• 제목/요약/키워드: Long Term Compressive Strength

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Long-term development of compressive strength and elastic modulus of concrete

  • Yang, Shuzhen;Liu, Baodong;Yang, Mingzhe;Li, Yuzhong
    • Structural Engineering and Mechanics
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    • 제66권2호
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    • pp.263-271
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    • 2018
  • Compressive strength and elastic modulus of concrete are constantly changing with age. In order to determine long-term development of compressive strength and elastic modulus of concrete, an investigation of C30 concrete cured in air conditions was carried out. Changes of compressive strength and elastic modulus up to 975 days were given. The results indicated that compressive strength and elastic modulus of concrete rapidly increased with age during the initial 150 days and then increased slowly. The gain in elastic modulus was slower than that of compressive strength. Then relationships of time-compressive strength, time-elastic modulus and compressive strength-elastic modulus were proposed by regression analysis and compared with other investigations. The trends of time-compressive strength and time-elastic modulus with age agreed best with ACI 209R-92. Finally, factors contributed to long-term development of compressive strength and elastic modulus of concrete were proposed and briefly analyzed.

Long-term quality control of self-compacting semi-lightweight concrete using short-term compressive strength and combinatorial artificial neural networks

  • Mazloom, Moosa;Tajar, Saeed Farahani;Mahboubi, Farzan
    • Computers and Concrete
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    • 제25권5호
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    • pp.401-409
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    • 2020
  • Artificial neural networks are used as a useful tool in distinct fields of civil engineering these days. In order to control long-term quality of Self-Compacting Semi-Lightweight Concrete (SCSLC), the 90 days compressive strength is considered as a key issue in this paper. In fact, combined artificial neural networks are used to predict the compressive strength of SCSLC at 28 and 90 days. These networks are able to re-establish non-linear and complex relationships straightforwardly. In this study, two types of neural networks, including Radial Basis and Multilayer Perceptron, were used. Four groups of concrete mix designs also were made with two water to cement ratios (W/C) of 0.35 and 0.4, as well as 10% of cement weight was replaced with silica fume in half of the mixes, and different amounts of superplasticizer were used. With the help of rheology test and compressive strength results at 7 and 14 days as inputs, the neural networks were used to estimate the 28 and 90 days compressive strengths of above-mentioned mixes. It was necessary to add the 14 days compressive strength in the input layer to gain acceptable results for 90 days compressive strength. Then proper neural networks were prepared for each mix, following which four existing networks were combined, and the combinatorial neural network model properly predicted the compressive strength of different mix designs.

고강도 플라이애쉬 콘크리트의 강도 및 작업성 특성 (Strength and Workability Characteristics of High-Strength Fly Ash Concrete)

  • 김진근;박연동;성근열
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 1990년도 가을 학술발표회 논문집
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    • pp.125-130
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    • 1990
  • Fly Ash in concrete is known to be effective in improving workability, the reduction of heat of hydration, increasing the long-term compressive strength, and improving durability. Recently, fly ash is consedered an essential material for the high-strength concrete. In this paper, investigations for the strength and workability characteristics was carried out when fly ash was used in the high-strength concrete. As the result, fly ash was effective in increasing the long-term compressive strength, but the short-term compressive strength was gradually decreased with increating fly ash contents. And also the use of superplasticzers was required for providing the proper workability when fly ash contents were increased. The optimum content of fly ash was about 10%.

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하수슬러지 소각재와 무기바인더를 이용한 응용 블록 개발 II (Development of Application Block Using Geobond and Ash from Sewage Sludge Incinerator II)

  • 이현주
    • 대한환경공학회지
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    • 제37권7호
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    • pp.412-417
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    • 2015
  • 본 연구는 하수처리장에서 발생하는 하수슬러지 소각재와 Geobond를 이용한 응용 블록의 개발을 위하여 수행하였다. 실험은 무소성 공정으로 진행하였으며, Sewage Sludge Ash (SSA)를 Geobond(무기바인더)와 특수시멘트인 초조강 시멘트 마이크로 시멘트, 모래 등의 바인더를 혼합한 각각의 페이스트 시편을 성형 후 건조 및 양생과정을 거친 시편을 단기 압축강도를 측정한 후 28일 장기 양생한 결과 압축 강도가 64.6 MPa로 발현하였다. 이는 KS기준치 22.54 MPa ($229.7kg/cm^2$)을 훨씬 상회하는 고강도의 압축강도를 나타내었다. 하수슬러지 소각재(SSA) 첨가율은 각 바인더 별 약 10~40%까지 혼합 가능한 것으로 나타났다. 따라서 SSA를 무기바인더인 Geobond와 특수시멘트(HESPC, MC)의 대체 물질로의 사용이 가능함을 입증하였다.

