• 제목/요약/키워드: Strength development model

검색결과 700건 처리시간 0.035초

혼화재 종류 변화에 따른 저온조건하 콘크리트의 초기강도 발현 특성 (Strength Development of the Concrete at Early Age subjected to Low Temperature depending on Admixture Types)

  • 한민철
    • 한국건축시공학회지
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    • 제7권4호
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    • pp.145-151
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    • 2007
  • In this paper, tests are carried out in order to investigate the strength development of concrete under various binder types, W/B and curing temperature ranged from $5{\sim}20^{\circ}C$. Fly ash and blast furnace slag were incorporated by as much as 30%, respectively. Strength development of concrete are estimated using Logistic model and strength ratio of concrete at 28days to that at early age are also investigated. According to experimental results, it is found that good agreements are obtained between measured values and calculated ones using logistic model below $20^{\circ}C$. Strength ratio of concrete at 28days to that at early age increases in case W/B decreases and curing temperature increases. Tables and graphs for strength ratio of concrete are provided in this paper. It is capable of obtaining and predicting the periods to attain design strength by considering increment factor of strength easily with the table and graphs presented in this paper. This paper presents the reference data to decide removal time of form, time to reach target strength and strength inspection of remicon whether the test specimens meet the specified criteria of compressive strength. Multi regression models with respect to the relationship between 7days compressive strength and 28 days compressive strength depending on W/B and admixture types are presented.

고온조건하에서 플라이애시를 사용한 콘크리트의 압축강도증진 해석 (Estimation of Compressive Strength of Fly Ash Concrete subjected to High Temperature)

  • 한민철
    • 한국건축시공학회지
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    • 제6권3호
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    • pp.99-105
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    • 2006
  • In this paper, the estimation of compressive strength of concrete incorporating fly ash subjected to high temperature is discussed. Ordinary Portland cement and fly ash cement(30% of fly ash) were used, respectively. Water to binder ration ranging from 30% to 60% and curing temperature ranging from $20^{\circ}C{\sim}65^{\circ}C$ were also adopted for the experimental parameters. According to results, at the high temperature, FAC had higher strength development at early age than OPC concrete and it kept its high strength development at later age due to accelerated pozzolanic reaction subjected to high temperature. For strength estimation, Logistic model based on maturity equation and Carino model based on equivalent age were applied to verify the availability of estimation model. It shows that fair agreements between calculated values and measured values were obtained evaluating compressive strength with logistic curve. The application of logistic model at high temperature had remarkable deviations in the same maturity. Whereas, the application of Carino model showed good agreements between calculated values and measured ones regardless of type of cement and W/B. However, some correction factors should be considered to enhance the accuracy of strength estimation of concrete.

고온환경 조건하에서 고로슬래그를 사용한 콘크리트의 압축강도 증진 해석 (Estimation of Compressive Strength of Concrete Using Blast Furnace Slag Subjected to High Temperature Environment)

  • 한민철;신병철
    • 한국환경과학회지
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    • 제16권3호
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    • pp.347-355
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    • 2007
  • In this paper, estimation of the compressive strength of the concrete incorporating blast furnace slag subjected to high temperature was discussed. Ordinary Portland cement and blast furnace slag cement (BSC;30% of blast furnace slag) were used, respectively. Water to binder ratio ranging from 30% to 60% and curing temperature ranging from $20^{\circ}C{\sim}65^{\circ}C$ were also chosen for the experimental parameters, respectively. At the high temperature, BSC had higher strength development at early age than OPC concrete and it kept its high strength development at later age due to accelerated latent hydration reaction subjected to high temperature. For the strength estimation, the Logistic model based on maturity equation and the Carino model based on equivalent age were applied to verify the availability of estimation model. It was found that fair agreements between calculated values and measured values were obtained evaluating compressive strength with logistic curve. The application of logistic model at high temperature had remarkable deviations in the same maturity. Whereas, the application of Carino model showed good agreements between calculated values and measured ones regardless of type of cement and W/B. However, some correction factors should be considered to enhance the accuracy of strength estimation of concrete.

