The concept of replacement of natural fine aggregate by quarry dust which is highlighted in the study could boost the consumption of quarry dust generated from quarries. By replacement of quarry dust, the requirement of land fill area can be reduced and can also solve the problem of natural sand scarcity. The availability of sand at low cost as a fine aggregate in concrete is not suitable and that is the reason to search for an alternative material. Quarry dust satisfies the reason behind the alternative material as a substitute for sand at very low cost. It even causes burden to dump the crusher dust at one place which causes environmental pollution. From the results of experimental investigations conducted, it is concluded that the quarry dust can be used as a replacement for fine aggregate. It is found that 40% replacement of fine aggregate by quarry dust gives maximum result in strength than normal concrete and then decreases from 50%. The compressive strength is quantified for varying percentage and grades of concrete by replacement of sand with quarry dust.

The main objective of this paper is to compare the reliability of the different laminates used in ship hulls. The randomness in the material properties and the lateral impact load have been considered. The laminate analysis is carried out by considering the shear deformation (the Mindlin’s plate theory). The probability of failure of different laminates is calculated by using the finite element method and the Monte Carlo simulation technique. The reliability of the laminates is then estimated from the response of the laminated plate. The reliability indices are then calculated for laminates of chopped strand mat, woven roving, and their combinations.

In recent decades, pre-predicting the roadway accidents is essential for real time traffic incident management that effectively minimizes the environmental pollution, traffic congestion and secondary incidents. Currently, the traffic data are available in thousands of public and private datasets and also generates terabytes of data each year. Though, it is infeasible to manage the huge datasets by utilizing traditional software and hardware. It is therefore essential that an automated system to predict road accidents is developed. The present review paper investigates the researches done on road accident prediction, particularly for urban roads under heterogeneous traffic conditions. It also explores the problems faced in existing works by researchers. This review paper helps researchers achieve a better solution for the current problems faced by heterogeneous traffic conditions when it comes to urban road accident prediction. The findings demonstrate that the operating speed and the disparities between the speed restrictions and the operating speed are the key factors influencing the accident frequency rate.

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