Strength Development of High-Strength Concrete in Structure

  • Msuda, Yochihiro
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 2000년도 가을 학술발표회논문집(I)
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    • pp.31-45
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    • 2000
  • Because of the high unit cement content in the concrete mix, major concrete temperature rises are observed in the initial stages of hardening in structural members with large cross-sections made of high-strength concrete. While this temperature rise in the initial stages of hardening contributes to the initial development of the concrete strength, it also causes thermal cracking and obstructs medium to long-term increases of the concrete strength. In the study reports below, investigations were made on the effects of the concrete temperature rise in the initial stages of hardening on the medium to long-term development of the strength of structural concrete between the ages of 28 and 91 days. In the study, comparisons were made, for example, between the compressive strength of a control specimen subjected to standard curing at 28 days and the compressive strength of core specimens taken from structural members, and observations were made on the methods of evaluating the concrete strength in structure, defined here as the compressive strength of core specimens at 91 days. The results obtained indicate that, when the maximum temperature of the concrete is the structure does not exceed $60^{\circ}C$, the concrete strength in structure at the age of long-term will generally be greater than the compressive strength of the standard-curing specimens at 28 days, allowing one to evaluate the strength of the structural concrete in terms of the compressive strength of the 28-days standard-curing specimens. When, on the other hand, the maximum temperature of the concrete in the structure exceeds $60^{\circ}C$, the strength in concrete structure may be smaller than the compressive strength of the 28-days standard-curing specimens, creating risks in the evaluation of the concrete strength in structure by latter.

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Early-Age Properties of Polymer Fiber-Reinforced Concrete

  • Myers, Daniel;Kang, Thomas H.K.;Ramseyer, Chris
    • International Journal of Concrete Structures and Materials
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    • 제2권1호
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    • pp.9-14
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    • 2008
  • The cracking problem in concrete is widespread and complex. This paper reviews the problem and focuses on those parts of the problem that are more readily solved. Polymer fibers are shown to have promise in several important areas of the cracking problem. To investigate one of these areas of the cracking problem more completely, an experimental research program focusing on the early-age properties of fibers was carried out. This study researched the properties of four polymer fibers; two of the fibers were macrofibers, and two were microfibers. Each fiber was tested at several dosage rates to identify optimum dosage levels. Early-age shrinkage, long-term shrinkage, compressive strength, and tensile strength were investigated. Long-term shrinkage and strength impacts from the polymer fibers were minimal; however, the polymer fibers were shown to have a great impact on early-age shrinkage and a moderate impact on early-age strength.

Prediction of compressive strength of concrete based on accelerated strength

  • Shelke, N.L.;Gadve, Sangeeta
    • Structural Engineering and Mechanics
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    • 제58권6호
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    • pp.989-999
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    • 2016
  • Moist curing of concrete is a time consuming procedure. It takes minimum 28 days of curing to obtain the characteristic strength of concrete. However, under certain situations such as shortage of time, weather conditions, on the spot changes in project and speedy construction, waiting for entire curing period becomes unaffordable. This situation demands early strength of concrete which can be met using accelerated curing methods. It becomes necessary to obtain early strength of concrete rather than waiting for entire period of curing which proves to be uneconomical. In India, accelerated curing methods are used to arrive upon the actual strength by resorting to the equations suggested by Bureau of Indian Standards' (BIS). However, it has been observed that the results obtained using above equations are exaggerated. In the present experimental investigations, the results of the accelerated compressive strength of the concrete are used to develop the regression models for predicting the short term and long term compressive strength of concrete. The proposed regression models show better agreement with the actual compressive strength than the existing model suggested by BIS specification.

