• Earthquakes and Structures
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• 제12권6호
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• pp.591-601
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• 2017

To prevent or limit the damage caused by earthquakes on existing buildings, several retrofitting techniques are possible. In this work, an ultra high performance concrete based on sand dune has been formulated for use in the reinforcement of a multifunctional tower in the city of Skikda in Algeria. Tests on the formulated ultra high performance concrete are performed to determine its characteristics. A nonlinear dynamic analysis, based on the "Pushover" method was conducted. The analysis allowed an optimization of the width of reinforced concrete walls used in seismic strengthening. Two types of concrete are studied, the ordinary concrete and the ultra high performance concrete. Both alternatives are compared with the reinforcement with carbon fibers and by base isolation retrofit design.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2022년도 봄 학술논문 발표대회
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• pp.176-177
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• 2022

In this study, surface performance evaluation was conducted according to the fiber and surface finishing technique of the exterior material using Ultra High Performance Concrete(UHPC), whitch is spotlighted as a highly durable exterior material. As a result of outdoor exposure, the initial performance of the UHPC Panel using organic fibers was maintained without being affected by the surface finishing technique. In the specimen using steel fiber, the surface performance was maintained when the water repellent treatment was performed in the plain specimen, but fiber corrosion occurred in the specimen to which the surface finishing technique was applied.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2008년도 춘계 학술발표회 제20권1호
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• pp.441-444
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• 2008

본 연구에서의 초고성능 콘크리트(Ultra High Performance Concrete, UHPC)는 모래, 시멘트, 실리카퓸, 석영미분말, 강섬유 및 고성능감수제 등으로 구성되며, 평균입경 약 0.5mm이하의 아주 작은 입자들로 구성된다. 일반적으로 석영미분말는 일정크기 이상의 공극을 메움으로써 물리적 성능개선의 효과가 있으며 또한 높은 $SiO_2$함량을 가지므로 고온 또는 고압의 양생조건에서 시멘트 수화물과의 화학반응을 통해서도 성능 향상효과가 있는 것으로 알려져 있다. 본 연구에서는 상압, $90^{\circ}C$ 증기양생 조건에서 석영미분말의 입자크기가 초고성능 콘크리트의 역학적 특성에 어떠한 영향을 미치는지에 대해 알아보고자 하였으며, 평가항목으로는 굳지 않은 상태에서의 유동성과 굳은 상태에서의 압축강도, 극한변형률, 탄성계수 및 휨강도를 평가하였다. 석영미분말의 입경크기의 영향은 약 $2{\mu}m$에서 $26{\mu}m$까지의 범위에서 고려하였으며, 입경 크기가 작을수록 유동성 및 강도특성이 모두 향상되는 것으로 나타났다.

• 한국군사과학기술학회지
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• 제22권2호
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• pp.151-161
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• 2019

In this study, to evaluate the High Altitude Electromagnetic Pulse(HEMP) protection performance of UHPC/CNT composites by the content of Carbon nanotubes(CNTs), Electromagnetic Shielding Effectiveness(SE) test was performed based on MIL-STD-188-125-1. And the results were verified by applying the Antenna theory. In the case of UHPC with a thickness of 200 mm mixed with 1 % CNT of cement weight, the SE was 28.98 dB at 10 kHz and 45.94 dB at 1 GHz. Then the Scabbing limit thickness for bullet proof was computed based on the result of compressive strength test which was 170 MPa, and it was examined whether it satisfied the HEMP protection criteria. As a result, the required HEMP shielding criteria were satisfied in all frequency ranges as well as the scabbing limit thickness was reduced by up to 43 % compared with that of ordinary concrete.

• 콘크리트학회논문집
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• 제22권6호
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• pp.777-786
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• 2010

이 연구에서는 강섬유로 보강된 초고성능 콘크리트(UHPC)를 적용한 대형 크기의 프리스트레스트 콘크리트 거더의 정적하중재하실험을 통하여 휨거동 특성을 파악하고자 하였다. 이 연구결과는 추후 UHPC를 적용한 프리스트레스트 콘크리트 거더의 처짐산정 및 휨강도 산정 모델링에 주요한 기초적인 실험결과를 제공한다. 휨 하중하에서의 프리스트레스트 콘크리트 T-거더의 거동을 파악하기 위하여 강섬유를 혼입하였다. 강섬유는 원형단면의 직선형상이며, 콘크리트에서 2%의 부피비를 나타낸다. 거더는 압축강도 150~190 MPa의 UHPC를 이용하여 제작하였으며, 프리스트레스트 거더의 휨내력을 파악하고자 하였다. 실험결과는 강섬유 보강 UHPC가 거더의 균열제어 및 연성거동에 효과적임을 나타낸다. 강섬유 보강 UHPC를 적용한 프리스트레스트 거더의 파괴는 인장균열에서의 가교 역할(bridging effect)을 하는 강섬유의 뽐힘(pullout)과 더불어 발생한다. 강섬유의 뽑힘과 더불어 단면의 인장강도 손실이 발생하며, 이는 거더의 휨파괴를 유발한다. 또한, 도입 프리스트레스량이 거더의 휨강도에 영향을 미치는 것으로 나타난다.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2008년도 춘계 학술발표회 제20권1호
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• pp.1117-1120
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• 2008

