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
This paper presents an experimental investigation on the effect of high temperature on the properties of SCC produced by the combination of admixtures (Superplasticizer + Viscosity modifying admixture + Air entraining agent + Accelerator). The concrete testing specimens was prepared by a mix proportion 1:2.7:6.1:5.1 with cement: fly ash: sand: coarse aggregate with a water/binder ratio of 0.38. After 28 days of curing all specimens were removed and 0 0 0 0 weighed accurately and kept in oven where they were subjected to 100 C, 200 C, 800 C and 900 C as the case may be for 4 hours. The specimens after cooling were weighed again to find the percentage loss of weight and were thoroughly observed for their change in colour and cracks. These specimens were tested for their respective strengths for different percentage addition of last admixture. SCC produced with the combination of admixtures show better resistance to elevated temperatures.
Twenty water samples (five each) of four springs of Zabarwan Mountains, Srinagar, Kashmir were analyzed on Atomic Absorption Spectrophotometer for various cations. The heavy metal elements concentration Ni, Cu, Fe, Pb and Mn were found above permissible limits; Ni, Pb, Mn and Fe being higher in Zeethyar and Cheshma Shahi Springs, Ni, Cu, Fe, Mn and Pb in Ishber and Fe in Durganag Spring. The comparison of average of these with the average of the samples from Dal-Lake waters indicates that the load of heavy metal concentration has been contributed by these springs. Among anions nitrate level of the springs is slightly on the higher side, though not alarming at present it may cause a health hazard in the whole region. Hardness and Ph values of all the samples are within the permissible ranges. The turbidity values of Ishber and Durganag springs are above permissible limits. The S.A.R. values (?26) and the S.S.P values (?60) indicate that the water of these springs can safely be used for agricultural purposes.
A Road Information System (RIS) has been developed as a component of Road Information and Management System (RIMS) for Dehradun urban agglomeration with the main objective to obtain accurate, up-to-date roadway information which may result in reduced travel time. It provides road information, like geographical location, wayside amenities like petrol pumps, police stations and chowkis, fire stations, government offices, hospital, schools and professional institutes etc, road inventory, traffic load etc. The geospatial techniques make the process of data collection and analyses easy, faster and economical. This paper outlines the data requirement for the development of RIS.
Existence of redundancy in structures plays an important role in increasing their safety and reliability. However, using state-of-the-art deterministic and probabilistic approaches, all possibilities for estimation of redundancy (e.g. due to occurrence of different damage scenarios) have not been considered. One of the methods to quantify the presence of uncertainties in a system is to use interval variables. In this work, a new method for estimating the redundancy using interval structural analysis is developed. This method, hereafter referred to as Interval Redundancy Analysis (IRA), is robust and considers possibilities of strength reduction for each element leading to failure. Independent intervals for reduction of the strength for five damage scenarios of intact, slightly damage, moderately damaged, severely damaged, and completely damaged as well as strength of each element are considered. A numerical example to show the behavior of the developed method with comparison to Monte-Carlo simulation results is presented.
With the recent thrust on improving and developing highways for boosting National Economy, the importance of Traffic Demand Forecasting (TDF) has increased significantly as the forecasted traffic volume contributes substantially in engineering design, economic and financial viabilities of highway improvement projects. Therefore, estimation of traffic growth rates and its related issues is concerned primarily to improve the rationality of traffic forecast is of prime importance. In the present Paper, the complete process of Traffic Growth Estimation (TGE)by Transport Demand Elasticity Method even when available data is inaccurate or even missing, merits and demerits of various methods of obtaining traffic growth factors and critical issues associated in the process have been addressed and demonstrated through a case study. It has been revealed that with the constraints of availability of proper data and fluctuation of developing economy, the task of Traffic Growth Estimation could be quite subjective and approximate. Different approaches and necessary considerations for improving the rationality of traffic growth rate have also been addressed in the paper.
