부순 모래를 포함한 고유동 모르타르의 유동특성

이근수(Lee Keun-Su),최열(Choi Yeol),이재익(Lee Jae-Ik),정웅(Jung  Woong) 대한건축학회 2008 대한건축학회 학술발표대회 논문집 - 계획계/구조계 Vol.28 No.1(구조계)

The self-compacting concrete(SCC) has been developed for the last two decades. And also the crushed sands as a fine aggregate have been increasingly used for the concrete industries due to the shortage of the natural sands. Therefore, the study of self-compacting concrete(SCC) containing crushed sands is needed and the Rheological properties of SCC is deeply related to the Rheological properties of SCM(self compacting morter). In other words, In order to find out the Rheological properties of SCC, the study about SCM should be needed. The total 20 Mortar mixes were made to compare the effects depending on the various changes in the ratio of viscocity enhancing admixture (VEA) and superplasticizer(SP). The tests for rheological properties of SCM were conducted through mini V-funnel test and mini slump flow test. The data(slump flow, flow time) from the tests is replaced to Relative flow area(Pm) and Relative V-funnel flow time(Ф). The optimum mortar mix condition is approximately satisfied when containing 0.2%(of cement weight) YEA and between 1.0% and 1.2%(of cement weigh) SP in case of w/c 0.45.

Development of a 3D Printer for Concrete Structures: Laboratory Testing of Cementitious Materials

Jun Ho Jo,Byung Wan Jo,Woohyun Cho,Jung-Hoon Kim 한국콘크리트학회 2020 International Journal of Concrete Structures and M Vol.14 No.2

This study deals with (a) the development of a prototype 3D printer for concrete structures having a bed size of 1 × 1 × 1 m for a laboratory testing and (b) laboratory testing of cementitious materials with different design mixes to find their suitability and efficacy for the developed 3D printer. In this printer, a program with the concept of computer numerical controlled milling was adopted to control the nozzle motion using an easy graphic user interface program. The experiment was carried out to test mechanical control and proper material properties of the printer. Thus, the optimum values of water-cement ratio of cementitious materials for the 3D concrete printer were determined by experimental trials. Also, the adequate viscosity of the material for layering and dispensing is determined by a slump-flow test. The suitable size of sands for the dispensing system was found through the trials. However, shrinkage cracks occurred during the hardening process for the paste and mortar that polyvinyl alcohol fibers are added to prevent the cracking and build an improved quality 3D printed structure. After suitable and efficient mix ratio is found, compressive strength is measured for the mechanical property. The experiments demonstrated possibility of printing concrete structure using the 3D printer.

섬유조합에 따른 섬유보강 초고성능 콘크리트의 강도 특성에 관한 연구

김우석 한국복합신소재구조학회 2019 복합신소재구조학회논문집 Vol.10 No.1

The ultra-high performance concrete (UHPC) has compressive strength over 100 MPa. The latest study about UHPC is reaching higher bending strength as well as higher compressive strength than conventional concrete. The typical method is the fiber reinforced concrete. The purpose of this study evaluated the fiber reinforced UHPC (UHPFRC) with single fibers and composite fibers which mixed with p-A (para-Aramid) fibers and other fibers. In the result of the slump flow test, the flow-ability with single fibers is more superior than the composite fibers. In the result of the compressive and bending strength, the specimens with the composite fibers that mixed the steel fibers and the p-A fibers are the highest strength. The authors were confirmed that the composite fibers had competitiveness compared with the single fibers through the flow-ability evaluation and the strength test. 본 연구는 초고성능 콘크리트의 성능을 보다 향상시키기 위해 현재 콘크리트 보강에 사용하는 섬유들을 조합한 복합섬유를 제작하여 복합섬유 혼입 초고성능 콘크리트의 강도 특성을 분석하였다. 복합섬유 4종과 단일섬유 3종을 각각 혼입하여유동성과 압축, 휨강도 실험을 진행하였다. 복합섬유와 단일섬유 혼입 시험체 모두 유동성 평가를 만족하였으며, 단일섬유가 조금 더 우수한 성능을 나타내었다. 강도 평가결과 파라아라미드 섬유와 강섬유를 조합한 복합섬유 2종이 가장 우수한 결과를 나타내었으며, 복합섬유 직경 차이에 따라 압축 및 휨강도 보강효과가 다르게 나타난 것을 확인할 수 있었다. 압축강도 감소를 최소화하며 휨강도를 증가시킨 결과를 통해, 복합섬유는 단일섬유 간의 단점을 서로 보완할 수 있을 것으로 판단되며, 본 연구를통해 차후 콘크리트의 다양한 재료적 특성을 보강하는 복합섬유도 충분히 제작 가능할 것으로 판단된다.

