An Experimental Investigation to Determine the Failure Load of Optimal Hammer Head Pier Cap and Interpolate using Univariate Splines Machine Learning Algorithm
Assessment of Radius of Curvature along the Existing Road Networks
Sustainable Urban Infrastructure: A Comprehensive Review of Environmental Safety Practices in Civil Engineering
Experimental Investigation on the Influence of Recycled Aggregate on the Durability and Mechanical Properties of Concrete
A Step by Step Analysis to Solve the Equation of Motion in Space and Time using Basis Splines - A Class Room Example
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
Strengthening and Rehabilitation of RC Beams with Openings Using CFRP
Unsaturated Seepage Modeling of Lined Canal Using SEEP/W
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
It is estimated that 1.35 million individuals expire from road collisions and that over 50 million people are injured globally last year. Road traffic deaths were predicted to be the world's third important reason of death by 2020, and minute work is done to reverse this trend. Road injuries include several dynamic variables that impact the accident to varying degrees and how to identify these variables and differentiate between relationships are the most important problems in trying to avoid and minimize black spots on the route. Based on the category of roads, five road stretches are selected for the study. Data collection are made by collecting the existing road features condition. 223 First Investigation Report (FIR) copies related to study area were obtained from the concerned 12 police stations for three years (2017,2018,2019). The main objectives of the project are analysis of different characteristics of the blackspot such as time of occurrence, type of injuries and the type of vehicle involvement in pedestrian accidents along the stretch. Weighted severity index is used to determine the severity of accidents. Identification of black spot location for pedestrians using kernel density tool in ArcGIS software. Identification of parameters contributing for accidents, and provide countermeasures to reduce the accident rate.
Hybrid Fibre Reinforced Concrete (HFRC) is analyzed in this examination. Two kinds of synthetic fibre had been considered polyvinyl alcohol fibre/macro synthetic fibre (PVA/MSF) and polypropylene fibre/macro synthetic fibre (PPF/MSF). Styrene butadiene latex has been introduced at 0 percent, 5 percent, 10 percent, and 15 percent by weight of cement. Tests has been carried out to study strength parameters such as compression and flexure strength, resistance to wear, and resistance to impact. Outcome of the study results that higher latex contents improve the dispersibility of the fibre because of the increased workability of the Hybrid Fibre Reinforced Concrete (HFRC) and the improved adhesion. Formation of a latex layer on concrete improved the strength parameter, permeability resistance, abrasion resistant, and impact resistant. PVA/MSF HFRC had higher properties than PPF/MSF HFRC. This change in attribute for stronger hydrogen bonding via the hydrophilic PVA fibres, led to advanced resistance to micro-cracking and crack propagation.
The possibility of recycling mixed colour waste glass for manufacturing decorative architectural mortars, has been investigated. In mortars, the 0–33–66–100% of calcareous gravel volume has been replaced with recycled glass cullets, with no other inorganic addition. To mitigate the possible alkali–silica reaction, mixes with a hydrophobic admixture were also compared. The obtained results show that the replacement of calcareous gravel with glass cullets of similar grain size distribution permits to reduce the dosage of the superplasticizer admixture to obtain the same workability of fresh mortar; it does not affect significantly the mechanical performances, the water vapour permeability and the capillary water absorption but it reduces significantly the drying shrinkage deformation. The used recycled glass is classified as no reactive in terms of alkali–silica reaction neither in water nor in NaOH solution following the parameters of the current normative, even in the absence of the hydrophobic admixture. The hydrophobic admixture further delays the expansion trigger but not the speed of its propagation.
Optimization of concrete mixing design is one of the important concerns of researchers in this filed. So far, various methods have been developed to optimize and predict the effect of aggregate characteristics and enhance the properties of concrete mixtures. Many efforts have been made to optimize the concrete mix. But it cannot be claimed that such a technique has been proposed so far. Each proposed method and model have its own advantages and limitations. This can lead to time, a large amount of design testing (EOD), the magnitude of approximate errors, the invalidity of areas outside the scope of the factors under review, and ultimately cost-effectiveness. The strength and durability of concrete in many cases be subject to on variables such as mix ratio, aggregates properties and characteristics, coarse and fine aggregate ratio, compaction method, curing period, gradation, packaging density, and wherein effect the strength and durability of fresh and hardened concrete. Combined Graphical Method (CGM) is a combination of traditional and modern concrete optimization methods which has a special emphasis on the properties and characteristics of the aggregates. This method is intended for concrete pavement mix to determine the C / F ratio consisting of coarse aggregates of 10, 20 and 38 mm and fine aggregates including river sand and mine.
Copper Slag (CS) is obtained as a by-product from the copper industry having heavy metals in its constituents. Most of the developed countries have specification to use it as construction material. Despite this, large amount of CS is disposed of in stockpiles and this arises serious environmental problems across the globe. The production of asphalt mixes with CS as a replacement of natural aggregate (CA) would limit the environmental hazard. The purpose of this paper is to review the physical, mechanical and chemical properties of CS which could be utilized as road construction material in asphalt mixes. Several studies have found improved engineering properties of CS with RAP (Reclaimed Asphalt Pavement), HMA (Hot Mix Asphalt) and WMA (Warm Mix Asphalt) and suggested that 10-30% of CS as fine aggregate is satisfactory as optimum proportion in asphalt mix.
