. The experimental parameters are the corrosion degree (0%, 12%, and 17%) and the steel fiber volume in the SFRC (1.0%, 1.5%, and 2.0%). The test results reveal that corrosion degree significantly affects the shear resistance of the beams. The shear capacity of the beam with the corrosion degree of 17% was higher than that of the uncorroded beam, whereas the shear capacity of the beam with the corrosion degree of 12% was lower than that of the uncorroded beam. The shear efficiency of damaged beams can be recovered by repairing them using SFRC that contains a reasonable amount of steel fibers. In addition, two methods to estimate the shear capacity of the repaired beams are developed using the modified truss analogy and strut-and-tie models. The estimated shear capacity of the beam using the modified truss analogy model agrees well with the experimental data.

• 한국구조물진단유지관리공학회 논문집
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• 제14권3호
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• pp.160-170
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• 2010

강섬유를 혼입한 콘크리트(Steel Fiber Reinforced Concrete, SFRC) 보는 강섬유의 우수한 인장강도로 인하여 일반 철근콘크리트 보에 비하여 높은 전단강도를 가진다. 이 연구에서는 강섬유 혼입율에 따른 SFRC 보의 전단거동을 규명하기 위하여 실험을 수행하였으며, 특히, 압축영역에서의 비균열 콘크리트 단면의 전단저항 분담율을 분석하였다. 또한, 이 연구의 실험결과 및 기존에 보고된 87개의 실험 데이터를 수집하여 SFRC보의 전단예측식들에 대한 정확도를 평가하였다. 강섬유의 혼입율이 증가할수록 전단강도는 증가하는 경향성을 나타내었다. 그러나, 강섬유 혼입율이 0.5%인 실험체는 사인장 균열 이후 갑작스럽게 파괴되었고, 강섬유의 혼입율이 2.0%인 실험체에서는 전단보강효율이 감소하는 것으로 관찰되어 최대 전단보강효율을 가질 수 있는 혼입율은 1~2% 사이에 있을 것으로 추정된다. 또한, 압축영역에서의 비균열 콘크리트 단면의 전단저항 분담율은 약 21% 이상으로 관찰되었으며, 이 연구에서 평가된 SFRC보의 전단강도에 대한 기존 제안식 중에서 오영훈 등이 제안한 식이 비교적 정확하게 전단강도를 예측하였다.

• Steel and Composite Structures
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• 제34권5호
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• pp.671-679
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• 2020

The new energy-based criterion, named Reinforcement Strain Energy Density (ReiSED), is proposed to investigate the fracture behavior of the cracked orthotropic materials in which the crack is embedded in the matrix along the fibers. ReiSED is an extension of the well-known minimum strain energy density criterion. The concept of the reinforced isotropic solid as an advantageous model is the basis of the proposed mixed-mode I/II criterion. This model introduces fibers as reinforcements of the isotropic matrix in orthotropic materials. The effects of fibers are qualified by defining reinforcement coefficients at tension and shear modes. These coefficients, called Reduced Stress (ReSt), provide the possibility of encompassing the fiber fraction in a fracture criterion for the first time. Comparing ReiSED fracture limit curve with experimental data proves the high efficiency of this criterion to predict the fracture behavior of orthotropic materials.

• Structural Engineering and Mechanics
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• 제53권5호
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• pp.939-956
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• 2015

In this study, in order to propose an efficient model to predict the torque capacity of steel fiber reinforced concrete (SFRC) beams, the existing experimental data related to torsional response of beams is reviewed. It is observed that existing data neglects the effects of some parameters on the variation of torque capacity. Thus, an experimental research was also conducted to obtain the effects of neglected parameters. In the experimental study, a total of seventeen SFRC beams are tested against torsion. The parameters considered in the experiments are concrete compressive strength, steel fiber aspect ratio, volumetric ratio of steel fibers and longitudinal reinforcement ratio. The effect of each parameter is discussed in terms of torque versus unit angle of twist graphs. The data obtained from this experimental research is also combined with the data got from previous studies and employed in artificial neural network (ANN) analysis to estimate the ultimate torque capacity of SFRC beams. In addition to parameters considered in the experiments, aspect ratio of beam cross-section, yield strengths of both transverse and longitudinal reinforcements, and transverse reinforcement ratio are also defined as parameters in ANN analysis due to their significant effects observed in previous studies. Assessment of the accuracy of ANN analysis in estimating the ultimate torque capacity of SFRC beams is performed by comparing the analytical and experimental results. Comparisons are conducted in terms of root mean square error (RMSE), mean absolute error (MAE) and coefficient of efficiency ($E_f$). The results of this study revealed that addition of steel fibers increases the ultimate torque capacity of reinforced concrete beams. It is also found that ANN is a powerful method and a feasible tool to estimate ultimate torque capacity of both normal and high strength concrete beams within the range of input parameters considered.

• Computers and Concrete
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• 제5권1호
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• pp.21-36
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• 2008

Steel fiber reinforced concrete is increasingly used day by day in various structural applications. An extensive experimentation was carried out with w/cm ratio ranging from 0.25 to 0.40, and fiber content ranging from zero to1.5 percent by volume with an aspect ratio of 80 and silica fume replacement at 5%, 10% and 15%. The influence of steel fiber content in terms of fiber reinforcing index on the compressive strength of high-performance fiber reinforced concrete (HPFRC) with strength ranging from 45 85 MPa is presented. Based on the test results, equations are proposed using statistical methods to predict 28-day strength of HPFRC effecting the fiber addition in terms of fiber reinforcing index. A strength model proposed by modifying the mix design procedure, can utilize the optimum water content and efficiency factor of pozzolan. To examine the validity of the proposed strength model, the experimental results were compared with the values predicted by the model and the absolute variation obtained was within 5 percent.

• Computers and Concrete
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• 제15권2호
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• pp.215-229
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• 2015

The emerging technology of self compacting concrete, fiber reinforcement together reduces vibration and substitute conventional reinforcement which help in improving the economic efficiency of the construction. The objective of this work is to find the regression model to determine the response surface of mix proportioning Steel Fiber Reinforced Self Compacting Concrete (SFSCC) using statistical investigation. A total of 30 mixtures were designed and analyzed based on Design of Experiment (DOE). The fresh properties of SCC and mechanical properties of concrete were studied using Response Surface Methodology (RSM). The results were analyzed by limited proportion of fly ash, fiber, volume combination ratio of two steel fibers with aspect ratio of 50/35: 60/30 and super plasticizer (SP) dosage. The center composite designs (CCD) have selected to produce the response in quadratic equation. The model responses included in the primary stage were flowing ability, filling ability, passing ability and segregation index whereas in harden stage of concrete, compressive strength, split tensile strength and flexural strength at 28 days were tested. In this paper, the regression model and the response surface plots have been discussed, and optimal results were found for all the responses.