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Strength and durability of geopolymer concrete made with low calcium fly ash and metakaolin

The use of Portland cement in concrete construction is under critical review due to the high amount of carbon dioxide gas released into the atmosphere during the production of cement. From few years, attempts to increase the utilization of fly ash to partially replace the use of Portland cement in concrete are gathering momentum. Geopolymer concrete is a ‘new’ material that does not need the presence of Portland cement as a binder. Instead, the source of materials such as fly ash, metakaolin that are rich in Silicon (Si) and Aluminium (Al) are activated by alkaline liquids to produce the binder. Hence concrete with no Portland cement. This study reports the details of the development of the process of making low calcium based fly ash and Metakaolin-based geopolymer concrete in the present experimental study, attempts are made to study on the various strength properties like compressive strength, split tensile strength, an also durability properties like Acid attack term durability properties of Geopolymer concrete. Experiments were conducted on Geopolymer Concrete with different percentages of metakaolin and molarity of alkaline activator. Studies were made of residual compressive strength, weight loss and Ultrasonic pulse velocity of Geopolymer Concrete mixes. It was observed that as the addition of Metakaolin to control the concrete mix of fly ash increases, the workability of concrete.

Published by: Vinay Kumar Mishra, Juhi Nigam, Ram Bharosh

Author: Vinay Kumar Mishra

Paper ID: V4I2-1956

Paper Status: published

Published: April 17, 2018

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Research Paper

A study of concrete as patialy replacment of cement with silica fume made with glass fiber

Extensive experimental investigation on glass fiber reinforced concrete was carried out by researchers. Glass fiber mesh is more effective in resisting bending and punching shear. Steel Fibres are most popular metallic fibers used for the production of Steel Fibre Reinforced Concrete particularly from the point of view of strength and ductility. It is observed that studies showed Glass Fibre Reinforced Concrete mixes provide the improvement of high performance and high strength concretes. The present thesis would contribute to the efforts being made in the field of concrete technology towards the development of concretes possessing very much enhanced and special durable properties. Based on the study, valuable advice will be given to concrete structures. It is observed from the experimental results and its analysis, that the compressive strength of concrete, splitting tensile strength of concrete increases with the addition of low Percentage of glass fibers. The 0.2%, 0.45% and 0.7% addition of glass fibers into the concrete shows the better result in mechanical properties and durability. Addition of 0.2% glass fibers by weight of cement shows the maximum increase in Compressive strength and Flexural strength varying 18% to 20%, and 15% to 20% respectively with respect to PC mix without fibers at 28 days of curing. The durability of concrete from the aspect of resistance to acid attack on concrete increases by adding AR-glass fibers in concrete.The glass fibers bridge the cracks causing interconnecting voids to be minimum. UPV value found to be higher for concrete containing 0.45%GF by weight of cement. The value was 4.85 and 5.1 (km/sec.) at 56 and 90 days of curing respectively. The concrete mix containing 0.7%GF by weight of binder showed higher resistance to weight loss in H2SO4 solution i.e.0.69% compared with control mix of concrete without glass fibers.

Published by: Gaurav Dixit, Ram Bharosh, Juhi Nigam

Author: Gaurav Dixit

Paper ID: V4I2-1957

Paper Status: published

Published: April 17, 2018

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Research Paper

Internet and social media: Exploring new business models for corporate success

Today, Companies are discovering internet a great marketing prospect and social media a valuable brand promotional proposal. While the companies use these digital platforms as a global window to search for talent, marketers are scanning the medium to drive products and are using it for objective market research. Compared with traditional media, these innovative media allows customers to give their feedback and at times be a part of the product design process, too. Internet, especially social media, has proved to be vastly constructive for businesses for reducing costs, improving customer services and creating an online profile of the business.

Published by: Rakesh Ranjan

Author: Rakesh Ranjan

Paper ID: V4I2-1742

Paper Status: published

Published: April 17, 2018

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Research Paper

Effect of strength properties of concrete waste materials (wood powder)

The use of high strength1 concrete is expected to increase as we move into next century in all areas of the world. In recent years there has been a rapid growth of interest in high strength concrete. Concrete is a material used in building construction, consisting of a fine aggregate and a coarse aggregate that is bounded by cement and water with various types of admixtures2 which are available in the market or from the waste materials3. A design mix is specified by the designer principally in terms of strength cement content and water-cement. Since economical parameters and compressive strength are fundamental properties of concrete in two different stages of production, the correlation between costing parameters and compressive strength4 has been used instead of using water-cement ratio versus compressive strength relationship. If we maintain the water-cement ratio and by adding various types of admixtures in concrete we can improve the compressive strength of concrete and also get more strength which will be very economical. In the proposed method, The designer is able to estimate parameters like compressive strength and economical costing at the design stage for a given target strength, in addition to ingredients5 of concrete

Published by: Kashish Arora

Author: Kashish Arora

Paper ID: V4I2-1817

Paper Status: published

Published: April 17, 2018

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Research Paper

Object recognition using CNN

Object recognition is a popular task in computer vision. The method usually requires the presence of a data-set annotated with location information of the objects, which is in the form of bounding boxes around the objects. In this project, we have implemented a method to carry out object recognition in a weakly supervised manner i.e., using partially annotated data-set. The data-set provides the information about what objects are present in the image but not where they are present. We have used a Convolutional Neural Network(CNN) based architecture to perform this task. We also validated by experimenting with different architectures that mere information of presence/ absence of objects in an image (weak labels) does provide their location information for free.

Published by: Jagruti Jadhav, Mehzabeen Attar, Shradha Patil, Saleem Beg

Author: Jagruti Jadhav

Paper ID: V4I2-1827

Paper Status: published

Published: April 17, 2018

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Research Paper

A study on classifiers performance for prediction of diabetic disorder

In recent years, there has been an explosion in the rate of using technology that helps in discovering the diseases. It contributes to treating several complications such as nerve and blood vessel damage, heart problems, and a higher risk of kidney malfunctioning. Data Mining, being the foremost analyzing technique used by researchers that provides effective results in an early diagnosis of diabetes. This research paper focuses on the approaches, namely Decision tree, Naive Bayes and Neural-Fuzzy classifier in predicting disease and their performance is measured using Accuracy evaluation metric. The classification accuracy and response time were compared to the methods using Accuracy and Running Time as Performance criteria. From the study, it is observed that the Decision tree algorithm gives a better accuracy in the overall performance of the classifier among the algorithms under consideration.

Published by: R. Pradeepa, K. Palanivel

Author: R. Pradeepa

Paper ID: V4I2-1887

Paper Status: published

Published: April 17, 2018

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