• Computers and Concrete
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• 제20권6호
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• pp.645-654
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• 2017

Continuing from previous studies of sustainable concrete containing environmentally friendly materials and existing modeling approach to predicting concrete properties, this study developed an estimation methodology to predicting the strength of sustainable concrete using an advanced case-based reasoning approach. It was conducted in two steps: (i) establishment of a case database and (ii) development of an advanced case-based reasoning model. Through the experimental studies, a total of 144 observations for concrete compressive strength and tensile strength were established to develop the estimation model. As a result, the prediction accuracy of the A-CBR model (i.e., 95.214% for compressive strength and 92.448% for tensile strength) performed superior to other conventional methodologies (e.g., basic case-based reasoning and artificial neural network models). The developed methodology provides an alternative approach in predicting concrete properties and could be further extended to the future research area in durability of sustainable concrete.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2020년도 봄 학술논문 발표대회
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• pp.25-26
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• 2020

In this study, by applying the concrete compressive strength estimation system Concrete IoT Management System (hereinafter referred to as CIMS) to the concrete slab concrete in the domestic field, the purpose of this study is to confirm the practical use of CIMS and to verify the accuracy of estimating the initial strength of concrete. As a result, it shows a high correlation when the compressive strength and CIMS estimated strength of the specimen for structural management are converted and compared with the integrated temperature. However, in order to determine a more accurate experimental constant, it is necessary to consider the results up to 28 days.

• Computers and Concrete
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• 제17권6호
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• pp.739-760
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• 2016

This paper reports on punching shear behavior of reinforced concrete panels, investigated experimentally and through finite element simulation. The aim of the study was to examine the punching shear of high strength concrete panels incorporating different types of aggregate and silica fume, in order to assess the validity of the existing code models with respect to the role of compressive and tensile strength of high strength concrete. The variables in concrete mix design include three types of coarse aggregates and three water-cementitious ratios, and ten-percent replacement of silica fume. The experimental results were compared with the results produced by empirical prediction equations of a number of widely used codes of practice. The prediction of the punching shear capacity of high strength concrete using the equations listed in this study, pointed to a potential unsafe design in some of them. This may be a reflection of the overestimation of the contribution of compressive strength and the negligence of the role of flexural reinforcement. The overall findings clearly indicated that the extrapolation of the relationships that were developed for normal strength concrete are not valid for high strength concrete within the scope of this study and that finite element simulation can provide a better alternative to empirical code Equations.

• 한국산학기술학회논문지
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• 제19권12호
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• pp.7-13
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• 2018

콘크리트 강도는 시멘트, 물, 자갈, 모래 그리고 혼화재 등 내부영향요인뿐만 아니라 실제 현장에서 발생하는 현장기온과 타설지연시간 등 외부영향요인의 영향을 받게 된다. 본 연구의 목적은 콘크리트 배합설계 시 내부영향요인과 외부영향요인을 고려하여 현장 콘크리트 타설시 최적의 콘크리트 강도를 확보하는 것이다. 본 연구에서는 내부영향요인과 외부영향요인에 대한 수준을 정의하고, 모두 24개의 조합에 대한 콘크리트 강도 테스트를 한 후 콘크리트 강도예측 뉴럴 네트워크 모델을 개발했다. 본 콘크리트 강도예측 뉴럴 네트워크 모델은 현장 콘크리트 타설 시 현장기온과 타설지연시간을 고려하여 콘크리트 강도를 예측하는 기능을 제공한다. 본 콘크리트 강도예측 뉴럴 네트워크 모델은 내부영향요인과 외부영향요인을 분석하고 실제 현장에서 콘크리트를 타설할 때 양생온도와 타설지연시간을 뉴럴 네트워크 입력변수로 처리하여 콘크리트 강도를 예측하는 기능을 제공한다. 시공사는 콘크리트 강도예측 결과를 활용하여 콘크리트 배합을 조정함으로써 현장타설 콘크리트 강도를 관리할 수 있을 것이다.

• 한국구조물진단유지관리공학회 논문집
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• 제19권3호
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• pp.122-129
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• 2015

본 연구에서는 일반강도 슬래브가 기둥 사이로 지나가는 형태의 모서리 기둥에 대한 유효압축강도 예측식을 개발하고자 하였다. 예측식 개발을 위해서 고강도 기둥-일반강도 슬래브 접합부와 조적조 구조의 유사성을 이용하였으며, 이에 더하여 기둥 단면치수에 대한 슬래브 두께의 형상비를 고려하였다. 제안된 식에 의한 예측값과 실험값의 비교를 통해 신뢰도를 확인하였으며, 설계기준 및 타 연구자들에 의한 제안식과 비교를 통해 우수성을 검증하였다. 연구결과, 제안식은 예측치에 대한 실험값의 비가 평균 1.02, 표준편차 0.15를 보여 콘크리트 구조기준 (2012)을 포함한 타 유효압축강도 예측식들에 비해 정확도 및 일관성 모두 우수한 결과를 나타냈다.

