Strength and Deformation Behavior of Concrete Made with Recycled Concrete Aggregates
With the development and modernization of societies, lot of construction activities are seen everywhere. These construction activities are increasing at faster rate by large amount. Also, the destruction of existing structures, which have reached their service life, runs parallel to the construction activities. It is not essential that the structures need to be demolished only after when they have completed their service life, but also due to change in fashion and ongoing trend of reconstruction of even healthy structures just for creating more space in order to meet the present demand. All such activities are generating waste in bulk, and this waste is called the Construction and Demolition (C&D) waste. Disposal of such C&D waste in a sustainable manner is a hard nut to crack for the builders, developers and owners. While the disposal of C&D waste is a challenge, on the other hand there is a severe shortage of naturally available aggregates for construction of structures. Reduction of this demand in a small way is possible with the recycling or reusing of construction and demolition waste generated from the construction activities. Hence, the recycling of demolished waste is a sustainable solution of C& D waste. Recycled concrete aggregate have limited application as fill and sub grade material below foundation of structures, pavement etc. these applications are non-structural applications. However research has been ongoing all over the world especially in Japan, China, European countries and some part of India also, from last 50 year in order to find the potential implement of recycled aggregates as a structural grade concrete. The research work on “Strength and Deformation Characteristics of Fiber Reinforced Concrete made with RAC” is presented here and is one such attempt to establish the RAC as a structural grade concrete. This research work focus on mainly four structural properties of concrete i.e. Compressive Strength, Split Tensile Strength, Flexural performance and Flexural toughness. In this present study the experimental part is divided into two different series viz. Series-A (without fibers concrete mix) and Series-B (1% by volume Steel fibers in concrete mix). The natural coarse aggregates are replaced with Recycled coarse aggregates at different replacement ratios. Four replacement ratios are considered in this present study 0% (control specimens), 20%, 40% and 80% M-20 grade of concrete mix is considered in this study. In order to predict the flexural performance of RAC, 16 reinforced concrete beam specimens were prepared. The section was designed as under-reinforced section and tested on UTM for flexural behaviour under two point loading. Based on the results obtained it is found that on addition of steel fibers there is increase in almost all the structural properties of normal concrete and concrete made with recycled aggregates. The investigation indicated encouraging results for RAC beams, cube and cylindrical specimens in all respect, thus pointing to recycled aggregate concrete as potential alternative structural grade concrete of the 21st century
Published by: Ajay Singh Thakur, Gourav Soni, Ram Bharosh
Author: Ajay Singh Thakur
Paper ID: V4I2-1226
Paper Status: published
Published: March 15, 2018
Design and Fabrication of Automatic Trash Removal Machine
In this project the proposal concept is to replace the manual work in drainage cleaning by automated system. We know that water has a great importance in human being life, the water flow in drain full of wastes like polythene, bottles etc. The drains get blocked due to these wastes in water. Drainage are using for the disposal and unfortunately sometimes there may be loss of human life while cleaning the blockage in the drainages. To overcome this problem and to save the human life we implement design “Trash Removal System”. We designed our project to use this in efficient way to control the disposal of wastages and with regular filtration of wastages. This machine also uses battery for power supply and is locomotive system.
