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RISS 인기검색어
- 검색키워드
- 저자 : ( Deepa Raj ) (검색결과 5 건)
- 무료
- 기관 내 무료
- 유료
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Behavior of geopolymer and conventional concrete beam column joints under reverse cyclic loading
Raj, S. Deepa,Ganesan, N.,Abraham, Ruby,Raju, Anumol Techno-Press 2016 Advances in concrete construction Vol.4 No.3
An experimental investigation was carried out on the strength and behavior plain and fiber reinforced geopolymer concrete beam column joints and the results were compared with plain and steel fiber reinforced conventional concrete beam column joints. The volume fraction of fibers used was 0.5%. A total of six Geopolymer concrete joints and four conventional concrete joints were cast and tested under reversed cyclic loading to evaluate the performance of the joints. First crack load, ultimate load, energy absorption capacity, energy dissipation capacity stiffness degradation and moment-curvature relation were evaluated from the test results. The comparison of test results revealed that the strength and behavior of plain and fiber reinforced geopolymer concrete beam column joints are marginally better than corresponding conventional concrete beam column joints.
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Strength and behaviour of recycled aggregate geopolymer concrete beams
Deepa, Raj S,Jithin, Bhoopesh Techno-Press 2017 Advances in concrete construction Vol.5 No.2
In the present day scenario, concrete construction is rapidly becoming uneconomical and non sustainable practice, due to the scarcity of raw materials and environmental pollution caused by the manufacturing of cement. In this study an attempt has been made to propose recycled aggregates from demolition wastes as coarse aggregate in geopolymer concrete (GPC). Experimental investigations have been conducted to find optimum percentage of recycled aggregates (RA) in GPC by replacing 20%, 30%, 40%, 50% and 60% of coarse aggregates by RA to produce recycled aggregate geopolymer concrete (RGPC). From the study it has been found that the optimum replacement percentage of recycled aggregates was 40% based on mechanical properties and workability. In order to study and compare the flexural behaviour of RGPC and GPC four beams of size $175mm{\times}150mm{\times}1200mm$ were prepared and tested under two point loading. Test results were evaluated with respect to first crack load, ultimate load, load-deflection characteristics, ductility and energy absorption characteristics. Form the experimental study it can be concluded that the addition of recycled aggregate in GPC causes slight reduction in its strength and ductility. Since the percentage reduction in strength and behaviour of RGPC is meager compared to GPC it can be recommended as a sustainable and environment friendly construction material.
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Role of fibers on the performance of geopolymer concrete exterior beam column joints
Raj, S. Deepa,Ganesan, N.,Abraham, Ruby Techno-Press 2020 Advances in concrete construction Vol.9 No.2
The performance of steel fiber reinforced geopolymer concrete beam column joints under cyclic loading was investigated. The volume fraction of fibers considered were 0.25% (19.62 kg/㎥), 0.5% (39.24 kg/㎥), 0.75% (58.86 kg/㎥) and 1% (78.48 kg/㎥). A total of fifteen specimens were prepared and tested under reverse cyclic loading. Test results were analyzed with respect to first crack load, ultimate load, energy absorption capacity, energy dissipation capacity, stiffness degradation and load deflection behavior. Test results revealed that the addition of steel fibers enhanced the performance of geopolymer concrete beam column joints significantly. The joints were analyzed using finite element software ANSYS. The analytical results were found to compare satisfactorily with the experimental values.
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An Optimized Multiple Fuzzy Membership Functions based Image Contrast Enhancement Technique
( Pushpa Mamoria ),( Deepa Raj ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.3
Image enhancement is an emerging method for analyzing the images clearer for interpretation and analysis in the spatial domain. The goal of image enhancement is to serve an input image so that the resultant image is more suited to the particular application. In this paper, a novel method is proposed based on Mamdani fuzzy inference system (FIS) using multiple fuzzy membership functions. It is observed that the shape of membership function while converting the input image into the fuzzy domain is the essential important selection. Then, a set of fuzzy If-Then rule base in fuzzy domain gives the best result in image contrast enhancement. Based on a different combination of membership function shapes, a best predictive solution can be determined which can be suitable for different types of the input image as per application requirements. Our result analysis shows that the quality attributes such as PSNR, Index of Fuzziness (IOF) parameters give different performances with a selection of numbers and different sized membership function in the fuzzy domain. To get more insight, an optimization algorithm is proposed to identify the best combination of the fuzzy membership function for best image contrast enhancement.
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