• 제목/요약/키워드: Self-aggregate

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A Study of the Basic Properties of Lightweight Aggregate Concrete for Offshore Structures Application (해양구조물 적용을 위한 경량골재콘크리트의 기초물성에 관한 연구)

  • Kim, Myung-Sik;Jang, Hee-Suk;Kim, Chung-Ho;Baek, Dong-Il
    • Journal of Ocean Engineering and Technology
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    • 제25권1호
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    • pp.73-79
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    • 2011
  • The various properties of concrete have been required, as civil engineering structures are getting larger and complicated. Therefore, the high performance of concrete, such as high strength, high fluidity, and low hydration heat, has been investigated largely. In this study, the properties of lightweight concrete-reducing self-weight of structure member have been studied in order to check the applicability of lightweight aggregate concrete to structural material. The experiments on compressive strength, splitting tensile strength, unit weight, and modulus of elasticity have been conducted with varying PLC, LWCI, LWCII, LWCII-SF5, LWCII-SF15 to check the basic properties. The compressive strength of 21MPa was obtained easily by using lightweight aggregate concrete and the addition of silica fume to increase the compressive strength slightly. To use lightweight aggregate concrete for civil engineering structures, systematic and rigorous studies are necessary.

An Experimental Study on the Mixing and Mechanical Properties of Artificial Lightweight Aggregate(ALA) Concrete (인공경량골재 콘크리트의 배합과 역학적 성상에 관한 실험적 연구)

  • 김화중;김태섭;전명훈;안상건
    • Proceedings of the Korea Concrete Institute Conference
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    • 한국콘크리트학회 1991년도 봄 학술발표회 논문집
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    • pp.99-104
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    • 1991
  • It is necessary to generalize the use for structural ALA Concrete in our country, as increasing in the need for the development of ALA and the use of ALA Concrete which is related with the diminution of the self load and foundation section of structure responding to the realistic requirement against the decrease of natural aggregate and the high-rising and large-sizing of structures. This little study, therefore intended to help in the mixing design of concrete by considering the fundamental properties of ALA Concrete used with expanded clay, which is considered by acopting the experimental factors such as unit cement content, water cement ratio and the rate of fine aggregate. By considering the results of this experiment, it has difficulty in getting expected slump with the unit water content of normal concrete because of the large absorption of lightweight aggregate, and because the weight of unit volume and specific gravity ALA Concrete are small it appears that the strength and Elastic Modulus of that are small too and that it is more ductile than normal concrete.

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Mix Design of High Performance Concrete (고성능콘크리트의 배합설계)

  • Jung Yong-Wook;Lee Seung-Han;Yun Yong-Ho
    • Proceedings of the Korea Concrete Institute Conference
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    • 한국콘크리트학회 2005년도 봄학술 발표회 논문집(II)
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    • pp.73-76
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    • 2005
  • This study aims to suggest a simple and convenient design for a mix proportion method for high performance concrete by determining the optimum fine aggregate ratio and minimum binder content based on the maximum density theory. The mix design method introduced in this study adopted the optimum fine aggregate ratio with a minimum void and binder content higher than the minimum binder content level. The research results reveal that the method helps to reduce trial and error in the mixing process and is a convenient way of producing high performance concrete with self filler ability. In an experiment based on the mix proportion method, when aggregate with the fine aggregation ratio of 41$\%$ was used, the minimum binder content of high performance concrete was 470kg/$m^{3}$ and maximum aggregate capacity was $0.657m^{3}/m^{3}$. In addition, in mixing high performance concrete, the optimal slump flow to meet filler ability was 65$\pm$5cm, V load flow speed ranged from 0.5 to 1.5.

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Experimental Study on mixing of Recycled Concrete Fine Aggregate in Self-Consolidating Concrete (자기충전 콘크리트의 재생골재 혼입을 위한 실험적 연구)

  • Song, Il-Hyun;Ryou, Jae-Suk;Kim, Jong-Pil;Park, Kwang-Pil;Kim, Seong-Soo
    • Proceedings of the Korea Concrete Institute Conference
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    • 한국콘크리트학회 2008년도 추계 학술발표회 제20권2호
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    • pp.573-576
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    • 2008
  • Recently, it is the well-known that there are some kinds of problem the waste concrete generated while repairing, reinforcing and dismantling of structures in the domestic and overseas. In this paper, various tests were performed about the use of the recycled concrete fine aggregate for the materials of high quality and structural concrete. And also, in order to improve structural performance of the concrete structure the steel frame was under overcrowded arrangement of steel bar. Consequently, it was be necessary the Self-Consolidating Concrete(SCC) that can fill the concrete into the work-form corner which has become overcrowded arrangement of steel bar without any other vibration. The purpose of this study is related to the properties of Self-Consolidating Concrete(SCC) according to mixing ratio of recycled concrete fine aggregate.