등가재령방법에 의한 혼화재 종류별 콘크리트의 압축강도 증진해석 (Estimation of the Compressive Strength of the Concrete incorporating Mineral Admixture based on the Equivalent Age Method)

  • 한민철;한천구
    • 한국건축시공학회지
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    • 제7권1호
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    • pp.71-77
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    • 2007
  • This paper is to investigate the effect of the curing temperature on strength development of concrete incorporating cement kiln dust(CKD) and blast furnace slag (BS) quantitatively. Estimation of the compressive strength of the concrete was conducted using the equivalent age equation and the rate constant model proposed by Carino. Correction of Carino model was studied to secure the accuracy of strength development estimation by introducing correction factors regarding rate constant and age. An increasing curing temperature results in an increase in strength at early age, but with the elapse of age, strength development at high curing temperature decreases compared with that at low curing temperature. Especially, the use of BS has a remarkable strength development at early age and even at later age, high strength is maintained due to accelerated pozzolanic activity resulting from high temperature. Whereas, at low curing temperature, the use of BS leads to a decrease in compressive strength. Accordingly, much attention should be paid to prevent strength loss at low temperature. Based on the strength development estimation using equivalent age equation, good agreements between measured strength and calculated strength are obtained.

Prediction of compressive strength of slag concrete using a blended cement hydration model

  • Wang, Xiao-Yong;Lee, Han-Seung
    • Computers and Concrete
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    • 제14권3호
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    • pp.247-262
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    • 2014
  • Partial replacement of Portland cement by slag can reduce the energy consumption and $CO_2$ emission therefore is beneficial to circular economy and sustainable development. Compressive strength is the most important engineering property of concrete. This paper presents a numerical procedure to predict the development of compressive strength of slag blended concrete. This numerical procedure starts with a kinetic hydration model for cement-slag blends by considering the production of calcium hydroxide in cement hydration and its consumption in slag reactions. Reaction degrees of cement slag are obtained as accompanied results from the hydration model. Gel-space ratio of hardening slag blended concrete is determined using reaction degrees of cement and slag, mixing proportions of concrete, and volume stoichiometries of cement hydration and slag reaction. Furthermore, the development of compressive strength is evaluated through Powers' gel-space ratio theory considering the contributions of cement hydration and slag reaction. The proposed model is verified through experimental data on concrete with different water-to-binder ratios and slag substitution ratios.

적산온도 기법을 활용한 건설생산현장에서의 강도예측모델 개발에 관한 연구 (A Study on Development of Strength Prediction Model for Construction Field by Maturity Method)

  • 김무한;남재현;길배수;최세진;장종호;강용식
    • 한국건축시공학회지
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    • 제2권4호
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    • pp.177-182
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    • 2002
  • The purpose of this study is to develope the strength prediction model by Maturity Method. A maturity function is a mathematical expression to account for the combined effects of time and temperature on the strength development of a cementious mixture. The method of equivalent ages is to use Arrhenius equation which indicates the influence of curing temperature on the initial hydration ratio of cement. For the experimental factors of this study, we selected the concrete mixing of W/C ratio 45, 50, 55 and 60% and curing temperature 5, 10, 20 and $30^{\circ}C$. And we compare and evaluate with logistic model that is existing strength prediction model, because we have to verify adaption possibility of new strength prediction model which is proposed by maturity method. As the results, it is found that investigation of the activation energy that are used to calculate equivalent age is necessary, and new strength prediction model was proved to be more accurate in the strength prediction than logistic model in the early age. Moreover, the use of new model was more reasonable because it has low SSE and high decisive factor.

플라이애시 및 고로슬래그 미분말을 사용한 콘크리트의 강도 발현 예측 모델식 연구 (A Study on Estimation Model of Strength Development of Concrete Using Fly Ash and Ground Granulated Blast-Furnace Slag)

