Department of Civil Engineering

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Author: search.filters.author.Gupta, RajivEnd date: 2019

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    Laboratory manual for civil engineering
    (CBS Publishers, 2019) Gupta, Rajiv
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    Construction planning and technology
    (CBS Publishers, 2013) Gupta, Rajiv
    The book js a supplementary to the course in which all the building materials components of a building (doors windows finish staircase etc.) are taught. The author feels that these components can be understood if one goes through them. This is the reason for not including these topics in this book. These topics can be found in any book dealing with construction and building materials. In the text Costing and Estimation is covered in chapter one which is the first phase of planning to execute a project. After estimation CPM or PERT networks can be drawn with proper duration of the activities involved. Once network is prepared resource levelling can be done.
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    Passive solar design for energy efficiency in buildings in composite climate
    (IOP, 2019) Gupta, Rajiv
    Renewable energy sources offer an unlimited supply of energy. Solar energy can be utilized to supplement energy needs of a building either passively or actively. It is feasible to reduce consumption of energy usage for heating, cooling and lighting requirements of a building by adopting a climate sensitive approach for design of building elements like static sunshade, wall and roof. To study the effect of passive building elements in composite climate zone, four rooms were designed with a different combination of type of static sunshade, wall and roof. The static sunshade and brick cavity wall with brick projections were designed using sunpath diagram and shadow angles. Air cavity was introduced in the reinforced cement concrete (RCC) roof by laying hollow stoneware pipes. This paper presents theoretical and simulation studies to compare thermal performance of the four rooms. Theoretically, the four rooms were compared by steady state method based on total heat load in every month and on representative days in different seasons throughout the year. The extreme and most frequently occurring temperature values (mode) in every season were identified by obtaining the frequency distribution of the outdoor air temperature with the software SPSS Statistics (IBM Corp. 2012). Results showed that room with designed passive elements gained minimum heat in summer and moderate summer, while it lost minimum heat in winter and moderate winter. This shows the effectiveness of the designed passive elements in insulating the room interiors from the extreme climatic conditions. The rooms were also simulated using software Autodesk Ecotect Analysis 2011 and their performance was compared on a typical day in each month. Results showed that this software can be helpful for preliminary design to get an idea about the room performance that can help to create thermally comfortable indoor environment for the well being of occupants.
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    A review on spent pickling liquor
    (International Journal on Environmental Sciences, 2013) Singhal, Anupam; Gupta, Rajiv
    Metals to be coated requires pre- treatment to remove rust or scale, impurities and inorganic contaminants. The pickling process generates a considerable quantity of spent pickle liquor (SPL) containing the dissolved metal salts of Iron, Chromium, Copper, Nickel and Zinc as well as residual free acid. The waste generated by metal pickling and electroplating industries identified as hazardous solid waste as per Indian Standards and USEPA Standards. In this paper we have discuss about the conventional treatment method of SPL, Safe disposal of sludge, utilization of sludge, various types of acid regeneration methods and metals recovery from i
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    Plant indication of salinity in Shekhawati region of Rajasthan, India
    (Frontiers, 2013) Singhal, Anupam; Gupta, Rajiv
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    Improvement of Classification Accuracy Using Image Fusion Techniques
    (IEEE, 2016-10) Gupta, Rajiv
    Remote sensing techniques have been widely used for identification of land use and land cover features. Land information can be easily collected by classification of satellite images in the context of their use. In this paper study area has been classified into three classes i.e. settlement, trees and agricultural by classification of an image which has been enhanced using fusion of two images. The spatial and spectral resolutions of different satellite images provide better information with the aid of initial processing of image and fusion of both images. The satellite images fused together are multispectral IRS-P6 also called Resourcesat-1 satellite, on board LISS-III sensor provide image with spatial resolution of 23.5 m and an IRS-P5 also called Cartosat-1 satellite provides single band panchromatic image with spatial resolution of 2.5 m. Erdas Imagine 9.1 software has been used for image processing, fusion and supervised classification of the images. The Brovery, Multiplicative and Principal Component Analysis (PCA) method have been used for image fusion. The resultant images have been classified using the supervised classification with maximum likelihood parametric rule for information extraction and comparison between them in terms of their accuracy.
