Behavioral Studies on Sorptivity of the Concrete Blended with Nano Silica
Optimization of Lane Based Signalized Intersections through VISSIM at Outer Ring Road Bengaluru
Trend Analysis of Rainfall Data using Mann-Kendall Test and Sen's Slope Estimator
A Review on Sustainable Utilization of Bauxite Residue (Red Mud) for the Production of Mortar and Concrete
A Critical Review of Experimental Research on the Durability of Cement Modified with Partial Steel Slag Replacement
Estimating the Soil Moisture Index using Normalized Difference Vegetation Index (NDVI) And Land Surface Temperature (LST) for Bidar and Kalaburagi District, Karnataka
Roughness Evaluation of Flexible Pavements Using Merlin and Total Station Equipment
Site Suitability Analysis for Solid Waste Dumping in Ranchi City, Jharkhand Using Remote Sensing and GIS Techniques
Unsaturated Seepage Modeling of Lined Canal Using SEEP/W
Strengthening and Rehabilitation of RC Beams with Openings Using CFRP
A Seasonal Autoregressive Model Of Vancouver Bicycle Traffic Using Weather Variables
Prediction of Compressive Strength of Concrete by Data-Driven Models
Predicting the 28 Days Compressive Strength of Concrete Using Artificial Neural Network
Measuring Compressive Strength of Puzzolan Concrete by Ultrasonic Pulse Velocity Method
Design and Analysis of Roller Compacted Concrete Pavements for Low Volume Roads in India
The construction industry causes more damage to human life and health than any other industry in the world. The safety management in construction industry presently is overlooked either due to negligence or as a result of cost saving. In most of the developing countries like India, construction sector experiences worker's accident and injuries at site on a daily basis. The type of accident and injuries could be prevented by implementing stringent safety management plans at site. Construction accidents incurs several direct and indirect costs to the company. Worker's injury and personal pain can never be measured, but the other costs resulting from the equipment damage, worker compensation, insurance inflation and change in schedule of constructions impacts the profitability of company. These costs could be minimized or avoided through focused safety efforts at construction job sites. This paper describes the concern of implementation of an effective safety plan and factors to be considered to minimize the unforeseen risks. Major factors like information on the physical job site conditions, adequate inspection, rigorous drill, recordation of near miss events with resolution, behaviour and observation of workforce etc. must be analysed and considered to implement an effective safety plan. This paper discusses construction works such as excavation, working at height, confined space, chemical and biological works, electrical works and material handling with its detailed effective management techniques. The importance of these safety factors will ensure better safety at Indian construction sites and safer workplace for workers.
The current investigation intended to study the behaviour of fly ash based Reinforced Geopolymer Concrete Poles (GPCP) and compare that with conventional Reinforced Cement Concrete Poles (RCCP). The study initiated with Low Calcium Flyash obtained from Mettur Thermal Plant as a base material and polymerization carried out by sodium hydroxide and sodium silicate as alkaline activators. To maintain workability, Glenium-B233 has been used as super plasticizer in this study. The specimen casting started with preparing reinforcement grill which was prefabricated welded steel grill for 7.5 m, reinforced geopolymer concrete pole with steel grills comprising of, 4 Nos 10 mm diameter with 7.45 m length, 4 nos 8 mm diameter, 4.59 m length placed at 0.98 m from bottom end, and 22 Nos. of 6 mm diameter ring. The steel form box of size 280 mm x 100 mm at bottom, 100 mm x 100 mm at top and total length of 7.50 m are fabricated for casting geopolymer concrete poles. After concreting the specimen placed in a chamber of size 1.20 m x 1.20 m x1.80 m (with heating capacity of 5.kw/h) and 0.45 m x0.45 m x10.00 m (with heating capacity of 7 kw/h) for heat curing. In the experimentation transverse strength test was carried out as per IS: 1678-1998 and IS: 2905-1989. The poles were tested in horizontal position and the test loads were applied at the point of 600 mm from the top of the pole. The cyclic loading method was adopted for transverse strength test. The results proved that failure load and transverse strength of GPCP is higher than RCCP and deflection is lesser than RCCP.