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Effect of pumice powder and artificial lightweight fine aggregate on self-compacting mortar

  • Etli, Serkan;Cemalgil, Selim;Onat, Onur
    • Computers and Concrete
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    • 제27권3호
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    • pp.241-252
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    • 2021
  • An experimental program was conducted to investigate the fresh properties, mechanical properties and durability characteristics of the self-compacting mortars (SCM) produced with pumice powder and Artificial Lightweight Fine Aggregate (aLWFA). aLWFA was produced by using fly ash. A total of 16 different mixtures were designed with a constant water-binder ratio of 0.37, in which natural sands were partially replaced with aLWFA and pumice powder at different volume fractions of 5%, 10% and 15%. The artificial lightweight aggregates used in this study were manufactured through cold bonding pelletisation of 90% of class-F fly ash and 10% of Portland cement in a tilted pan with an ambient temperature and moisture content. Flowability tests were conducted on the fresh mortar mixtures beforehand, to determine the self-compacting characteristics on the basis of EFNARC. To determine the conformity of the fresh mortar characteristics with the standards, mini-slump and mini-V-funnel tests were carried out. Hardened state tests were conducted after 7, 28 and 56 days to determine the flexural strength and axial compressive strength respectively. Durability, sorptivity, permeability and density tests were conducted at the end of 28 days of curing time. The test results showed that the pumice powder replacement improved both the fresh state and the hardened state characteristics of the mortar and the optimum mixture ratio was determined as 15%, considering other studies in the literature. In the aLWFA mixtures used, the mechanical and durability characteristics of the modified compositions were very close to the control mixture. It is concluded in this study that mixtures with pumice powder replacement eliminated the negative effects of the aLWFA in the mortars and made a positive contribution.

Influence of plastic viscosity of mix on Self-Compacting Concrete with river and crushed sand

  • Rama, J.S. Kalyana;Sivakumar, M.V.N.;Kubair, K. Sai;Vasan, A.
    • Computers and Concrete
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    • 제23권1호
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    • pp.37-47
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    • 2019
  • In view of the increasing utility of concrete as a construction material, the major challenge is to improve the quality of construction. Nowadays the common problem faced by many of the concrete plants is the shortage of river sand as fine aggregate material. This led to the utilization of locally available materials from quarries as fine aggregate. With the percentage of fines present in Crushed Rock Fines (CRF)or crushed sand is more compared to river sand, it shows a better performance in terms of fresh properties. The present study deals with the formulation of SCC mix design based on the chosen plastic viscosity of the mix and the measured plastic viscosity of cement pastes incorporating supplementary cementitious materials with CRF and river sand as a fine aggregate. Four different combinations including two binary and one ternary mix are adopted for the current study. Influence of plastic viscosity of the mix on the fresh and hardened properties are investigated for SCC mixes with varying water to cement ratios. It is observed that for an increasing plastic viscosity of the mix, slump flow, T500 and J-ring spread increased but V-funnel and L-box decreased. Compressive, split tensile and flexural strengths decreased with the increase in plastic viscosity.

Predicting the compressive strength of SCC containing nano silica using surrogate machine learning algorithms

  • Neeraj Kumar Shukla;Aman Garg;Javed Bhutto;Mona Aggarwal;Mohamed Abbas;Hany S. Hussein;Rajesh Verma;T.M. Yunus Khan
    • Computers and Concrete
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    • 제32권4호
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    • pp.373-381
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    • 2023
  • Fly ash, granulated blast furnace slag, marble waste powder, etc. are just some of the by-products of other sectors that the construction industry is looking to include into the many types of concrete they produce. This research seeks to use surrogate machine learning methods to forecast the compressive strength of self-compacting concrete. The surrogate models were developed using Gradient Boosting Machine (GBM), Support Vector Machine (SVM), Random Forest (RF), and Gaussian Process Regression (GPR) techniques. Compressive strength is used as the output variable, with nano silica content, cement content, coarse aggregate content, fine aggregate content, superplasticizer, curing duration, and water-binder ratio as input variables. Of the four models, GBM had the highest accuracy in determining the compressive strength of SCC. The concrete's compressive strength is worst predicted by GPR. Compressive strength of SCC with nano silica is found to be most affected by curing time and least by fine aggregate.