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    To predict the impact of passive architecture conditions inside a building using ANN
    (IEEE, 2016) Gupta, Rajiv
    The environmental impact of the building industry is significant. The construction industry constitutes a major part of the world's total energy consumption. As a result, building designers have constantly been urged to pay attention to the energy economics of buildings. Green building practices like passive solar building design, advanced construction, and building operation practices have been evolved over the years. Passive solar architecture basically refers the usage of structural and non-structural elements of the building for the comfort conditions with no additional operational costs. It makes the best possible use of the local geographic and climatic conditions. Such measures help in decreasing the operational costs of a building and increasing the thermal comfort of its occupants often leading to enhanced productivity. These energy efficiency measures also improve building marketability as the cost of operation is reduced. The temperature inside a building is one of the factors to identify the comfort level up to a great extent. Hence, it necessary to predict the internal air temperatures of any building. With this study, an attempt has been made at developing mathematical models that could predict the air temperature inside any building. The works attempts the development of a neural network regression tool which can predict the temperature inside a simple construction when fed with various building specifications as input. The results of this Artificial Neural Network were found to be in close agreement with the actual on-site recorded data. This is the first time that ANN is being used for such application. For the purpose of validation and testing, the data recorded for four rooms varying in architectural aspects over the past year have been taken. These recordings were taken on an hourly basis.
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    Integrating fuzzy AHP and GIS to prioritize sites for the solar plant installation
    (IEEE, 2016-01) Gupta, Rajiv
    Selection of site is the most fundamental and crucial decision, in the process of setting up a solar power plant. Since several factors influence the site selection process, multi criteria analysis is used to resolve this problem. In this study, seven districts of Rajasthan in India are considered as different alternatives for the installation of solar power plant. They are evaluated over few crucial criteria's such as solar radiation, land availability, water availability, cost of land, population benefitted, transmission losses and number of rainy days, which have a great impact on power generation. As the data corresponding to the criteria's considered is not available, thematic map is used as the raw data, with Arc GIS as interface, baseline data, corresponding to the criteria's for all study areas is extracted. A multi-criteria decision making technique, is used to choose the best suitable site for installation of solar power plant. Based on the literature, Fuzzy Analytical Hierarchy Process (Fuzzy AHP), which is advanced and a simple method, is used in this study for the location allocation of solar plant. Results dictate that Bikaner, which is one among the alternatives considered, is the optimal site for the installation for the solar plant in Rajasthan.
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    A review of emerging trends on water quality measurement sensors
    (IEEE, 2015-04) Gupta, Rajiv; Gupta, Karunesh K
    New concepts and techniques are replacing traditional methods of water quality parameters measurement systems. In modern sensor era, Optical Sensors (OS), Microelectronic Mechanical Systems (MEMS) and Bio-Sensors are important sensing techniques for different water quality parameter detection. Furthermore, these sensors are highly selective, sensitive, economical and user-friendly with quick response. This paper comprehensively reviews and discuss role of emerging techniques in detection of important water quality parameters i.e Dissolved Oxygen, Turbidity, pH, E-Coli, Effective chlorination, Biochemical Oxygen Demand (B.O.D) and fluoride. In addition, also explains why modern water quality parameters sensing techniques are preferable option for detection of above mentioned parameters. A dedicated part of this paper also discusses the significant advantages and limitations of new available techniques.
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    Biosorption of Fe (II) by Scenedesmus sp. in batch and continuous systems
    (Springer, 2019-11) Gupta, Rajiv
    The removal of toxic or economically important heavy metal ions from wastewaters is of great importance from an environmental and industrial viewpoint. The biosorption of heavy metal ions by algae is a promising property with a potential for industrial use. The focus of this chapter is on investigating the biosorption of single- and multi-metal ions to free and immobilized micro algae in batch and continuous systems. There will be a discussion of heavy metal pollution, the usage and advantages of free and immobilized algal cells for heavy metal removal, biosorption mechanisms and developing isotherms in single- and multi-metal systems. Mathematical description of biosorption of a single metal ion to algae in a batch and in a continuous fixed bed column will also be presented and discussed.