• Advances in nano research
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• 제11권6호
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• pp.595-606
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• 2021

This paper conducted mainly for forecasting the behavior of the shear connectors in steel-concrete composite beams based on the different factors. The main goal was to analyze the influence of variable parameters on the shear strength of C-shaped and L-shaped angle shear connectors. The method of ANFIS (adaptive neuro fuzzy inference system) was applied to the data in order to select the most influential factors for the mentioned shear strength forecasting. Five inputs are considered: height, length, thickness of shear connectors together with concrete strength and respective slip of the shear connectors after testing. The ANFIS process for variable selection was also implemented in order to detect the predominant factors affecting the forecasting of the shear strength of C-shaped and L-shaped angle shear connectors. The results show that the forecasting methodology developed in this research is useful for enhancing the multiple performances characterizing in the shear strength prediction of C and L shaped angle shear connectors analyzing.

• Structural Engineering and Mechanics
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• 제58권3호
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• pp.475-514
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• 2016

Various models have been proposed by several researchers for predicting the exterior RC beam-column joint shear strength. Most of these models were calibrated and verified with some limited experimental database. From the models it has been identified that the joint shear strength majorly depends on ten governing parameters. In the present paper, detailed investigation of twelve analytical models for predicting shear strength of exterior beam-column joint has been carried out. The study shows the effect of each governing parameter on joint shear strength predicted by various models. It has been observed that the consensus on effect of few of the governing parameters amongst the considered analytical models has not been attained. Moreover, the predicted joint strength by different models varies significantly. Further, the prediction of joint shear strength by these analytical models has also been compared with a set of 200 experimental results from the literature. It has been observed that none of the twelve models are capable of predicting joint shear strength with sufficient accuracy for the complete range of experimental results. The research community has to reconsider the effect of each parameters based on larger set of test results and new improved analytical models should be proposed.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2005년도 봄학술 발표회 논문집(I)
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• pp.367-370
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• 2005

This study is to propose a truss model which is able to reasonably predict the shear strength of reinforced concrete (RC) members with high-strength materials. The shear strengths of 107 RC test beams with high-strength steel bars reported in the technical literatures were compared to those obtained from proposed model, TATM, and existing truss models. The shear strength of reinforced concrete beams obtained from test was better predicted by TATM than other truss models. Also, the theoretical results by TATM were almost constant regardless of yield strengths and steel ratios of tension and shear reinforcements.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 1998년도 봄 학술발표회논문집(II)
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• pp.463-468
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• 1998

This paper presents the shear behavior in reinforced normal and high-strength concrete beams with Belite cement due to the increase of concrete compressive strength. The shear tests were conducted on thirty two beam specimens having concrete compressive strengths of 350 and 600kg/$\textrm{cm}^2$. The major experimental variables are compressive strength of concrete, shear span to depth ratio, and shear reinforcement ratio. The shear responses as to each variable are discussed in terms of shear capacity. The comparison of prediction equations with test results is also presented.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2001년도 봄 학술발표회 논문집
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• pp.69-74
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• 2001

Steel plate or fiber composite plate are mainly used in externally bonding method. Shear strengthening by externally bonding method is to confirm shear safety and to avoid brittle failure. In case of strengthening by externally bonding method, a failure of structure occurs frequently due to delamination between strengthening plate and concrete. Therefore, it is important to consider the delamination in the strengthening design. The objective of this study is to propose a modified shear strength evaluation by considering the delamination. The delamination criteria of strengthening plate is established by the ultimate strain and shear stress. And shear strength of RC beams is proposed in terms of the delamination criteria. The proposed shear strength is compared with test results and verified through the comparison.

• 콘크리트학회논문집
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• 제12권5호
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• pp.101-110
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• 2000

A practical approach of calculating the ultimate strength of composite beams with unreinforced web opning is proposed through shear behavioral tests. In this method, the slab shear contribution at the opening is calculated as the smaller value of the pullout capacity of shear connector at the high moment end and the one way shear capacity of slab. A simple interaction equation is used to predict the ultimate strength under simultaneous bending moment and shear force. Strength prediction by the proposed method is compared with previous test results and the predictions by other analytical methods. The comparison shows that the proposed method predicts the ultimate capacity with resonable accuracy.