A simple test method to assess slump flow and stability of self-compacting concrete

Tayeb Bouziani 사단법인 한국계산역학회 2018 Computers and Concrete, An International Journal Vol.21 No.2

Establishment of test methods to assess the fresh properties of self-compacting concrete (SCC) are required to ensure the homogeneity in fresh and hardened states. This paper discusses the suitability of a simple test method for assessing the slump flow and stability of SCC by testing on self-compacting mortar (SCM) fraction. The proposed test method aims at investigating slump flow diameter test and sieve stability test of SCC by testing SCM fraction with a plunger penetration apparatus. A central composite modeling design was performed to evaluate the effects of water/cement ratio (W/C), superplasticizer dosage (SP) and powder marble content (MP) on slump flow diameter, stability and plunger penetration test of fresh SCC. The responses of the derived statistical models are slump flow (Sf), sieve stability (S) and plunger penetration (P). Relationships obtained in this study show acceptable correlations between plunger penetration test value and slump flow diameter test results and stability. It should note that the developed relationships are very useful to predict slump flow diameter and stability of studied SCC mixtures by carrying out a simple plunger penetration test on its mortar, which can save labour and time in laboratory experiments.

Modelling fresh properties of self-compacting concrete using neural network technique

Mohammed Sonebi,Steffen Grunewald,Abdulkadir Cevik,Joost Walraven 사단법인 한국계산역학회 2016 Computers and Concrete, An International Journal Vol.18 No.4

The purpose of this paper is to investigate the feasibility of using artificial neural network programming for the prediction of the fresh properties of self-compacting concrete. The input parameters of the neural network were the mix composition influencing the fresh properties of self-compacting concrete namely, the cement content, the dosages of limestone powder and water, fine aggregate, coarse aggregate, and superplasticizer, and other parameter of time of testing (5, 30 and 60 minutes after addition of water). The model is based on a multilayer feed forward neural network. The details of the proposed ANN with its architecture, training and validation are presented in this paper. Six outputs of the ANN models related to the fresh properties were the slump flow, T50, T60, V-funnel flow time, Orimet flow time, and blocking ratio (L-box). The effectiveness of the trained ANN is evaluated by comparing its responses with the experimental data that were used in the training process. The dosage of water was varied from 188 to 208 L/m3, the dosage of SP from 3.8 to 5.8 kg/m3, and the volume of coarse aggregates from 220 to 360 L/m3 (587 to 961 kg/m3). In total twenty mixes were used to measure the fresh properties with different mix compositions. ANN performed well and provided very good correlation coefficients (R2) above 0.957 for slump flow, T50, V-funnel flow time, Orimet flow time, and L-box blocking ratio. The predicting results for T60 was slightly lower (R2=0.823). With the calculated models these properties of new mixes within the practical range of the input variables used in the training can be predicted with an absolute error for slump flow, T50, T60, V-funnel flow time, Orimet flow time, and L-box ratio of 3.3%, 13%, 16%, 14%, 15%, and 22%, respectively. The results show that the ANN model can predict accurately the fresh properties of SCC.

