Journal of Mechanical and Construction Engineering (JMCE)

An Experimental Analysis of Coarse Aggregate Size Influence on Concrete Strength

Pankaj Singh, Dr Devesh Ojha — Mon, 25 Nov 2024 00:00:00 +0530

Concrete is one of the most widely used construction materials, and its mechanical properties, particularly compressive strength, are influenced by various factors, including the size of coarse aggregates. This research investigates the effect of different coarse aggregate sizes on the compressive strength of concrete. Through a series of controlled experiments, concrete samples with varying coarse aggregate sizes were tested, and the results demonstrated a correlation between aggregate size and compressive strength. This study provides insights into optimal aggregate selection for enhancing concrete performance in construction applications. The aim of this research is to evaluate the impact of different coarse aggregate sizes on the strength of concrete. The materials used in this study included water, fine aggregates, coarse aggregates, and cement. For testing fresh and hardened concrete, we employed the workability test (slump test) and the compressive strength test (cube test) in accordance with IS 456-2000. The specimens for compressive strength testing measured 150 mm x 150 mm x 150 mm and were cured for 7, 14, and 28 days, using a concrete mix with a grade of M20, (mix ratio of 1:1.5:3).The results indicated that concrete with aggregate sizes between 20 mm and 25 mm achieved higher compressive strength after 28 days compared to those with sizes of 12 mm to 19 mm and 4.75 mm to 10 mm.

A Comprehensive Study on Heavy Metal Contamination in Irrigation Water and Soil from Farmland Located Near Dravyavati River in Jaipur

Babusha Mittal, Priti Kaushik — Mon, 25 Nov 2024 00:00:00 +0530

The environmental issue today is the contamination of river water and soil by heavy metals. Various pollutants are generated and continuously increasing because of various human activities, which are affecting the environment. Numerous varieties of chemical substances are being discharged into the water and soil through different resources and processes, which affect the environmental quality in multiple ways. Highly toxic metals present in water and soil pose a high number of health risks to humans and animals. Heavy metals are among the primary pollutants. In this study, five soil samples were analyzed for heavy metals, including nickel, mercury, arsenic, copper, lead, and zinc. Additionally, five water samples were collected and examined such as copper (Cu), lead (Pb), nickel (Ni), mercury (Hg), zinc (Zn), and arsenic (As) for the detection of heavy metals in them. Soil samples collected from five different vil-lages, and water samples were obtained from four villages near the Dravyavati River, including Mohanpura, Baas Beelwa, Baadh Shyopur, Ashawala, and Sukhdevpura Urf Nohra. The samples were analyzed using Atomic Absorption Spectrometry (AAS), a technique used to detect trace element concentrations in soil and water. The study's findings indicated that copper and lead levels in all five soil samples were below the permissible limits set by the WHO (1996), while zinc levels exceeded the permissible limits in all samples. Nickel concentrations were higher in the soil of Sukhdevpura Urf Nohra and Mohanpura but lower in the other three villages. Mercury and arsenic were below BLQ level when all five samples were analysed. However, industrial ef-fluents discharged into the environment around the Dravyavati River Basin, now known as Amanishah Nallah, have severely impacted the basin's ecosystem. Industri-alization has had a detrimental effect on the soil irrigated by its waters.

Research Article Mathematical Modelling and Bending Analysis of Beams

Emarti Kumari, Brajesh Choudhary — Mon, 25 Nov 2024 00:00:00 +0530

In this communication finite element formulation of Euler-Bernoulli beam is done considering Hermites shape functions and illustrated the calculation of stiffness matrix, mass matrix and force vector in detail. Here, considered the various cross-section of beams such as trapezoidal, rectangular, circular, triangular, etc under various loading and boundary conditions to investigate the effect of transverse deflection, shear force and bending moment with change in cross-section of beams by using finite element method based commercial software ANSYS 18.1. Here, present numerical results are validated with analytical results of beams with different cross-sections, loading and boundary conations.

Drinking Water and Gastrointestinal Diseases: A Systematic Review

Yogita Ninama — Mon, 25 Nov 2024 00:00:00 +0530

Biological activity of human health depends on clean water. Obtain safe water and maintain sanitation are important in reducing disease transmission for public. Amongst Urban and Rural Water availability and poor hygienic practices are key concern as they play remarkable roles in the spread of water-based diseases. Environmental practice such as unhygienic water, poor sewage management and lack of sanitation encourages the breeding of mosquitoes and other forms of vectors within residential areas contribute to the increasing prevalence of waterborne diseases. This paper review well defines on waterborne diseases, its classification and the various practices apply in the bacteriological analysis of water.

Travel Recommendation System Using Content and Collaborative Filtering

Shaurya Goel, S.W.A. Rizvi — Mon, 25 Nov 2024 00:00:00 +0530

Tourism significantly impacts a nation's economy, yet there remains a void in platforms offering tailored information on local attractions. In our study, we propose a hybrid recommendation system amalgamating content and collaborative filtering methods to provide personalized tourist suggestions. This approach mitigates individual methods' drawbacks, enhancing recommendations' accuracy. To gauge item similarity, we employ cosine similarity while integrating SVD within a model-based collaborative filtering framework for improved outcomes. By utilizing a weighted hybridization technique, we effectively merge the outputs of both approaches. We collected tourist attraction and user data for implementation, yielding superior results compared to standalone content-based and collaborative filtering methods.

Performance Evaluation of Traction Motors Using Simulation Model Considering Different Driving Cycles

Umesh Singh, Atul Gaikwad, Neha Gupta — Mon, 25 Nov 2024 00:00:00 +0530

The abstract outlines the fundamental principles underlying traction motor operation, elucidating the role of these motors in converting electrical energy into mechanical motion for propelling EVs. Various types of traction motors, including DC motors, permanent magnet synchronous motors (PMSMs), induction motors, and switched reluctance motors (SRMs), are discussed, highlighting their unique features and performance attributes. In this research project we will explore the key performance metrics used to assess traction motor efficiency and effectiveness. Parameters such as torque-speed characteristics, power density, efficiency, and thermal management are analysed in detail, emphasizing their significance in determining overall vehicle performance and range. Electric Vehicle model is simulated for each type of traction motor for same drive cycles and other vehicle parameters being constant for each simulation model and evaluating traction motor’s performance by comparing their results. In this thesis, we develop both a vehicle dynamics model and a vehicle load model, taking into account various road conditions and drive cycles.