폴리머 콘크리트의 압축 및 휨강도 발현 특성

김남길,연규석 한국농공학회 2018 한국농공학회논문집 Vol.60 No.1

This study experimentally investigated the compressive and flexyral strength development characteristics of polymer concrete using four different type polymeric resins such as unsaturated polyester, vinyl ester, epoxy, and PMMA (polymethyl methacrylate) as binders. The test results show that the average compressive strength of those four different polymer concretes was 88.70 MPa, the average flexural strength was 20.30 MPa. Those test results show that compressive and flexural strengths of polymer concrete were much stronger than compressive and flexural strengths of ordinary Portland cement concrete. In addition, the relative gains of the compressive strength development at the age of 24 hrs compared to the age of 168 hrs were 68.6~88.3 %. Also, the relative gains of the flexural strength development at the age of 24 hrs compared to the age of 168 hrs were 73.8~93.4 %. These test results show that compressive and flexural strengths of each polymer concrete tested in this study were developed at the early age. Moreover, the prediction equations of compressive and flexural strength developments regarding the age were determined. The determined prediction equations could be applied to forecast the compressive and flexural strength developments of polymer concrete investigated in this study because those prediction equations have the high coefficients of correlation. Last, the relations between the compressive strength and the flexural strength of polymer concrete were determined and the flexural/compressive strength ratios were from 1/4 to 1/5. These results show that polymer concretes investigated in this study were appropriate as a flexural member of a concrete structure because the flexural/compressive strength ratios of polymer concrete were much higher than the flexural/compressive strength ratios of Portland cement concrete.

Prediction of compressive strength of concrete using multiple regression model

Chore, H.S.,Shelke, N.L. Techno-Press 2013 Structural Engineering and Mechanics, An Int'l Jou Vol.45 No.6

In construction industry, strength is a primary criterion in selecting a concrete for a particular application. The concrete used for construction gains strength over a long period of time after pouring the concrete. The characteristic strength of concrete is defined as the compressive strength of a sample that has been aged for 28 days. Neither waiting for 28 days for such a test would serve the rapidity of construction, nor would neglecting it serve the quality control process on concrete in large construction sites. Therefore, rapid and reliable prediction of the strength of concrete would be of great significance. On this backdrop, the method is proposed to establish a predictive relationship between properties and proportions of ingredients of concrete, compaction factor, weight of concrete cubes and strength of concrete whereby the strength of concrete can be predicted at early age. Multiple regression analysis was carried out for predicting the compressive strength of concrete containing Portland Pozolana cement using statistical analysis for the concrete data obtained from the experimental work done in this study. The multiple linear regression models yielded fairly good correlation coefficient for the prediction of compressive strength for 7, 28 and 40 days curing. The results indicate that the proposed regression models are effectively capable of evaluating the compressive strength of the concrete containing Portaland Pozolana Cement. The derived formulas are very simple, straightforward and provide an effective analysis tool accessible to practicing engineers.

AN EXPERIMENTAL INVESTIGATION ON MINIMUM COMPRESSIVE STRENGTH OF EARLY AGE CONCRETE TO PREVENT FROST DAMAGE FOR NUCLEAR POWER PLANT STRUCTURES IN COLD CLIMATES

Koh, Kyung-Taek,Park, Chun-Jin,Ryu, Gum-Sung,Park, Jung-Jun,Kim, Do-Gyeum,Lee, Jang-Hwa Korean Nuclear Society 2013 Nuclear Engineering and Technology Vol.45 No.3

Concrete undergoing early frost damage in cold weather will experience significant loss of not only strength, but also of permeability and durability. Accordingly, concrete codes like ACI-306R prescribe a minimum compressive strength and duration of curing to prevent frost damage at an early age and secure the quality of concrete. Such minimum compressive strength and duration of curing are mostly defined based on the strength development of concrete. However, concrete subjected to frost damage at early age may not show a consistent relationship between its strength and durability. Especially, since durability of concrete is of utmost importance in nuclear power plant structures, this relationship should be imperatively clarified. Therefore, this study verifies the feasibility of the minimum compressive strength specified in the codes like ACI-306R by evaluating the strength development and the durability preventing the frost damage of early age concrete for nuclear power plant. The results indicate that the value of 5 MPa specified by the concrete standards like ACI-306R as the minimum compressive strength to prevent the early frost damage is reasonable in terms of the strength development, but seems to be inappropriate in the viewpoint of the resistance to chloride ion penetration and freeze-thaw. Consequently, it is recommended to propose a minimum compressive strength preventing early frost damage in terms of not only the strength development, but also in terms of the durability to secure the quality of concrete for nuclear power plants in cold climates.

