• Computers and Concrete
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• v.21 no.2
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• pp.111-116
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• 2018

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.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2015.05a
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• pp.42-43
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• 2015

This study has analyze the suitable area of slump and slump flow among the fluidity evaluation of concrete by measuring slum and slump flow variation according to unit quantity and fine aggregate percentage in a low W/C mix. The fluidity of concrete can be expressed well with the slump value when sump value is 122mm or less. On the other hand, the fluidity of concrete can be expressed more accurately with slump flow value when slump is 122mm or greater.

• Journal of The Korean Society of Agricultural Engineers
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• v.46 no.4
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• pp.57-63
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• 2004

This study was performed to evaluate flow properties of polypropylene fiber reinforced high flow concrete. Test results were showed that the slump, slump flow and L-type compacting were decreased with increasing the content of polypropylene fiber. But, the Box-type passing and air content were increased with increasing the content of polypropylene fiber. The slump was $25.5{\sim}27.5cm$, the slump flow was $60{\sim}65cm$, the Box-type passing was $2{\sim}6cm$, the L-type compacting was excellent and air content was $2.7{\sim}3.2cm%$ by the polypropylene fiber content 0.2%, respectively. This concrete can be used for high flow concrete.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2010.05b
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• pp.67-68
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• 2010

Recently, there were not enough studies regarding the mix adjustment and changes of normal physical properties of slump flow type concrete in domestically. Therefore in this paper, it is aimed securing the fundamental data about flow its mix design method by experimental research. The experiment includes the adjustment of the way for slump flow type concrete by the variation of size of coarse aggregate. In the result, it is advisable raising the ratio of fine aggregate and unit water amount by considering the specific surface when increasing the Gmax size.

• Proceedings of the Korea Concrete Institute Conference
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• 1998.04b
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• pp.713-718
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• 1998

This paper deals with the consistency of fresh lightweight polyester mortars as high-performance or multifunctional building materials. Fresh lightweight polyester mortars using an unsaturated polyester resin, lightweight fillers and aggregate are mixed with various mix proportions, and tested for slump-flow and slump as a measure of consistency. At 10, 20 and 3$0^{\circ}C$, the influences of mix proportioning factors on the slump-flow and slump of the lightweight polyester mortars are examined, and the empirical equations for the slump predictions are successfully proposed.

• Proceedings of the Korea Concrete Institute Conference
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• 2006.05b
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• pp.89-92
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• 2006

This study has focused on the possibility for recycling of tailings from the Sangdong tungsten mine as powder of superfluidity self-compacting concrete. The experimental tests for slump-flow, time required to reach 500mm of slump flow(sec), time required to flow through V-funnel(sec) and filling height of U-box test(mm) were carried out in accordance with the specified by the Japanese Society of Civil Engineering(JSCE). The result of this study, in case of superfluidity self-compacting concrete mixed with tailings, slump-flow was decreased with increasing mixing ratio. But time required to reach 500mm of slump flow(sec), time required to flow through V-funnel(sec) and filling height of U-box test(mm) were satisfied a prescribed range.

• International Journal of Highway Engineering
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• v.18 no.3
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• pp.21-32
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• 2016

PURPOSES : In this paper, the analytical solutions suggested to simulate the behavior of rheological fluids were rigorously re-derived and investigated for fixed conditions to evaluate the applicability for the solutions on a mini-cone slump test of cement paste. The selected solutions with proper boundary conditions can be used as reference solutions to evaluate the performance of numerical simulation approaches, such as the discrete element method. METHODS : The slump, height, and spread radius for the given boundary and yield stress conditions that are determined by five different analytical solutions are compared. RESULTS : The analytical solution based on fluid mechanics for pure shear flow shows similar results to that for intermediate flow at low yield stresses. The fluid mechanics-based analytical solution resulted in a very similar trend to the geometry-based analytical solution. However, it showed a higher slump at high yield stress and lower slump at low yield stress ranges than the geometry-based analytical model. The analytical solution based on the mini-cone geometry was not significantly affected by the yield criteria, such as von Mises and Tresca. CONCLUSIONS : Even though differences among the analytical solutions in terms of slump and spread radius existed, the difference can be considered insignificant when the solutions were used as reference to evaluate the appropriateness of numerical approaches, such as the discrete element method.

• Computers and Concrete
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• v.2 no.2
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• pp.97-110
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• 2005

Rheological behaviour of fresh concrete is an important factor in controlling concrete quality. It is recognized that the measurement of the slump is not a sufficient test method to adequately characterize the rheology of fresh concrete. To further understand the slump measurement and its relationship to the rheological properties, an elasto-viscoplastic, 2-D axisymmetric finite element (FE) model is developed. The FE model employs the Bingham material model to simulate the flow of a slump test. An experimental program is carried out using the Slump Rate Machine (SLRM_II) to evaluate the finite element simulation results. The simulated slump-versus-time curves are found to be in good agreement with the measured data. A sensitivity study is performed to evaluate the effects of yield stress, plastic viscosity and cone withdrawal rate on the measured flow curve using the FE model. The results demonstrate that the computed yield stress compares well with reported experimental data. The flow behaviour is shown to be influenced by the yield stress, plastic viscosity and the cone withdrawal rate. Further, it is found that the value of the apparent plastic viscosity is different from the true viscosity, with the difference depending on the cone withdrawal rate. It is also confirmed that the value of the final slump is most influenced by the yield stress.

• Computers and Concrete
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• v.25 no.6
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• pp.565-574
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• 2020

Over the years, several machine learning approaches have been proposed and utilized to create a prediction model for the high-performance concrete (HPC) slump flow. Despite HPC is a highly complex material, predicting its pattern is a rather ambitious process. Hence, choosing and applying the correct method remain a crucial task. Like some other problems, prediction of HPC slump flow suffers from abnormal attributes which might both have an influence on prediction accuracy and increases variance. In recent years, different studies are proposed to optimize the prediction accuracy for HPC slump flow. However, more state-of-the-art regression algorithms can be implemented to create a better model. This study focuses on several methods with different mathematical backgrounds to get the best possible results. Four well-known algorithms Support Vector Regression, M5P Trees, Random Forest, and MLPReg are implemented with optimum parameters as base learners. Also, redundant features are examined to better understand both how ingredients influence on prediction models and whether possible to achieve acceptable results with a few components. Based on the findings, the MLPReg algorithm with optimum parameters gives better results than others in terms of commonly used statistical error evaluation metrics. Besides, chosen algorithms can give rather accurate results using just a few attributes of a slump flow dataset.

• Proceedings of the Korea Concrete Institute Conference
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• 2000.10b
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• pp.915-920
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• 2000

The effectiveness of bottom ash on the slump flow, compressive strength of flowable fill is investigated in this study. This study was undertaken on the use of bottom ash as a fine aggregate in flowable fill. Bottom ash is combined with portland cement, fly ash, and water to flowable fill with slump flow(20~30cm). Four different level of bottom ash with fly ash contents, 25%, 50%, 75%, 100% are investigated. Laboratory test results conclude that the inclusion of bottom ash increases the demand for mixing water n obtaining the require slump flow.