Predicting strength of SCC using artificial neural network and multivariable regression analysis

  • Saha, Prasenjit;Prasad, M.L.V.;Kumar, P. Rathish
    • Computers and Concrete
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    • 제20권1호
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    • pp.31-38
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    • 2017
  • In the present study an Artificial Neural Network (ANN) was used to predict the compressive strength of self-compacting concrete. The data developed experimentally for self-compacting concrete and the data sets of a total of 99 concrete samples were used in this work. ANN's are considered as nonlinear statistical data modeling tools where complex relationships between inputs and outputs are modeled or patterns are found. In the present ANN model, eight input parameters are used to predict the compressive strength of self-compacting of concrete. These include varying amounts of cement, coarse aggregate, fine aggregate, fly ash, fiber, water, super plasticizer (SP), viscosity modifying admixture (VMA) while the single output parameter is the compressive strength of concrete. The importance of different input parameters for predicting the strengths at various ages using neural network was discussed in the study. There is a perfect correlation between the experimental and prediction of the compressive strength of SCC based on ANN with very low root mean square errors. Also, the efficiency of ANN model is better compared to the multivariable regression analysis (MRA). Hence it can be concluded that the ANN model has more potential compared to MRA model in developing an optimum mix proportion for predicting the compressive strength of concrete without much loss of material and time.

Effects of Soil on the Fundamental Properties of Concrete in Coarse Aggregate (굵은골재 중 토분이 콘크리트의 기초적 특성에 미치는 영향)

  • Sin, Se-Jun;Lee, Jea-Hyeon;Park, Kyung-Teak;Park, Min-Yong;Han, Min-Cheol;Han, Cheon-Goo
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 한국건축시공학회 2019년도 추계 학술논문 발표대회
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    • pp.157-158
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    • 2019
  • As the aggregate supply and demand shortages in Korea due to the lack of aggregates due to the regulation of production and use conditions of domestic aggregate collectors, the media recently pointed out the distribution of so-called bad aggregates containing soil powder. Such poor aggregates have a high self-absorption rate according to the reference, etc., leading to a decrease in the fluidity of the concrete. Therefore, in order to secure fluidity, the unit quantity increases greatly from $30kg/m^3$ to $55kg/m^3$, and the increased unit yield eventually leads to a decrease in compressive strength, resulting in a decrease in strength from about 35% to 45% compared to general aggregates. It indicates that there is a risk of shortening the life of the structure. Therefore, this study aims to analyze the effect of aggregate soil on concrete.

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The effects of limestone powder and fly ash as an addition on fresh, elastic, inelastic and strength properties of self-compacting concrete

  • Hilmioglu, Hayati;Sengul, Cengiz;Ozkul, M. Hulusi
    • Advances in concrete construction
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    • 제14권2호
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    • pp.93-102
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    • 2022
  • In this study, limestone powder (LS) and fly ash (FA) were used as powder materials in self-compacting concrete (SCC) in increasing quantities in addition to cement, so that the two powders commonly used in the production of SCC could be compared in the same study. Considering the reduction of the maximum aggregate size in SCC, 10 mm or 16 mm was selected as the coarse aggregate size. The properties of fresh concrete were determined by slump flow (including T500 time), V-funnel and J-ring experiments. The experimental results showed that as the amount of both LS and FA increased, the slump flow also increased. The increase in powder material had a negative effect on V-funnel flow times, causing it to increase; however, the increase in FA concretes was smaller compared to LS ones. The increase in the powder content reduced the amount of blockage in the J-ring test for both aggregate sizes. As the hardened concrete properties, the compressive and splitting strengths as well as the modulus of elasticity were determined. Longitudinal and transverse deformations were measured by attaching a special frame to the cylindrical specimens and the values of Poisson's ratio, initiation and critical stresses were obtained. Despite having a similar W/C ratio, all SCC exhibited higher compressive strength than NVC. Compressive strength increased with increasing powder content for both LS and FA; however, the increase of the FA was higher than the LS due to the pozzolanic effect. SCC with a coarse aggregate size of 16 mm showed higher strength than 10 mm for both powders. Similarly, the modulus of elasticity increased with the amount of powder material. Inelastic properties, which are rarely found in the literature for SCC, were determined by measuring the initial and critical stresses. Crack formation in SCC begins under lower stresses (corresponding to lower initial stresses) than in normal concretes, while critical stresses indicate a more brittle behavior by taking higher values.