초고성능 콘크리트(Ultra High Performance Concrete)는 압축강도 200MPa, 인장강도 15MPa 및 휨강도 35MPa 정도의 높은강도 특성과 열화인자의 침투 및 확산 속도가 보통콘크리트에 비해 1/20에서 최대 1/10,000까지 낮은 고내구성을 나타내면서 동시에 슬럼프 플로우가 약 220mm 정도의 자기충전성 특성을 갖는 콘크리트이다. 최근 유럽을 중심으로 초고성능 콘크리트에 대한 연구가 활발히 진행되고 있으며 교량, 플랫폼 지붕구조 및 초고층 건축물 등에 적용이 점차 확대되고 있으며 일본에서는 이미 철도 교량의 거더로 활용도 목전에 두고 있다. 우리나라에서는 KICT를 중심으로 초고성능 콘크리트에 대한 연구가 2003년 이후 지속적으로 이루어지고 있으나 유럽 또는 일본에 비해 연구인력과 연구비의 투자 규모가 매우 작다. 여기에서는 그동안 KICT를 중심으로 한 국내 초고성능 콘크리트의 개발 및 활용 현황에 대하여 살펴보고 향후 이 분야에 대한 연구 활성화를 모색하고자 한다.

• International Journal of Concrete Structures and Materials
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• 제10권sup3호
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• pp.33-41
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• 2016

Ultra-high performance concrete (UHPC) is one of the most promising construction materials because it exhibits high performance, such as through high strength, high durability, and proper rheological properties. However, it has low tensile ductility compared with other normal strength grade high ductile fiber-reinforced cementitious composites. This paper presents an experimental study on the tensile behavior, including tensile ductility and crack patterns, of UHPC reinforced by hybrid steel and polyethylene fibers and incorporating plastic beads which have a very weak bond with a cementitious matrix. These beads behave as an artificial flaw under tensile loading. A series of experiments including density, compressive strength, and uniaxial tension tests were performed. Test results showed that the tensile behavior including tensile strain capacity and cracking pattern of UHPC investigated in this study can be controlled by fiber hybridization and artificial flaws.

• Computers and Concrete
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• 제33권2호
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• pp.121-136
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• 2024

In recent times, there has been a growing need to retrofit and strengthen reinforced concrete (RC) structures that have been damaged. Numerous studies have explored various methods for strengthening RC beams. However, there is a significant dearth of research investigating the utilization of ultra-high-performance concrete (UHPC) for retrofitting damaged RC beams within a concrete frame. This study aims to develop a finite element (FE) model capable of accurately simulating the nonlinear behavior of RC beams and subsequently implementing it in an RC concrete frame. The RC frame is subjected to loading until failure at two distinct degrees, followed by retrofitting and strengthening using Ultra high performance shotcrete (UHPS) through two different methods. The results indicate the successful simulation of the load-displacement curve and crack patterns by the FE model, aligning well with experimental observations. Novel techniques for reinforcing deteriorated concrete frame structures through ABAQUS are introduced. The second strengthening method notably improves both the load-carrying capacity and initial stiffness of the load-displacement curve. By incorporating embedded rebars in the frame's columns, the beam's load-carrying capacity is enhanced by up to 31% compared to cases without embedding. These findings indicate the potential for improving the design of strengthening methods for damaged RC beams and utilizing the FE model to predict the strengthening capacity of UHPS for damaged concrete structures.

• Computers and Concrete
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• 제33권4호
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• pp.341-348
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• 2024

Ultra-high-performance concrete (UHPC) has received remarkable attentions in civil infrastructure due to its unique mechanical characteristics and durability. UHPC gains increasingly dominant in essential structural elements, while its unique properties pose challenges for traditional inspection methods, as damage may not always manifest visibly on the surface. As such, the need for robust inspection techniques for detecting cracks in UHPC members has become imperative as traditional methods often fall short in providing comprehensive and timely evaluations. In the era of artificial intelligence, computer vision has gained considerable interest as a powerful tool to enhance infrastructure condition assessment with image and video data collected from sensors, cameras, and unmanned aerial vehicles. This paper presents a computer vision-based approach employing deep learning to detect cracks in UHPC beams, with the aim of addressing the inherent limitations of traditional inspection methods. This work leverages computer vision to discern intricate patterns and anomalies. Particularly, a convolutional neural network architecture employing transfer learning is adopted to identify the presence of cracks in the beams. The proposed approach is evaluated with image data collected from full-scale experiments conducted on UHPC beams subjected to flexural and shear loadings. The results of this study indicate the applicability of computer vision and deep learning as intelligent methods to detect major and minor cracks and recognize various damage mechanisms in UHPC members with better efficiency compared to conventional monitoring methods. Findings from this work pave the way for the development of autonomous infrastructure health monitoring and condition assessment, ensuring early detection in response to evolving structural challenges. By leveraging computer vision, this paper contributes to usher in a new era of effectiveness in autonomous crack detection, enhancing the resilience and sustainability of UHPC civil infrastructure.

• 한국안전학회지
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• 제27권6호
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• pp.99-108
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• 2012

Ultra High Performance Concrete(UHPC) has compressive strength higher than 180 MPa. The use of steel fibers in the dense UHPC matrix increases tensile strength, ductility and bond strength between UHPC and rebars. However, to apply the advance material behavior of UHPC to the design of a structure, we need design formulas. The crack formula is one of them. This paper investigated experimentally the bond behavior of a rebar and K-UHPC, the UHPC developed by Korea Institute of Construction Technology, and, modified CEB-FIP crack formula based on the test. In addition, this paper tested the crack behavior of K-UHPC reinforced with rebars to verify the modified crack formula. The result showed that the modified formula is reasonable to predict the width of cracks in the reinforced K-UHPC structures.