An Experimental Investigation on Minimum Compressive Strength of Early Age Concrete to Prevent Frost Damage for Nuclear Power Plant Structures in Cold Climates

고경택,박천진,류금성,박정준,김도겸,이장화 한국원자력학회 2013 Nuclear Engineering and Technology Vol.45 No.3

Concrete undergoing early frost damage in cold weather will experience significant loss of not only strength, but also of permeability and durability. Accordingly, concrete codes like ACI-306R prescribe a minimum compressive strength and duration of curing to prevent frost damage at an early age and secure the quality of concrete. Such minimum compressive strength and duration of curing are mostly defined based on the strength development of concrete. However, concrete subjected to frost damage at early age may not show a consistent relationship between its strength and durability. Especially,since durability of concrete is of utmost importance in nuclear power plant structures, this relationship should be imperatively clarified. Therefore, this study verifies the feasibility of the minimum compressive strength specified in the codes like ACI-306R by evaluating the strength development and the durability preventing the frost damage of early age concrete for nuclear power plant. The results indicate that the value of 5 MPa specified by the concrete standards like ACI-306R as the minimum compressive strength to prevent the early frost damage is reasonable in terms of the strength development, but seems to be inappropriate in the viewpoint of the resistance to chloride ion penetration and freeze-thaw. Consequently, it is recommended to propose a minimum compressive strength preventing early frost damage in terms of not only the strength development, but also in terms of the durability to secure the quality of concrete for nuclear power plants in cold climates.

Neuro-fuzzy based approach for estimation of concrete compressive strength

Xinhua Xue,Hongwei Zhou 사단법인 한국계산역학회 2018 Computers and Concrete, An International Journal Vol.21 No.6

Compressive strength is one of the most important engineering properties of concrete, and testing of the compressive strength of concrete specimens is often costly and time consuming. In order to provide the time for concrete form removal, re-shoring to slab, project scheduling and quality control, it is necessary to predict the concrete strength based upon the early strength data. However, concrete compressive strength is affected by many factors, such as quality of raw materials, water cement ratio, ratio of fine aggregate to coarse aggregate, age of concrete, compaction of concrete, temperature, relative humidity and curing of concrete. The concrete compressive strength is a quite nonlinear function that changes depend on the materials used in the concrete and the time. This paper presents an adaptive neuro-fuzzy inference system (ANFIS) for the prediction of concrete compressive strength. The training of fuzzy system was performed by a hybrid method of gradient descent method and least squares algorithm, and the subtractive clustering algorithm (SCA) was utilized for optimizing the number of fuzzy rules. Experimental data on concrete compressive strength in the literature were used to validate and evaluate the performance of the proposed ANFIS model. Further, predictions from three models (the back propagation neural network model, the statistics model, and the ANFIS model) were compared with the experimental data. The results show that the proposed ANFIS model is a feasible, efficient, and accurate tool for predicting the concrete compressive strength.

Prediction of compressive strength of concrete using multiple regression model

H.S. Chore,N.L. Shelke 국제구조공학회 2013 Structural Engineering and Mechanics, An Int'l Jou Vol.45 No.6

In construction industry, strength is a primary criterion in selecting a concrete for a particular application. The concrete used for construction gains strength over a long period of time after pouring the concrete. The characteristic strength of concrete is defined as the compressive strength of a sample that has been aged for 28 days. Neither waiting for 28 days for such a test would serve the rapidity of construction, nor would neglecting it serve the quality control process on concrete in large construction sites. Therefore, rapid and reliable prediction of the strength of concrete would be of great significance. On this backdrop, the method is proposed to establish a predictive relationship between properties and proportions of ingredients of concrete, compaction factor, weight of concrete cubes and strength of concrete whereby the strength of concrete can be predicted at early age. Multiple regression analysis was carried out for predicting the compressive strength of concrete containing Portland Pozolana cement using statistical analysis for the concrete data obtained from the experimental work done in this study. The multiple linear regression models yielded fairly good correlation coefficient for the prediction of compressive strength for 7, 28 and 40 days curing. The results indicate that the proposed regression models are effectively capable of evaluating the compressive strength of the concrete containing Portaland Pozolana Cement. The derived formulas are very simple, straightforward and provide an effective analysis tool accessible to practicing engineers.