In recent technological applications, use of Geo-fabric materials have gained importance in various civil engineering works, Geotechnical, Transportation systems, Hydraulic and other applications like Embankments, Irrigation structures, Airfields, Agriculture etc (Shukla, 2002). These Geo-fabrics have been particularly useful in reinforced soil systems which have led to economical civil engineering structural elements. These materials exhibit appreciable tensile strength and bond strength. The concrete members are brittle materials, to withstand the tensile strength of the members as they are reinforced by steel bars. In recent days, because of environmental safety concepts the replacements of construction materials are widely done in the research fields. Inparticular, partial replacement of cement and steel has got more significant in research field because of its high emission of carbon gases during the production. In the view of these concepts, the present paper deals with checking the Biaxial Geo-grid by adding appropriate volume of fraction to fresh concrete mix and study the strength criteria for different curing periods as per Indian standards (BIS, 1959, 2000, 2009). The compressive, Split tensile and flexural strength characteristics are studied with the help of concrete cubes, Cylinders, and prisms With conventional and Geo-grid proportioned specimens. The study shows that the addition of Geo-grids shows no appreciable change in compression strength at initial age of curing but it shows better performance in flexure by which is stands more than 10% higher strength compared to regular conventional specimens not proportioned with Geo-grids. Basic tests are carried at concrete age of 7days, 14 days and 28 days by considering 6 specimens in each case and finally from tests results it is concluded that these Geo-grids are capable of withstanding failure under flexure that further increases the shear, strength also it is recommended that it can be used for further partial replacement of reinforcements in concrete members.
Watershed is one of the important essential content for many multidisciplinary researches such as water harvesting, watershed management, morphometric analyses, land use and land cover change analyses, soil types, geology, geomorphological analyses, river flows studies etc. The delineation of watershed can be done either manually from topographic sheets or derived from Digital Elevation Model (DEM) data using computational methods. In the last few decades, Geographic Information Systems (GIS) are proving valuable tools in many hydrological as well as natural resources environments. In the present study, automated spatial delineation of watersheds have been done using ASTER DEM data with the help of ARC SWAT (Soil and Water Assessment Tool) model. This methodology is executed on a geospatial software such as ARC GIS in which ARC SWAT performed as a tool of ARC GIS. The Sind River basin has been taken as the study area which covers about 27,905 km2 and seventeen watersheds have been delineated using ARC SWAT. Some of the major watersheds are that of Pahuj, Parbati, Kunwari, Vaishali, and Upper Sind catchment. The drainage network has been extracted and the patterns of the drainage have been studied. It was concluded that this methodology is also suitable for low spatial resolution of DEM (30 m). Further for the delineation of several watersheds from a large area technique, not only saves time but also provides splendid results. The study demonstrates the importance and reliability of ARC SWAT tool for automated delineation of watersheds and drainage network from ASTER data.
The industrial, municipal and household solid waste produce lots of environmental issues in urban and rural areas, being one of the major sources of environmental pollution on the Earth's surface. Rapid urbanization coupled with increasing industrial, commercial and economic development, have given rise to an increased generation of various types of waste. This work demarcates the suitable sites for solid waste disposal using Remote Sensing and GIS of an urban environment of Ranchi City. Several factors have been considered in site selection for solid waste disposal. Using different parameters in weighted overlay analysis tool in Arc GIS software a final solid waste dumping site map has been prepared. The parameters such as a road network, railways, drainage, urban, vegetation, soil, geology, slope, and land use/land cover have been analyzed for suitable site selection. The final result indicates, three classes in the study area (Restricted, Suitable and Highly Suitable). The restricted area covers 205 sq km (66.97%), the suitable area covers 52 sq km (19.77%) and highly suitable area covers 40.08 sq km (13.26%) of the total study area. These potential sites are economically and environmentally suitable for solid waste dumping to reduce the environmental problem in Ranchi city.
The soil moisture is a significant analysis of understanding the moisture content in soil that are moist. The Soil moisture Index measures the moisture condition at different levels in the soil. It is mostly determined by the rainfall via the method of penetration. To bring out the geospatial data that allows to generate suitable information relating to Soil Moisture content, authors used the remote sensing method and GIS software's that depend on the use of Soil Moisture Index (SMI) such as Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST). Landsat 8 satellite images that are provided with visible (red band) and infrared bands (near infrared bands) are important for calculating NDVI and the Band 10, Band 11 along with NDVI is provided as the input for LST analysis. The Soil moisture index (SMI) is based on the observed parameters and the relationship between Land Surface Temperature (LST) and Normalized Difference Vegetation Index (NDVI). The SMI condition is done for Bidar and Kalaburgi districts, Karnataka, India for the month of April in 2017. Soil moisture data's are collected from under the surface from a long period as well as at higher spatiotemporal resolutions data that are very important in assessing the severity and also level of drought is relatively accurate.