• 콘크리트학회논문집
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• 제19권1호
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• pp.75-81
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• 2007

콘크리트는 전체 체적의 $70{\sim}80%$가 골재로 이루어져 있다. 따라서 골재의 품질은 콘크리트 특성에 지대한 영향을 미친다. 현재 건설 현장에서는 부순모래 콘크리트의 비파괴 강도 추정을 일반적으로 슈미트해머를 이용한 반발 경도법이나 초음파를 이용한 초음파속도법 그리고 둘을 조합한 복합법을 이용하고 있으며 기존의 천연골재를 사용한 콘크리트에 의해 얻어진 여러 가지 제안식들에 적용시켜 추정하고 있다. 따라서 본 연구의 목적은 전형적인 파괴 시험과 코어 채취 그리고 반발경도법과 초음파속도법을 이용하여 부순모래 콘크리트의 강도 추정식을 제안하고자 하였다. 실험의 변수는 양생 재령과 양생 조건 그리고 콘크리트의 설계기준강도이다. 그 결과 본 연구에서 얻은 제안식이 기존식에 비해 모든 측면에서 양호한 것으로 나타나 실제 건설 현장의 부순모래 콘크리트 구조물의 평가 기술 향상에 기여할 것으로 사려 된다.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2002년도 봄 학술발표회 논문집
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• pp.997-1002
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• 2002

Traditional prediction models have been developed with a fixed equation form based on the limited number of data and parameters. If new data is quite different from original data, then the model should update not only its coefficients but also its equation form. However, artificial neural network (ANN) does not need a specific equation form. Instead of that, it needs enough input-output data. Also, it can continuously re-train the new data, so that it can conveniently adapt to new data. Therefore, the purpose of this paper is to develop the I-PreConS (Intelligent system for PREdiction of CONcrete Strength using ANN) that provides in-place strength information of the concrete to facilitate concrete form removal and scheduling for construction.

• Computers and Concrete
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• 제12권6호
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• pp.831-850
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• 2013

The high strength materials have been more widely used in reinforced concrete structures because of the benefits of the mechanical and durable properties. Generally, it is known that the ductility decreases with an increase in the strength of the materials. In the design of a reinforced concrete beam, both the flexural strength and ductility need to be considered. Especially, when a reinforced concrete structure may be subjected an earthquake, the members need to have a sufficient ductility. So, each design code has specified to provide a consistent level of minimum flexural ductility in seismic design of concrete structures. Therefore, it is necessary to assess accurately the ductility of the beam sections with high strength materials in order to ensure the ductility requirement in design. In this study, the effects of concrete strength, yield strength of reinforcement steel and amount of reinforcement including compression reinforcement on the complete moment-curvature behavior and the curvature ductility factor of doubly reinforcement concrete beam sections have been evaluated and a newly prediction formula for curvature ductility factor of doubly RC beam sections has been developed considering the stress of compression reinforcement at ultimate state. Based on the numerical analysis results, the proposed predictions for the curvature ductility factor are verified by comparisons with other prediction formulas. The proposed formula offers fairly accurate and consistent predictions for curvature ductility factor of doubly reinforced concrete beam sections.

• Computers and Concrete
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• 제4권4호
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• pp.299-316
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• 2007

The compressive strength of concrete is a commonly used criterion in producing concrete. However, the test on the compressive strength is complicated and time-consuming. More importantly, since the test is usually performed 28 days after the placement of the concrete at the construction site, it is too late to make improvements if unsatisfactory test results are incurred. Therefore, an accurate and practical strength estimation method that can be used before the placement of concrete is highly desirable. In this study, the estimation of the concrete strength is performed using support vector regression (SVR) based on the mix proportion data from two ready-mixed concrete companies. The estimation performance of the SVR is then compared with that of neural network (NN). The SVR method has been found to be very efficient in estimation accuracy as well as computation time, and very practical in terms of training rather than the explicit regression analyses and the NN techniques.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2004년도 춘계 학술발표회 제16권1호
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• pp.494-497
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• 2004

This paper presents the analysis results predicted by the upper bound approach in the limit analysis of concrete incorporating the original plastic and crack sliding solutions for short high-strength concrete beams that varied the compressive strength of concrete, and the shear span-to-depth and vertical shear reinforcement ratios. The significance of the distance away from the support to define the location where the yield line starts and the properties of cracked concrete, particularly related to high-strength concrete, is identified.