• Steel and Composite Structures
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• 제38권4호
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• pp.431-445
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• 2021

This paper presents experiments and theoretical analysis on shear behavior of eight concrete-encased square concrete-filled steel tube (CECFST) specimens and three traditional reinforced concrete (RC) specimens. A total of 11 specimens with the test parameters including the shear span-to-depth ratio, steel tube size and studs arrangement were tested to explore the shear performance of CECFST specimens. The failure mode, shear capacity and displacement ductility were thoroughly evaluated. The test results indicated that all the test specimens failed in shear, and the CECFST specimens enhanced by the interior CFST core exhibited higher shear capacity and better ductility performance than that of the RC specimens. When the other parameters were the same, the larger steel tube size, the smaller shear span-to-depth ratio and the existence of studs could lead to the more satisfactory shear behavior. Then, based on the compatible truss-arch model, a set of formulas were developed to analytically predict the shear strength of the CECFST members by considering the compatibility of deformation between the truss part, arch part and the steel tube. Compared with the calculated results based on several current design specifications, the proposed formulas could get more accurate prediction.

• 콘크리트학회지
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• 제6권6호
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• pp.190-198
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• 1994

보통강도, 고강도 및 초고강도 철근콘크리트보의 콘크리트 강도 증가에 따른 전단거동을 검토하였다. 360, 670 및 870kg/$cm^2$의 콘크리트 강도를 갖는 총12개의 실물크리 공시체의 전단실험을 수행하였으며, 전단철근의 양도 현행 ACI 318-89규정값에 근거하여 변수로 정하였다. 이러한 각 시험체의 전단거동은 극한전단강도, 연성거동, 보유내력등으로 분석하고 파괴양상을 고찰하였으며, 규준식에 의한 극한전단강도의 예측치와 실험 결과의 비교 검토를 행하여, 콘크리트 강도증가에 따른 향후 철근콘크리트 보의 전단설계를 위한 기초자료를 제공하였다.

• 한국전산구조공학회논문집
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• 제18권2호
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• pp.201-211
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• 2005

철근콘크리트 부재의 전단거동에 대한 오랜 연구에 의하여 이에 대한 다양한 이론모델들과 제안식들이 존재한다. 그러나 전판거동의 메커니즘이 복잡하고 영향을 미치는 요소들이 많아서 이론모델들은 대부분 매우 복잡한 경향이 있고, 실험에 의한 제안식들은 제한된 범위내의 실험변수에 대해서만 유효한 경우가 많다. 이러한 문제점을 해결할 수 있는 대안의 하나로써 인공신경망이 여러 연구자들에 의하여 제안되어 왔으며, 본 논문에서는 인공신경망을 이용하여 전단보강근이 없는 철근콘크리트 보의 전단강토를 예측하였다 특히, 기존의 전단실험결과를 광범위하게 모아 구축한 데이타베이스를 활용함으로써 넓은 범위의 구조변수들을 포함한 다양한 부재들을 인공신경망의 훈련자료로 이용하였고, 인공신경망에 의한 전단강토 예측 결과를 ACI의 규준식, Zsutty, Okamura의 제안식들과도 비교 분석하였다. ACI의 규준식은 전단보강근이 없는 철근콘크리트 부재에 대해서 매우 부정확한 전단강도를 제공하였으며, Zsutty의 제안식은 ACI의 규준식에 비해 향상된 예측 결과를 보였으나 부재의 크기효과를 반영하지 못하였다. Okamura의 제안식은 주요 변수들의 영향을 비교적 잘 반영하여 상당히 정확하면서도 안정적인 전단강토를 제공하였다 이에 비해 인공신경망은 실험 결과에 가장 근접한 부재의 전단강도를 제공함으로써, 다양한 변수들의 영향을 매우 정확하게 반영할 수 있는 것으로 나타나서 인공신경망이 전단강도와 같이 메커니즘이 복잡하고 영향을 끼치는 변수들이 많은 다른 구조적 거동이나 강도를 예측하는데 매우 적절한 수단을 제공할 수 있음을 보여주었다.

• Computers and Concrete
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• 제14권4호
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• pp.479-501
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• 2014

This paper presents the improvement of the EC-2 and EHE-08 shear strength formulations for concrete beams with shear reinforcement. The employed method is based on the genetic programming (GP) technique, which is configured to generate symbolic regression from a set of experimental data by considering the interactions among precision, accuracy, safety and simplicity. The size effect and the influence of the amount of shear reinforcement are examined. To develop and verify the models, 257 experimental tests on concrete beams from the literature are used. Three expressions of considerable simplicity, which significantly improve the shear strength prediction with respect to the formulations of the different studied codes, are proposed.