Multi-axial strength criterion of lightweight aggregate (LWA) concrete under the Unified Twin-shear strength theory

Li-cheng Wang 국제구조공학회 2012 Structural Engineering and Mechanics, An Int'l Jou Vol.41 No.4

The strength theory of concrete is significant to structure design and nonlinear finite element analysis of concrete structures because concrete utilized in engineering is usually subject to the action of multi-axial stress. Experimental results have revealed that lightweight aggregate (LWA) concrete exhibits plastic flow plateau under high compressive stress and most of the lightweight aggregates are crushed at this stage. For the purpose of safety, therefore, in the practical application the strength of LWA concrete at the plastic flow plateau stage should be regarded as the ultimate strength under multi-axial compressive stress state. With consideration of the strength criterion, the ultimate strength surface of LWA concrete under multi-axial stress intersects with the hydrostatic stress axis at two different points, which is completely different from that of the normal weight concrete as that the ultimate strength surface is openended. As a result, the strength criteria aimed at normal weight concrete do not fit LWA concrete. In the present paper, a multi-axial strength criterion for LWA concrete is proposed based on the Unified Twin-Shear Strength (UTSS) theory developed by Prof Yu (Yu et al. 1992), which takes into account the above strength characteristics of LWA under high compressive stress level. In this strength criterion model, the tensile and compressive meridians as well as the ultimate strength envelopes in deviatoric plane under different hydrostatic stress are established just in terms of a few characteristic stress states, i.e., the uniaxial tensile strength ft, the uniaxial compressive strength fc, and the equibiaxial compressive fbc. The developed model was confirmed to agree well with experimental data under different stress ratios of LWA concrete.

해사 사용 고강도 콘크리트의 물성에 관한 실험적 연구

정영수,배수호,박종협 한국콘크리트학회 1996 콘크리트학회지 Vol.8 No.3

국내 건설경기의 비약적인 신장으로 인한 하천사의 고갈로 해사의 사용이 매년 급증하고 있는 추세이다. 시방서 조건을 만족시키지 않는 무분별한 해사의 사용은 저품질 콘크리트의 시공으로 이어져, 이는 곧바로 구조물의 내구성에 치명적인 영향을 끼쳐 사회적으로 엄청난 슬픔과 재난을 몰고 올 대규모 참사를 야기시킬 수도 있다는 점에서 해사를 사용한 콘크리트에 대한 물리적 특성의 규명이 시급한 실정이라 할 수 있다. 따라서 본 연구는 해사를 이용한 고강도 콘크리트를 개발하기 위한 실험적 연구로서 양질의 하천사를이용한 고강도 콘크리트와 해사를 이용한 고강도 콘크리트의 물리적 특성을 서로 비교.분석하여 해사를 이용한 고강도 콘크리트를 실제의 콘크리트 공사에 적극적으로 활용하는데 그 목적이 있다. 해사를 이용한 고강도 콘크리트의 실험적 규명은 고강도 콘크리트의 구조물 설계시 중요한 설계자료로 이용될 수 있다. 따라서 본 연구는 콘크리트용 혼화재로서 실리카흄의 사용유무에 따라 최대압축강도를 발현시키는 물-시멘트비(불-결합재비)의 한계값을 결정하고, 정탄성계수의 실험으로 현행 콘크리트 표준시방서의 탄성계수 계산식의 적용범위를 제시한 후, 압축강도 $330~800kgf/cm^2$인 고강도 콘크리트의 탄성계수와 할렬인장강도 및 휨인장강도를 예측할 수 있는 제안식을 도출해 냈다. Recent construction activity of infrastructures has been booming and accelerating to incur shortage of river sand for concrete works. Thus, sea sand has been excessively used instead of river sa.nd, that directly causes to decrease the quality and the durability of concrete, and then might lead to the collapse of concrete structures. The purpose of this experimental research is not only to develop high-strength concrete using sea sand, but also to investigate mechanical properties of high-strength concrete, such as elastic moduli, compressive strength and etc, which could be used for important design data of concrete structures. Rational analytic formula for elastic moduli have been proposed together with those for the splitting tensile strength and the flexural strength, which are to be predicted from compressive strength of concrete cylinder. Optimum water-cement and water-binder ratio have been experimentally obtained so as to develop high compressive strength with and without using silica fume as a admixture for concrete. It is noted that experimental elastic moduli for high strength concrete above aCk=330kgf /cm2 are less than those by the Code. Appropriate amount of concrete mixture has been experimentally investigated so as to develop maximum compressive, flexural and splitting tensile strength.