  • 최연왕;박만석;정재권;최병걸;김경환
    • 한국구조물진단유지관리공학회 논문집
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    • 제17권5호
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    • pp.87-93
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    • 2013
  • 최근 콘크리트 산업은 $CO_2$ 가스 배출 저감을 목적으로 플라이애시 및 고로슬래그 미분말 등의 혼화재 사용량이 증가되고 있다. 그러나 국내의 경우 구조설계기준에서 사용되고 있는 강도 발현 예측 모델은 시멘트 종류 및 양생방법에 따른 상수값 ${\beta}_{sc}$를 포틀랜드시멘트에 관해서만 규정함에 따라 플라이애시 및 고로슬래그 미분말을 혼합 사용한 콘크리트의 시간에 따른 강도 발현 특성을 반영하지 못하는 실정이다. 따라서 본 논문에서는 플라이애시 및 고로스래그 미분말을 혼합한 보통강도 및 고강도 영역의 콘크리트의 시간에 따른 강도를 평가하였으며, 혼화재 종류 및 혼합률에 따른 콘크리트 강도발현 상수 ${\beta}_{sc}$ 값을 제안하였다.

바텀애시 및 준설토 기반 인공경량골재 콘크리트의 압축강도 발현 모델 제시 (Proposal for Compressive Strength Development Model of Lightweight Aggregate Concrete Using Expanded Bottom Ash and Dredged Soil Granules)

  • 이경호;양근혁
    • 대한건축학회논문집:구조계
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    • 제34권7호
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    • pp.19-26
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    • 2018
  • This study tested 25 lightweight aggregate concrete (LWAC) mixtures using the expanded bottom ash and dredged soil granules to examine the compressive strength gain of such concrete with different ages. The test parameters investigated were water-to-cement ratios and the natural sand content for the replacement of lightweight fine aggregate. The compressive strength gain rate in the basic equation specified in fib model code was experimentally determined in each mixture and then empirically formulated as a function of the water-to-cement ratio and oven-dried density of concrete. When compared with 28-day compressive strength, the tested LWAC mixtures exhibited relatively low gain ratios (0.49~0.82) at an age of 3 days whereas the gain ratios (1.16~1.41) at 91 days were higher than that (1.05~1.15) of the conventional normal-weight concrete. Thus, the fib model equations tend to overestimate the early strength gain of LWAC but underestimate the long-term strength gain. The proposed equations are in good agreement with the measured compressive strength development of LWAC at different ages, indicating that the mean and standard deviation of the normalized root mean square errors determined in each mixture are 0.101 and 0.053, respectively.

미세구조 특성을 고려한 초기재령 콘크리트의 강도예측모델 (Strength Estimation Model for Early-Age Concrete Considering Microstructural Characteristics)

  • 황수덕;김의태;이광명
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 2001년도 봄 학술발표회 논문집
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    • pp.397-402
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    • 2001
  • Microstructural characteristics such as hydrates and porosity greatly influence the development of concrete strength. In this study, a strength estimation model for early-age concrete considerig, the microstructural characteristics was proposed, which considers the effects of both an increment of degree of hydration and capillary porosity on a strength increment. Hydration modeling and compressive strength test with curing temperature and curing ages were carried out. By comparing test results with estimated strength, it is found that the strength estimation model can estimate compressive strength of early-age concrete with curing ages and curing temperature within a margin of error.

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인공신경망을 이용한 플라이애시 및 실리카 흄 복합 콘크리트의 압축강도 예측 (Prediction of strength development of fly ash and silica fume ternary composite concrete using artificial neural network)

  • 번위결;최영지;왕소용
    • 산업기술연구
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    • 제41권1호
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    • pp.1-6
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    • 2021
  • Fly ash and silica fume belong to industry by-products that can be used to produce concrete. This study shows the model of a neural network to evaluate the strength development of blended concrete containing fly ash and silica fume. The neural network model has four input parameters, such as fly ash replacement content, silica fume replacement content, water/binder ratio, and ages. Strength is the output variable of neural network. Based on the backpropagation algorithm, the values of elements in the hidden layer of neural network are determined. The number of neurons in the hidden layer is confirmed based on trial calculations. We find (1) neural network can give a reasonable evaluation of the strength development of composite concrete. Neural network can reflect the improvement of strength due to silica fume additions and can consider the reductions of strength as water/binder increases. (2) When the number of neurons in the hidden layer is five, the prediction results show more accuracy than four neurons in the hidden layer. Moreover, five neurons in the hidden layer can reproduce the strength crossover between fly ash concrete and plain concrete. Summarily, the neural network-based model is valuable for design sustainable composite concrete containing silica fume and fly ash.