Self-supported steel chimney analysis as per Indian standard
Most of the industrial steel chimneys are round cross-sections with column structures. Because of its frame behavior under lateral dynamic loading Geometry of a self-supporting steel chimney shows an important role. It is primarily responsible for the stiffness parameters of the chimney this is because of geometry. However, basic dimensions of industrial self-supporting steel chimney are generally derived from the associated environmental conditions, such as height, diameter at the exit, etc. Design code (IS-6533: 1989 Part 2) imposes several criteria on the geometry (top-to-base diameter ratio and height-to base diameter ratio) of steel chimneys to ensure the desired failure mode. To justify the code criteria with regard to basic dimensions of industrial steel chimney is the objective of the present study.
Published by: Nagendra Singh, Satish Parihar
Author: Nagendra Singh
Paper ID: V4I3-1431
Paper Status: published
Published: May 16, 2018
Fragility curves construction for an RC frame
The Seismic fragility curve is mainly applied to evaluate the planning of pre-earthquake disaster and recovery from post-earthquake. It provides the conditional probability of structural response to earthquake loads as a function of ground motion intensity. The traditional methods of generating fragility curves include a large number of computational models that represents the analysis of earthquake time history and inherent variation in the properties of materials of a particular building type. There are several Response surface methods available in which HDMR i.e. High Dimensional Model Representation which can express the input-output relation of complex computational models. This input-output relation can minimize the procedures of the expensive computations in problems like development of fragility curve. This technique was first applied by Unnikrishnan et al. (2012) in fragility evaluations and he demonstrated its computational efficacy compared to Monte Carlo method which is computationally intense. In this study, an HDMR response surface method is used to develop the fragility curve of an RC Frame. There are many simplified approaches which are quite easy on computational terms for fragility development of curve. Cornell et al (2002) offered such method that assumes a law model between the earthquake’s intensity and damage parameters. The study showcases the Fragility Curves assessment by using HDMR and its computational efficacy with reference to one of the methods used by Cornell et al (2002).
Published by: Shivakant Awasthi, Satish Parihar
Author: Shivakant Awasthi
Paper ID: V4I3-1430
Paper Status: published
Published: May 16, 2018
Robotic coating by using the doped nanoparticles with the help of copper and zinc nanoparticles
Nowadays nanoparticles play a major role in doing the research work and our intention is to develop the Robots by using the copper and it can develop major intentions to give a more potential to develop major things. By doing this work we can develop the Robots in major intentions to give more life in the extension of signaling and memory by using the coating of a material. The major intention is to develop an analysis of a Robot. nanoparticles solved and improved their role in various applications. These nanoparticles are successfully prepared by co-precipitation method. These are mostly used to characterize the microstructure and morphology at various instances.
Published by: M Rohith Kumar Naidu, P Ratna Prasad
Author: M Rohith Kumar Naidu
Paper ID: V4I3-1428
Paper Status: published
Published: May 16, 2018
Assessing forest degradation and analysis of future scenarios using GIS and remote sensing
The study entails detecting forest degradation and modeling future scenario using GIS and remote sensing, in Elgeyo/Marakwet County, a case study of Embobut forest, it is evident that forests have been managed for several years in the world, but in most cases especially in the developing world, various regimes have tried to come up with institutional to guide forest management with no much success, in many countries, there is no regular monitoring system that collects information about the situation of the forests and trends of the distribution. This makes it difficult to quantify the status of the existing forest cover. We used high-resolution satellite imagery as well as GIS and remote sensing software (ArcGIS and ENVI) with mathematical models to project the forest status, apart from satellite images there will be a ground truthing using Global positioning system (GPS) as data collection tool to as well as use of Auxiliary data; which will include Socioeconomic and data for the years 1980, 1990, 2000 and 2010. Policy implications especially with the enactment of Kenya forest act, 2005 was examined. recorded positive changes hence increased in size while all other forest classes decreased in size. The study found out that the total forest loss was 7,172.31 hectares, this represents a loss of 28 percent of the total forested area that existed in 1986 which corresponds to an annual forest loss of 286.892 hectares. According to this study, as population increased the rate of deforestation also increased. The future scenarios from the studies were based on a fixed annual deforestation rate and a conclusion is made that Bare land & rocky and water bodies classes increased in area while Mixed Podocarpus latifolius, Juniperus-Nuxia-Podocarpus factus, Tree ferns Cyathea manniana & Bamboo, Acacia abyssica & Scrubby grassland classes decreased in size. As Population grew forestry loss increased, between 1986 and 2011, the total forest loss was 7,172.31 hectares. Future Scenario found that with the same trend, there will be no forest remaining natural forest block by the year 2038 in the study area.
Published by: Isaac Kipkemoi, Innocent Ngare, Cyrus Omwoyo Ongaga
Author: Isaac Kipkemoi
Paper ID: V4I3-1405
Paper Status: published
Published: May 16, 2018
Intruder recognition in a farm through wireless sensor network
To implement intruder detection in fields, a Wireless sensor network-based system is developed. Motion sensors are placed at numerous locations around the farm. These sensors ceaselessly sense the movement and communicate to the organizer through Radio-frequency transceiver. The organizer on detection raises an alert and a call is made to the farm owner mobile through Global System for Mobile. Further, to differentiate between authorized and unauthorized entries Radio- frequency identification tags are used. WSN has been utilized in several applications such habitat monitoring, building monitoring. Wireless Sensor Networks accommodates detector nodes deployed in an exceedingly manner to gather data concerning surrounding atmosphere. Their distributed nature knowledge forwarding to the farmer. Intrusion Detection Systems will play a vital role in detective work and preventing security attacks. This paper presents current Intrusion Detection Systems using WSN technology.
Published by: K. Jai Santhoshi, Bhavana. S
Author: K. Jai Santhoshi
Paper ID: V4I3-1277
Paper Status: published
Published: May 16, 2018
Fabrication of dual fuel (CNG + Electric) motorcycle
The aim of this examination is an investigation of the achievability and preferences of utilizing the natural gas as a contrasting option to gasoline as a fuel for hybrid electric vehicles. Using CNG vehicles are extremely valuable in India considering the way that gasoline fuel is offered at a vigorously sponsored cost and consequently, by converting a significant portion of the automobiles to run on CNG, the gasoline fuel utilization could be lessened. This will bring about more oil being accessible for trade which will be valuable to the economy of the nation. This process assessed a test examination on Compressed Natural Gas as an elective fuel for four-stroke start motor and furthermore Battery worked. The essential target of the investigation was to determine the performance and the fumes emanations of the motor utilizing distinctive fuel. The motor utilized as a part of the examination was initially a single cylinder, four-stroke start motor and minor alterations were done to allow the trials to keep running on CNG fuel. Amid the running, the engine was coupled to a ropeway dynamometer to quantify a few motor execution parameters and a gas analyzer was embedded into the motor fumes tailpipe for estimating the fumes emanations. The engine execution considers were led with engine setup. Parameters like brake power, brake fuel utilization and brake thermal efficiency were ascertained. The test outcome showed that CNG fuel has the closest performance to Gasoline fuel. The focus levels of CO, CO2 and unburnt HC recorded are observed to be lower than the gas-fuelled motor.
Published by: Samarendra Singh, Sarthak Singh, Sharaj Kant, Saurav Khari, Madan Prasad
Author: Samarendra Singh
Paper ID: V4I3-1410
Paper Status: published
Published: May 16, 2018