동제련 슬래그를 혼입한 고강도 콘크리트의 유동특성에 관한 연구

이동운(Dong-Un Lee),윤종진(Jong-Jin Yoon),김대영(Dae-Young Kim) 한국산학기술학회 2016 한국산학기술학회논문지 Vol.17 No.10

본 연구의 목적은 고강도 콘크리트에 광물성 혼화재로서 동제련 슬래그를 혼입하였을 때 유동특성을 파악하기 위한 것이다. 이를 위해 동제련 슬래그를 고강도 콘크리트의 결합재로 사용하여 10 %, 20 %, 30 %, 40 %, 50 %를 시멘트로 대체하여 사용하였다. 그리고 굳지않은 콘크리트에서 슬럼프플로, 500mm도달시간, V-Funnel과 U-Boxt시험을 실시하여 유동성 및 충전성을 알아보았고, 굳은 콘크리트에서는 재령 3, 7, 14, 28일의 콘크리트 압축강도를 측정하였다. 상기의 실험결과, 동제련 슬래그를 광물설 혼화재료로 혼입한 콘크리트의 굳지 않은 콘크리트 특성을 살펴보면 동제련 슬래그의 치환율이 30%까지는 유동성이 증가하였으며, 충전성이 우수한 것을 알 수 있었다. 그리고 굳은 콘크리트의 특성을 살펴보면 동제련 슬래그의 치환율이 30 %일때까지 모든 재령에서 압축강도가 증가하는 것을 확인할 수 있었다. 그러나 동제련 슬래그의 치환율이 30%를 초과하였을 때는 유동성, 충전성 및 압축강도가 감소하는 것을 확인할 수 있어 동제련 슬래그의 최적 치환율은 30 %이내가 적정할 것으로 판단된다. This study examines the properties of high-fluidity concrete after adding copper slag as a mineral admixture. For this purpose, the replacement ratio of cement to copper slag was varied to 0, 10, 20, 30, 40, and 50%. A slump flow test, reach time slump flow of 500 mm, and a U-Box and O-lot test were conducted on the fresh concrete. The compressive strength of the hardened concrete was determined at 3, 7, 14 and 28 days. According to the test results, the workability, compaction, and compressive strength of the high-fluidity concrete increased when replacing 30% of the cement with copper slag. These parameters decreased for all material ages with more than 30% copper slag, which was the optimal mixture ratio.

Method for estimating workability of self-compacting concrete using mixing process images

Xuehui An,Shuyang Li 사단법인 한국계산역학회 2014 Computers and Concrete, An International Journal Vol.13 No.6

Estimating the workability of self-compacting concrete (SCC) is very important both in laboratories and on construction site. A method using visual information during the mixing process was proposed in this paper to estimate the workability of SCC. First, fourteen specimens of concrete were produced by a single-shaft mixer. A digital camera was used to record all the mixing processes. Second, employing the digital image processing, the visual information from mixing process images was extracted. The concrete pushed by the rotating blades forms two boundaries in the images. The shape of the upper boundary and the vertical distance between the upper and lower boundaries were used as two visual features. Thirdly, slump flow test and V-funnel test were carried out to estimate the workability of each SCC. Finally, the vertical distance between the upper and lower boundaries andthe shape of the upper boundary were used as indicators to estimate the workability of SCC. The vertical distance between the upper and lower boundaries was related to the slump flow, the shape of the upper boundary was related to the V-funnel flow time. Based on these relationships, the workability of SCC could be estimated using the mixing process images. This estimating method was verified by three more experiments. The experimental results indicate that the proposed method could be used to automatically estimate SCC workability.

Evaluation of Mixing Conditions for the Production of Optimized High Flowing Concrete

Kim, Sang-Chel Korea Concrete Institute 1999 KCI concrete journal Vol.11 No.3

Most difficulties of inducing high fluidity on the concrete mixing design with a strength range of 210 to 240kg/$\textrm{cm}^2$ result from the segregation of aggregates due to the shortage of cementitious binders. To solve the problem, this study concentrated on finding the optimized amount of binder material which does not affect the concrete strength and is also economical. Also there were studies on the use of intermediate sized aggregates to avoid the gap-grading between coarse and fine aggregates so that the material segregation in high flowing concrete was and minimalized the fluidity and penetration capacity of the reinforcing bars was enhanced. Throughout the parametric study with respect to water/binder ratio. superplasticizer. replaceable mineral admixture, the size of coarse aggregate and mixing methods, the effect of each constituent on the characteristics of high flowing concrete could be observed. As a result or partially using stone powder or an intermediate class of aggregate (max. diameter 13mm) . it was fund that the fluidity of concrete significantly increased without material segregation and any change of compressive strengths. It was also proved in this study that proper mixing time and speed are significant factors influence the performence of high flowing concrete.

