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
Predicting the compressive strength of concrete has always been a difficulty, since the concrete is sensitive to its mixture components, methods of mixing, compaction, curing conditions, etc. Scientists have proposed different methods for predicting the compressive strength of concrete. Some of these methods have been successful, however, some others were not suitable enough to predict the compressive strength of concrete. The aim of this study is to evaluate the capability of Artificial Neural Network Model (ANN) in predicting the 28 days compressive strength of concrete. Therefore, considering the specific concrete characteristics as input variables, Artificial Neural Network Model is constructed and the compressive strength of concrete is predicted. Results show that ANN is a suitable model to predict the 28 days compressive strength of concrete.
Efficient use of waste materials is a proven solution to the problems associated with their disposal. Fly ash is one such material produced from thermal power plants that requires a huge disposal area and creates environmental problems. Stabilization of weak soils with fly ash not only improves the engineering properties of soil, but also provide answers to the issues of fly ash disposal. This paper reports the results of laboratory investigation carried out on clayey soil stabilized with fly ash and hydrated lime. Effects of lime, fly ash and the days of curing studied on Unconfined Compressive Strength (UCS), California Bearing Ratio (CBR) and compaction parameters of the stabilized soil were also analyzed. An attempt was made for establishing a relationship between the tensile strength and compressive strength of the 56 days cured stabilized mixes. Brazilian Tensile Strength (BTS) of lime-fly ash stabilized soil at 56 days curing varied in the range of 22 to 143 kN/m2 and UCS from 143 to 2172 kN/m2 . Remarkable strength increase indicates that the clayey soils can productively stabilize with fly ash and hydrated lime.
In this experimental study, attempts have been made to observe the suitability of high strength self compacting concrete slabs of grade M100 with and without Glass and Steel fibers. Experimental investigations were carried out on ultimate load and load deflection characteristics of the slab. Self Compacting Concrete Slabs were cast with varying percentage of steel fibers from 0% to 1.5% and glass fibers of 0% and 0.03% of sizes (S.Sesha Phani,et.al.,2015)1400X1200X100 mm were casted These specimens were tested for ultimate load and load-deflection characteristics,and failure characteristics is seen after 56 days curing. It has been observed that, the presence of higher percentages of steel fibers, an improvement in the failure behaviour is seen. Also, with the addition of glass fibers, the load carrying capacity is increased along with the prevention of the development of multiple cracks and micro cracks
The Wastewater Treatment plants are designed and constructed with an aim to control wastewater so that it helps to reduce the quantity of pollutants, nutrients, biological organism, bacteria, etc. The study is based on continuous monitoring and collection of data for six months (July 2015 to December 2015) of two plants, Kodra and Ponghat plants in Allahabad city. Both the plants are based on Bio-Tower Technology, which is an improved or modified version of trickling filters. The research work presents the results of the evaluation carried out for the efficiency analysis of STP based on Improved Bio-Tower Technology located in Allahabad city for handling and treating the municipal wastewater.
Concrete is always affected by various physical and chemical attacks under environmental conditions. Acid attack is one of the common phenomenon, which affects the microstructure of concrete, and thus decreasing the strength and durability. Several researchers have reported the effects of acid attack on modern day concrete through strength and durability studies, but concrete has a complex microstructure, so it is very difficult to constitute the realistic models of its microstructure from which the behaviour of the material can be reliably predicted. In the present study, High Strength Hybrid Fiber Self Compacting Concrete (HSHFSCC) cubes of M100 grade are prepared using quartz materials. The specimens are cured for 28 days in water and then immersed in HCl and H 2SO4 solutions with 5% and 10% concentration for 28 days and 90 days. X-ray diffraction (XRD) analysis is carried out to determine the phase amounts of various compounds in a multiple phase mixture of HSHFSC concrete. Scanning Electron Microscope (SEM) is used to visualize the elements in the microstructure of the HSHFSC concrete.
Practical applicability of water is playing a major role in each and everyday of human lives. Water for use may be pure or impure depending on the practical applicability of their usage. Taking a simple example of washing the floor can be an impure form, but when it deals with the consumption of human being or cattles the water must meet the standard sets given by the International and National Governmental Environmental Agencies. This is a phase for direct contact with the person, but for industrial purposes the quality of water must be very high. But strictly saying the quality of water directly depends on the usage specific or production specific functionalities. The quality of water required in the, Tanning industry may not be the same in the Electroplating Industry. There is one more recent development, which is compelling the industries to go for wastewater treatment, which is a zero liquid discharge of the industrial wastewater from the municipal sewer. But coming to specific treatment processes, Chemical treatment, is the one which is extensively used in the field of treatment of water in both domestic as well as industrial purposes.The usage of alum and chlorine in the field of water treatment can be done extensively in domestic as well as industrial purposes. . Hence in this paper, subsequent to this series, the authors have come across many chemicals used in the field of water and wastewater treatments.
Water is a basic necessity for every human being and is used for various purposes like drinking, cleaning, sanitation, etc. This shows the fact that how important it is to make water available for residential locales, industries and other such commercial establishments. Designing is an important part in the construction of any major infrastructure. Supplying and availability of water is an integral part of construction now-a-days. With the advent of technology, the authors have now designed, analysed, studied and modified various types of pipes and pipe networks for complex and sophisticated conditions. EPANET is one such software which allows to carry out all such operations. The process gives us to explore a wide variety of choices quickly and in a short span of time. If any new buildings are constructed in future, the pipe lines are easily designed by using EPANET on trial and error process. The present analysis explains about the functioning and working of EPANET. The solution is robust, simple, and it proved to be useful and practical for the modeling as it is illustrated on the hydraulic models of DIET campus.
