Creep of Concrete Incorporated with Marble Powder
Evaluation of Probability Distributions for Estimation of Peak Flood Discharge using FFA Approach
Experimental Investigation on Concrete by Partial Replacement of Fine Aggregate with Ceramic Powder
Transportation Planning using Activity-Based Travel Demand Model
Fatigue Life Prediction of Concrete Bridges using Wireless Sensors - A Review
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
Experimental studies have reported that Prefabricated Cage can effectively improve the flexural strength, ductility and deformation characteristics of Prefabricated Cage Reinforced Composite (PCRC) Beams. This paper presents an analytical solution to predict the load deflection response of PCRC beams. An equation for effective moment of inertia is proposed interms of uncracked and cracked moment of inertia of the section. A reduction factor ß is also introduced in the equation to account the influence of percentage of steel and yield strength of steel. Experimental results from literature were employed to validate the analytical results. The findings show that the theoretical analyses are in good agreement with the test data in load—deformation curves upto yielding of steel. The theoretical deflection calculated at service load has a reasonably good agreement with the experimental results, which demonstrates the present closed-form solution is simple yet accurate. The analyses also show the deformation characteristics of PCRC beams is significantly influenced by the percentage of tension steel.
The tremendous growth of infrastructure has reduced the precipitation accommodating capacity of urban areas. This has magnified the runoff volume and peak flow there by aggravating the flooding condition. So for an efficient flood management strategy to be followed, the infiltration process has to be modeled effectively and thus the runoff should be accurately predicted. For modeling of infiltration process the infiltration parameters are normally determined through model calibration or field measurements. In this study the infiltration rate of a locally available sandy soil has been obtained by using tension infiltrometer. Various infiltration parameters like steady state flows, saturated and unsaturated hydraulic conductivities and sorptivity at different suction heads were then derived. The tests have been conducted with different degree of compaction and saturation to recreate the natural field condition of the total urban catchment. The unsaturated hydraulic conductivity of the soil was found out to be 0.00104cm/sec and 0.00016cm/ sec for suction head of 10cm and 20cm respectively for an oven dried soil of dry unit weight of 1.48gm/cc. Since most of the infiltration models need one or more of the above mentioned infiltration parameters, the details obtained from this study would be quite helpful for flood modeling, by incorporating realistic infiltration characteristics of the catchment.
The main objective for this study is to determine the relationship between pile spacing and p-multipliers (fm - pile-to-pile modulus multiplier) for a laterally loaded pile-group. In addition, the appropriate p-multipliers for a 3-pile group configuration at 2D, 4D, 6D and 8D pile spacing is also determined. Therefore, a three-dimensional finite element approach was used to assess the lateral pile and pile group response subjected to pure lateral load. Results of the influence of load intensities, group configuration, pile spacing are discussed in terms of response of load vs. lateral displacement, load vs. soil resistance and corresponding p-y curves. The improved plots can be used for laterally loaded pile design and also to produce the group action design p-multiplier curves and equations. As a result, design curves were developed and applied on the actual case studies and similar expected cases for assessment of pile group behavior using improved p-multiplier. A design equation was derived from predicted design curves to be used in the evaluation of the lateral pile group action. It was found that the group interaction effect led to reduced lateral resistance for the pile in the group relative to that for the single pile.
A genetic algorithm is used to perform the discrete optimization of hybrid fibre reinforced concrete beams subject to a specified set of constraints. The objective function considered is the total cost of the materials. The Genetic Algorithm tries to minimize the cost for achieving required load carrying capacity, permissible deflection, ductility and average crack width for optimum combination of polyolefin and steel fibres. The input variables are breadth, depth, length, cost of polyolefin fibre, cost of steel fibre, ultimate load, ultimate deflection, ductility, average crack width are to be entered. The output of the given problem is Fibre volume ratio, Fraction of polyolefin fibre, Fraction of steel fibre, and Minimized cost. It is shown that the developed genetic algorithm obtained an optimal solution for hybrid fibre reinforced concrete beams.
Buildings account for an estimated 30 percent of the total energy consumption in India. Furthermore, the absolute figure is rising fast due to booming real estate demand and increasingly affluent lifestyle across various sections of society. In India, there are several showcase buildings such as a solar passive house in hot arid zones in India (Bansal and Minke, 1995) and a passive-cooled building for semi-arid zones (Srivastava et al., 1984) using wind tower, earth berms and evaporative cooling systems. Studying 3 cases where natural ventilation system has replaced/reduced use of mechanical cooling and saved energy. A wind tower is designed for a school building as overcrowded, poorly ventilated classrooms contribute substantially to the spread of infectious diseases, such as colds and influenza. Designed wind tower is for 2 classrooms with capacity of 40 students and area of 72 sq. m. resulted duct sizes for inlet and outlet are 0.20 sq. m. and 0.062 sq. m. respectively.
In rapidly urbanizing country like India, the transportation sector is growing in a fast pace and the number of vehicles on Indian roads is increasing at a rate of more than 7% per annum. This has led to over crowded roads and pollution. Transportation sector is one of the major contributors to noise in urban area, which contributes 55% of total noise on highway. In view of this, it is essential to study highway noise with respect to various causative factors. Hence, various noise prediction models have been developed, throughout the world to assess its impact on to the society and the human beings. These traffic noise prediction models differ in some respects, but the overall methodology is similar. All the noise prediction models consists of evaluating basic noise levels and making series of adjustments to take into account geometric, traffic flow, barrier data etc. In this paper, noise prediction models of U.S.A. and U.K. (FHWA and CORTON) along with the research efforts on noise in Indian context has been studied and discussed.