Assam Don Bosco University Journals
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Use of Construction and Demolition Waste as Replacemnet of Fine Aggregate in Concrete Paving Block
India is beetle of both reclamation sites and landfill space for the disposal of construction and demolition (C and D) waste. It is important for India to adopt a strategy to reduce, reuse and recycle C and D waste. One of the ways to achieve this is using C and D waste in paving blocks as partial replacement of fine aggregate, reducing the quantity of C and D waste as well as the cost of fine aggregate in concrete. Different mix proportions were prepared for 0%, 20%, 40%, 60%, 80% replacement of C and D wastes fine aggregate. The compressive strength of paving block was measured. The results showed that maximum strength is achieved between the ranges of 40% to 60% replacement of fine aggregate with C and D waste fine aggregate, saving 3.28% cost of concrete. The study indicated that the C and D waste can effectively replace fine aggregate with little increase in strength. It is clearly beneficial in savings of virgin materials, often energy and CO2 emissions
Reservoir Operation Optimization for Dzuza Multipurpose Project in Nagaland Using Chance Constraint Linear Programming
In this paper a Chance Constraint Linear Programming (CCLP) was formulated for reservoir operation of Dzuza multipurpose project in Nagaland. The model can be used to determine the maximum annual hydropower that can be produced at different levels of reliability of meeting the irrigation demands. The irrigation requirement is taken as the priority which needs to be satisfied first. The release policy is defined by a chance constraint that the probability of meeting the irrigation release equaling or exceeding the irrigation demand, is not less than the specified value P. The CCLP model was run in LINGO 19.0 x 86 Version for various reliability levels of 60%, 65%, 70 % and 75% for meeting the irrigation demands with the objective of maximizing the annual hydropower generation. The model results gave global optimum solution for the down- stream release for the bed turbine, reservoir water elevation, hydropower produced by the bed turbine, end-of-period storage for each month and the monthly spill from the reservoir for all reliability levels and shows that as the reliability level of meeting the irrigation demand increases the annual hydropower generation decreases and as the reliability level of meeting the irrigation demand decreases, the annual hydropower production increases. For 75% reliability of meeting the irrigation demand, the maximum annual hydropower produced is 26.99969 M kWh. Beyond 75%, the solution was found to be infeasible. The optimal end-of-period storages (rule curve) for reservoir operation of Dzuza multipurpose project was also determined using the CCLP model. The graphs for Bed power release vs. Energy produced illustrated how hydropower produced increases with the quantity of bed power release.
Lightweight Low Carbon Concrete Using Secondary Aggregates- A Review Study
Increased urbanization and industrialisation have made concrete the most widely used material. Due to natural resources scarcity, not only raw materials as constituents can fulfil the requirement. The prime need is to reduce the overall carbon footprint and solid waste management by using recycled concrete, agricultural and industrial waste material. This paper reviews some researches of obtaining lightweight concrete using waste and recycled materials such as agricultural waste, plastic waste, expanded clay aggregates and scrap rubber tyres. The physical and mechanical properties of these materials have also been discussed in this paper. A comparative study has been done showing compressive strength, flexural strength, workability, durability of lightweight concrete and conventional concrete to promote the idea of using these materials in concrete
Simulated Conflict Based Safety Evaluation Models for Hetergenous Traffic in Controlled Intersections
In this paper, an attempt is made to investigate how traffic conflicts identified from microsimulation models can be correlated with explanatory variables which have been traditionally used in accident prediction models. In developing countries with heterogenous traffic streams, availability of accident data is limited especially since accidents are rare events. Such traffic streams normally have some unique attributes like absence of lane discipline, presence of non-motorized vehicles. In urban intersections with such slow-moving traffic streams, conflicts are more useful determinants of intersection safety rather than previous records of accidents since geometry of intersection may be changed from the time to time. Simulated conflict-based safety evaluation models were developed for intersections of Dhaka city. The intersections were modeled in VISSIM after suitable calibration, for 8 hours of peak hour traffic. Surrogate Safety Assessment Model (SSAM) was used to identify the corresponding simulated hourly conflicts from the resulting trajectory files. It was found that hourly simulated conflicts had a significant statistical relationship with observed hourly traffic volume entering the intersection from major and minor roads. Increasing volumes of non-motorized traffic was found to contribute to intersection safety
A Performance Analysis of Electric Vehicles
The revolution in the automobile industry is made by electric vehicles, hybrid electric vehicles, etc. In the next few years, these technologies will replace conventional vehicle systems completely. As technology evolves very rapidly, research and development in this area are very much required. This paper presents a detailed review of a variety of electric vehicles. The technological performance review discussed here will help researchers to move the research rapidly. In this paper, the author outlines and formulates a structural framework for understanding the optimality in the case of electric vehicles and hybrid electric vehicles
Adoption of Low-Cost Branding and Marketing Strategies for Entrepreneurs
The National Association of Software and Services Companies (NASSCOM) predicts that India will have about 10,000 start-ups by 2020. This is a large figure in terms of the number of entrepreneurs may pose a challenge to the young innovators to flourish in today’s cutthroat competition. These young entrepreneurs must target growth not only within India, but also abroad. “Branding” will be an important aspect for these companies to consider as they advance to large, recognized, and trusted companies. There are many approaches for launching and supporting brand campaigns and promotions that start-ups can adopt and that are well known in the market and among the various stakeholders involved (Upadhyay, 2018). Some of the strategies that can be adopted are co-sponsoring an event with relevant partners, trying to reach out to target audience by offering materials like brochures on products and services so that the target audience get an idea of these products and services thereby having an opportunity to provide feedback through different platforms. Under financial constraints, these young and future companies may also adopt low-cost brand opportunities. Promotion channels should be decided in such a way as to reach as many target customers as possible
Dynamic Traffic Signal using Image Processing
In cities, traffic on road is increasing rapidly resulting in traffic jams and reduced traffic flow. Traffic lights play a major role in regulation and management of traffic flow at junctions. These lights are controlled by traffic light controllers (TLCs) that are programmed to assign timely directions to drivers in Red, Yellow and Green signals. Current TLC(s) are based on programmable micro-controllers, which have limitations as their signal timings function according to a program that needs to be modified manually and does not have flexibility to accommodate the functionality to modify signal timings based on variable traffic. In this paper, inspired by advanced technologies, we have studied and tested a method to improve traffic flow at squares run by traffic lights in real-time. To make TLC(s) more efficient, we are proposing a technique which controls green, yellow, red signal switching based on the real-time calculation of traffic density through capturing and processing images of all incoming lanes at any junction. This paper also focuses on the algorithm for scheduling these lights according to vehicle density on the road, thereby aiming at reducing the traffic congestion on squares which will help people reach their destinations safe and in the least time possible