The effect of active and passive confining pressure on compressive behavior of STCC and CFST

  • Nematzadeh, Mahdi;Fazli, Saeed
    • Advances in concrete construction
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    • 제9권2호
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    • pp.161-171
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    • 2020
  • In this paper, an experimental study was conducted on the compressive behavior of steel tube confined concrete (STCC) and concrete-filled steel tube (CFST) columns with active and passive confinement. To create active confinement in the STCC and CFST specimens, an innovative method was used in this study, in which by applying pressure on the fresh concrete, the steel tube was laterally pretensioned and the concrete core was compressed simultaneously. Of the benefits of this technique are improving the composite column behavior, without the use of additives and without the need for vibration, and achieving high prestressing levels. To achieve lower and higher prestressing levels, short and long term pressures were applied to the specimens, respectively. Nineteen STCC and CFST specimens in three groups of passive, short-term active, and long-term active confinement were subjected to axial compression, and their mechanical properties including the compressive strength, modulus of elasticity and axial strain were evaluated. The results showed that the proposed method of prestressing the STCC columns led to a significant increase in the compressive strength (about 60%), initial modulus of elasticity (about 130%) as well as a significant reduction in the axial strain (about 45%). In the CFST columns, the prestressing led to a considerable increase in the compressive strength, a small effect on the initial and secant modulus of elasticity and an increase in the axial strain (about 55%). Moreover, increased prestressing levels negligibly affected the compressive strength of STCCs and CFSTs but slightly increased the elastic modulus of STCCs and significantly decreased that of CFSTs.

Prediction of long-term compressive strength of concrete with admixtures using hybrid swarm-based algorithms

  • Huang, Lihua;Jiang, Wei;Wang, Yuling;Zhu, Yirong;Afzal, Mansour
    • Smart Structures and Systems
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    • 제29권3호
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    • pp.433-444
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    • 2022
  • Concrete is a most utilized material in the construction industry that have main components. The strength of concrete can be improved by adding some admixtures. Evaluating the impact of fly ash (FA) and silica fume (SF) on the long-term compressive strength (CS) of concrete provokes to find the significant parameters in predicting the CS, which could be useful in the practical works and would be extensible in the future analysis. In this study, to evaluate the effective parameters in predicting the CS of concrete containing admixtures in the long-term and present a fitted equation, the multivariate adaptive regression splines (MARS) method has been used, which could find a relationship between independent and dependent variables. Next, for optimizing the output equation, biogeography-based optimization (BBO), particle swarm optimization (PSO), and hybrid PSOBBO methods have been utilized to find the most optimal conclusions. It could be concluded that for CS predictions in the long-term, all proposed models have the coefficient of determination (R2) larger than 0.9243. Furthermore, MARS-PSOBBO could be offered as the best model to predict CS between three hybrid algorithms accurately.

공극률을 이용한 고성능 콘크리트의 압축강도 특성 모델링 (Modeling on Compressive Strength in High Performance Concrete Using Porosity)

  • 이학수;권성준
    • 한국구조물진단유지관리공학회 논문집
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    • 제16권6호
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    • pp.124-133
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    • 2012
  • 콘크리트의 강도는 시간에 따라 증가하며, 많은 연구에서 시간에 대한 회귀 분석식을 사용하고 있다. 본 연구는 수화물량을 수화도 및 공극률의 함수로 가정하였으며, 재령의 증가에 따라 감소하는 공극률을 이용하여 고성능 콘크리트의 압축강도 모델링을 수행하였다. 본 연구에서는 기존의 시간에 대한 회귀분석없이 공극률의 감소만을 이용하여 압축강도를 예측하였다. 총 21개의 고성능 콘크리트 배합에 대해 초기재령 콘크리트의 거동 해석프로그램인 DUCOM을 이용하여 각각의 공극률을 도출하였으며, 강도 모델링을 수행하였다. OPC 콘크리트에 대해서 수화도, 단위시멘트량, 공극률의 함수로 강도 예측식을 제안하였으며, GGBFS 및 FA를 혼입한 콘크리트에 대해서는 장기강도 영향을 구현하기 위해 공극률을 고려한 장기강도변수를 도입하였다. 기존의 실험결과와의 비교를 통하여 제안된 강도예측식의 타당성을 입증하였다.