On propagation behavior of shear wave in piezoelectric-sandwiched structure

This paper delves into the analysis of shear wave propagation with a sandwiched structure comprising a piezoelectric layer and an elastic layer,with a transversely isotropic layer in between.The frequency equation has been derived following Biot’s theory.The dimensionless phase velocities numerical values are computed and visually depicted to demonstrate their dependencies on anisotropy,piezoelectricity,initial stress and porosity in a comparative manner.The explicit demonstration of the relationship between each parameter and the geometry has been presented.The observation shows that as porosity in the medium increases,the phase velocity also increases.Furthermore,the existence of medium anisotropy results in a decrease in the phase velocity of shear waves.Moreover,a correlation is observed where higher tensile initial stress within the medium leads to a corresponding reduction in the phase velocity of shear waves.We conclude that considered parameters(viz.piezoelectricity,anisotropy,porosity,initial stress and thickness of layers)affect the velocity profile of the shear waves significantly.This study holds practical significance in the development of innovative-layered composites,surface acoustic wave(SAW)devices and sensors utilizing intelligent piezoelectric devices for engineering purposes.

Implementation of blockchain technology in integrated IoT networks for constructing scalable ITS systems in India

The implementation of blockchain technology in integrated IoT networks for constructing scalable Intelligent Transportation Systems(ITSs)in India has the potential to revolutionize the way we approach transportation.By leveraging the power of IoT and blockchain,we can create a highly secure,transparent,and efficient system that can transform the way we move people and goods.India,one of the world’s most populous countries,has a highly congested and inefficient transportation system that often leads to delays,accidents,and waste of time and resources.The integration of IoT and blockchain can help address these issues by enabling real-time monitoring,tracking,and optimization of traffic flows,thereby reducing congestion,improving safety,and increasing the overall efficiency of the transportation system.This paper explores the potential of blockchain technology in the context of integrated IoT networks for constructing scalable ITS systems in India.The methodology followed is to develop a proof-of-concept blockchain-based application for ITS,implement the blockchain solution into the existing ITS infrastructure,and ensure proper integration and compatibility with other systems.Conduct thorough research and maintenance to ensure the reliability and sustainability of such blockchain-based systems.This research discusses the various benefits and challenges of this approach and the various applications of this technology in the transportation sector,including the green sustainability concept.The results find various ways in which such implementations of blockchain and IoT-Machine Learning(IoT-ML)can revolutionize transportation systems.

Modelling and Characterization of Basalt/Vinyl Ester/SiC Micro-and Nano-hybrid Biocomposites Properties Using Novel ANN–GA Approach

Basalt fiber reinforcement in polymer matrix composites is becoming more and more popular because of its environmental friendliness and mechanical qualities that are comparable to those of synthetic fibers.Basalt fiber strengthened vinyl ester matrix polymeric composite with filler addition of nano-and micro-sized silicon carbide(SiC)element spanning from 2 weight percent to 10 weight percent was studied for its mechanical and wear properties.The application of Artificial Neural Network(ANN)to correlate the filler addition composition for optimum mechanical properties is required due to the non-linear mechanical and tribological features of composites.The stuffing blend and composition of the composite are optimized using the hybrid model and Genetic Algorithm(GA)to maximize the mechanical and wear-resistant properties.The predicted and tested ANN–GA optimal values obtained for the composite combination had a tensile,flexural,impact resilience,hardness and wear properties of 202.93 MPa,501.67 MPa,3.460 J/s,43 HV and 0.196 g,respectively,for its optimum combination of filler and reinforcement.It can be noted that the nano-sized SiC filler particle enhances most of the properties of the composite which diversifies its applications.The predicted mechanical and wear values of the developed ANN–GA model were in closer agreement with the experimental values which validate the model.

Macro level performance study of Ahmadabad bus rapid transit system:Janmarg

Amidst the rapid urbanization in the country,the importance of urban public transport has been realized by the governments.Public transport is vital to the city's economy and ensures social equity.Bus Rapid Transit System(BRTS)has emerged as an exciting way to decongest the cities,enhancing and increasing mobility and accessi-bility and promoting transit-oriented development.India's longest BRTS,Janmarg,was created with similar ob-jectives.However,the system faces reduced ridership and inhibited growth because of its hidden inefficiencies.This research aims to identify all the factors affecting ridership,accessibility,and inhibiting the system's growth even after having sufficient infrastructure.It also aims to quantitatively determine whether Janmarg could achieve its establishment's objectives on the city transportation system after thirteen years of the successful implementation of the project.The research methodology used in this work combines primary and secondary research.The factors are responsible for preventing Janmarg from achieving its objectives and utilizing its full potential are determined and recommended ways to utilize adversities effectively.Results show that this study endorses reducing ambiguities and a way forward for making a sustainable transportation system.