증점제를 사용한 저분체 고유동 콘크리트의 특성에 관한 연구

박기준(Gi-Joon Park),박정준(Jung-Jun Park),김성욱(Sung-Wook Kim),이동규(Dong-Gyu Lee) 한국산학기술학회 2017 한국산학기술학회논문지 Vol.18 No.2

기존의 고유동 콘크리트는 높은 분체계로 인해 수화열과 수축의 증대, 비경제적인 강도발현 등의 문제점이 발생하여 일반강도 범위의 콘크리트에는 사용범위가 제한하고 있다. 그러나 공사품질의 향상과 더불어 공사비 절감, 공기단축 등의 이점으로 일반강도 수준의 고유동 콘크리트의 필요성이 대두되고 있다. 이를 위해 본 연구에서는 점성을 최소화하고 재료분리 저항성은 극대화 된 저분체 고유동 콘크리트를 제조하기 위하여 적절한 증점제의 사용방법과 최적 배합을 검토하고 제조된 콘크리트의 특성을 검토하였다. 다양한 증점제를 대상으로 역학적 특성 평가를 통해 저분체 고유동 콘크리트 제조에 적합한 증점제를 선정하였으며, 그 결과 아크릴계(Acrylic. 이하 AC) 및 우레탄계(Urethane, 이하 UT) 증점제가 재료분리가 발생하지 않는 범위에서 가장 우수한 성능을 나타내어 가장 적합한 것으로 나타났다. 선정된 AC 및 UT 증점제의 최적 혼입량을 검토하기 위하여 두 물질의 혼합사용 및 고성능 감수제와 일액화를 통한 배합실험을 하였으며, 그 결과 AC 및 UT 증점제의 비율이 5:5인 경우 유동성 증대 및 점성 저감 효과가 증가함에 따라 저분체 고유동 콘크리트에 가장 적합한 것으로 나타났다. The practical applications of ordinary high-fluidity concrete have been limited due to several drawbacks, such as high hydration heat, high amount of shrinkage, and non-economic strength development. On the other hand, due to its advantages, such as improvement of construction quality, reduction of construction cost and period, the development of high-fluidity concrete is a pressing need. This study examined the properties of high-fluidity concrete, which can be manufactured on the low binders using a viscosity agent to prevent the segregation of materials. The optimal viscosity agent was selected by an evaluation of the mechanical properties of high-fluidity concrete among six viscosity agents. The acrylic type and urethane type viscosity agents showed the best performance within the range where no material separation occurred. The mechanical properties were evaluated to examine the optimal amount of AC and UT viscosity agent added by mixing two viscosity agents according to the adding ratio and blending them together with high performance water reducing agent. When the ratio of the AC : UT viscosity agents was 5:5, it was most suited for high-fluidity concrete with low binders by increasing the workability and effect of the reducing viscosity.

Estimating the workability of self-compacting concrete in different mixing conditions based on deep learning

Liu Yang,Xuehui An 사단법인 한국계산역학회 2020 Computers and Concrete, An International Journal Vol.25 No.5

A method is proposed in this paper to estimate the workability of self-compacting concrete (SCC) in different mixing conditions with different mixers and mixing volumes by recording the mixing process based on deep learning (DL). The SCC mixing videos were transformed into a series of image sequences to fit the DL model to predict the SF and VF values of SCC, with four groups in total and approximately thirty thousand image sequence samples. The workability of three groups SCC whose mixing conditions were learned by the DL model, was estimated. One additionally collected group of the SCC whose mixing condition was not learned, was also predicted. The results indicate that whether the SCC mixing condition is included in the training set and learned by the model, the trained model can estimate SCC with different workability effectively at the same time. Our goal to estimate SCC workability in different mixing conditions is achieved.