Multi-axial strength criterion of lightweight aggregate (LWA) concrete under the Unified Twin-shear strength theory

Wang, Li-Cheng Techno-Press 2012 Structural Engineering and Mechanics, An Int'l Jou Vol.41 No.4

The strength theory of concrete is significant to structure design and nonlinear finite element analysis of concrete structures because concrete utilized in engineering is usually subject to the action of multi-axial stress. Experimental results have revealed that lightweight aggregate (LWA) concrete exhibits plastic flow plateau under high compressive stress and most of the lightweight aggregates are crushed at this stage. For the purpose of safety, therefore, in the practical application the strength of LWA concrete at the plastic flow plateau stage should be regarded as the ultimate strength under multi-axial compressive stress state. With consideration of the strength criterion, the ultimate strength surface of LWA concrete under multi-axial stress intersects with the hydrostatic stress axis at two different points, which is completely different from that of the normal weight concrete as that the ultimate strength surface is open-ended. As a result, the strength criteria aimed at normal weight concrete do not fit LWA concrete. In the present paper, a multi-axial strength criterion for LWA concrete is proposed based on the Unified Twin-Shear Strength (UTSS) theory developed by Prof Yu (Yu et al. 1992), which takes into account the above strength characteristics of LWA under high compressive stress level. In this strength criterion model, the tensile and compressive meridians as well as the ultimate strength envelopes in deviatoric plane under different hydrostatic stress are established just in terms of a few characteristic stress states, i.e., the uniaxial tensile strength $f_t$, the uniaxial compressive strength $f_c$, and the equibiaxial compressive $f_{bc}$. The developed model was confirmed to agree well with experimental data under different stress ratios of LWA concrete.

A neural-based predictive model of the compressive strength of waste LCD glass concrete

Chih-Han Kao,Chien-Chih Wang,Her-Yung Wang 사단법인 한국계산역학회 2017 Computers and Concrete, An International Journal Vol.19 No.5

The Taiwanese liquid crystal display (LCD) industry has traditionally produced a huge amount of waste glass that is placed in landfills. Waste glass recycling can reduce the material costs of concrete and promote sustainable environmental protection activities. Concrete is always utilized as structural material; thus, the concrete compressive strength with a variety of mixtures must be studied using predictive models to achieve more precise results. To create an efficient waste LCD glass concrete (WLGC) design proportion, the related studies utilized a multivariable regression analysis to develop a compressive strength waste LCD glass concrete equation. The mix design proportion for waste LCD glass and the compressive strength relationship is complex and nonlinear. This results in a prediction weakness for the multivariable regression model during the initial growing phase of the compressive strength of waste LCD glass concrete. Thus, the R ratio for the predictive multivariable regression model is 0.96. Neural networks (NN) have a superior ability to handle nonlinear relationships between multiple variables by incorporating supervised learning. This study developed a multivariable prediction model for the determination of waste LCD glass concrete compressive strength by analyzing a series of laboratory test results and utilizing a neural network algorithm that was obtained in a related prior study. The current study also trained the prediction model for the compressive strength of waste LCD glass by calculating the effects of several types of factor combinations, such as the different number of input variables and the relevant filter for input variables. These types of factor combinations have been adjusted to enhance the predictive ability based on the training mechanism of the NN and the characteristics of waste LCD glass concrete. The selection priority of the input variable strategy is that evaluating relevance is better than adding dimensions for the NN prediction of the compressive strength of WLGC. The prediction ability of the model is examined using test results from the same data pool. The R ratio was determined to be approximately 0.996. Using the appropriate input variables from neural networks, the model validation results indicated that the model prediction attains greater accuracy than the multivariable regression model during the initial growing phase of compressive strength. Therefore, the neural-based predictive model for compressive strength promotes the application of waste LCD glass concrete.