Published by: P. Ramesh, Jabez Shiyan Varghese, Akhil Jose Manavalan, Akhil P. R, Adarsh. V. V
Author: P. Ramesh
Paper ID: V4I2-1225
Paper Status: published
Published: March 15, 2018
IOT Based Fisherman Border Alert System using ZIGBEE
In our regular day to day existence, we have overcome many incidents on Indian fishermen caught arrested or even killed by Sri Lankan navy. However, it’s an “unsubstantiated allegation”. Asserting that its personnel is not authorized to open fire in such situations, the major cause set to be the negligence of the anglers who aren’t aware of the Maritime borders. Indian fishermen enter Sri Lankan boundary unknowingly. In major areas it’s impossible to know the exact border without the help of the GPS, the GPS gets the coordinates from the PIC microcontroller and wireless transmission of information is transferred from ZigBee tracking unit to the monitoring unit that store the coordinate of the exact location and if the anglers cross the border the microcontroller signals the ignition to set off, so that the anglers don’t have to cross the maritime border as well as the life of the fishermen’s is saved and the coordinates of the anglers is sent to the listed members or the naval officers as SMS(Short Message Service) who can rescue the fishermen’s on time
Published by: Michael Raj. S, Lakshmi Sri Devi, C. S. Maheshwari, Sathish Sridhar
Author: Michael Raj. S
Paper ID: V4I2-1223
Paper Status: published
Published: March 15, 2018
Rainfall Trend Analysis for Chaliyar River Basin in Kerala
Statistic and probability plays an important role in scientific and engineering community (Ayyub 2011) because statistical tools help to detect spatial and temporal trends for hydrological and environmental studies. Major schemes or projects are formulated based on the historical behavior of environment under uncertain climatic conditions. Therefore, a study of trend assists to investigate the overall pattern of change over time in hydro-meteorological variables especially for water resources project on temporal and spatial scales. Rainfall has been widely considered as one of the starting point towards the apprehension of climate change courses. Various studies have indicated due to climate change, rainfall pattern is most likely to change which would have adverse impacts on lives and livelihoods of millions of people. Analysis of the general rainfall trend is vital in understanding the underlying features, for the purpose of forecasting and in identifying the changes and impacts that are very crucial for an agro-based economy like the one of India. Trends in data can be identified by using either parametric or non-parametric methods, and both the methods are extensively used. Testing the significance of observed trends in hydro meteorological time series has received a great attention recently, especially in connection with climate change. The changing pattern of rainfall deserves urgent and systematic attention for planning, development, utilization and management of water resources. In the present study, to analyze the trends of the rainfall series of each individual station, the popular statistical methods; simple regression method (parametric), Mann-Kendall test and Sen’s estimator of slope method (non-parametric) have been applied. Among which Mann Kendall test has been used to detect significance of the trends in the time series of the precipitation & Sen’s slope estimator has been used to find out the magnitude of the detected trend.
Published by: Rohtash, Dipti Tiwari, Dr. L. N. Thakural, Dr. M. K. Choudhary
Author: Rohtash
Paper ID: V4I2-1222
Paper Status: published
Published: March 15, 2018
Business Innovation and Entrepreneurship Development: An Approach to Hammer Unemployment in India
Innovation usually refers to finding new ways and ideas to create more productive techniques and processes. Innovation in business also means providing new value to your business in order to achieve economic stability. Entrepreneurship has been the subject of continual interest of economics in India and other Nations as well. The capacity and willingness to develop, organize and manage a business venture alongside all the risks in order to make profit is known as entrepreneurship. In this paper, we begin by providing an overview of why entrepreneurship has begun attracting the young brigade of the nation. We then discuss the literature that examines some of the causes and effects of undertaking the entrepreneurial act. We examine the characteristics that should be kept in mind by an aspiring entrepreneur before undertaking the risk. Government policies, schemes and initiatives for supporting and motivating young entrepreneurs though start up India action Plan has also been discussed in the research. There are several factors involved in the making of an entrepreneur who can make utmost utilization of his knowledge and skills and thus leading him towards employment generation for others which eventually leads to economic development of the country.
Published by: Neha Singh, Dr. BMS Bhadoria
Author: Neha Singh
Paper ID: V4I2-1203
Paper Status: published
Published: March 15, 2018
Arrhythmia Classification Based on ECG Signal using LMA Classifier
Electrocardiogram (ECG), a non-invasive technique is used as a primary diagnostic tool for cardiovascular diseases. A cleaned ECG signal provides necessary information about the electrophysiology of the heart diseases and ischemic changes that may occur. The detection of cardiac arrhythmias in the ECG signal consists of detection of QRS complex in ECG signal, feature extraction from detected QRS complexes and classification of beats using extracted feature set from QRS complexes. Transmission of signals across public receiver networks is another request in which large amount of data is implicated. For both detection and transmission in ECG signal, data compression is an important operation and represents another purpose of ECG signal processing. Hence, in this research work, the best training method i.e. Levenberg Marquardt algorithm will be utilized for classification on the basis of validation checks or epochs with an optimization technique. The purpose of this research work is to classify the disease dataset using Bacterial Foraging Optimization (BFO) Algorithm and trained by Levenberg Marquardt algorithm on the basis of the features extracted and also to test the image on the basis of the features at the database and the features extracted of the waveform, will be tested. The advantage of proposed method is to minimize the error rate of the classification which occurs due to insignificant count of R-peaks.
Published by: Shikha Sharma, Aman Kumar, Astha Gautam
Author: Shikha Sharma
Paper ID: V4I2-1216
Paper Status: published
Published: March 14, 2018
