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CONTENTS
Volume 10, Number 3, July 2025
 

Abstract
Functionally graded materials (FGMs) are advanced materials with varying material properties directionally. The material properties, such as elastic modulus, density, thermal conductivity, and thermal expansion coefficient, improve by combining different materials. The structure thus offers a better strength-to-weight ratio, thermal resistance, and durability in critical harsh environments. In the present study, material properties follow a power law for material gradation along the thickness of the cylinder. Navier's approach is followed to solve the second-order governing differential equations with the assumption of a plane stress condition to eliminate the complexity of differential equations, and MATLAB was used to solve stress and deformation variation analytically and for visualization. This research aims to provide an exact solution to stress and deformation for different real-life complex loading conditions with material non-homogeneity. It is essential to analyze various loading conditions to maximize the structure's lifecycle, minimizing the stresses induced. This analysis provides valuable insight to enhance the performance, reliability, and integrity of structures in the fields of aerospace, defense, mechanical, and civil. This research also provides a prominent connection for practical application to designing/analysis.

Key Words
FGM; hollow cylinder; material grading laws; Navier's method; thermo-mechanical analysis

Address
Sanjay Kumar Singh: Department of Mechanical Engineering, Chhatrapati Shivaji Institute of Technology, Durg, India

Lakshman Sondhi: Department of Mechanical Engineering, Shri Shankaracharya Technical Campus, Bhilai, India

Rakesh Kumar Sahu: Department of Mechanical Engineering, Visvesvaraya National Institute of Technology, Nagpur, India

Royal Madan:Department of Mechanical Engineering, Graphic Era (Deemed to be University), Dehradun 248002, Uttarakhand, India

Anil Prakash Singh: Maharana Pratap Polytechnic, Gorakhpur, 273015, India

Abstract
Social media has become a significant aspect of individuals' everyday lives as it enables communication and information exchange. However, these channels are also being used to spread misinformation and harm others. A novel approach called the Coati Attention Transformer Prediction (CATP) framework was implemented, where social network intrusion detection data was initially considered and trained in the system. Preprocessing was conducted to eliminate noise variations from the trained database, and present features in the database were estimated by the coati optimal behavior. Then, the attack was predicted, and classification was conducted based on different classes. The suggested model exhibits an outstanding success rate, achieving an F1-score of 99.98%, a recall of 99.98%, a precision of 99.98%, an error rate as minimal as 0.02%, and an accuracy of 99.98%. The proposed model shows the best success rate with accuracy.

Key Words
classification; coati optimization; intrusion detection; preprocessing

Address
Chinnakka Sudha: Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India

Sreenivasulu Bolla: Department of Artificial Intelligence & Data Science,Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India

Abstract
In the present study, free vibration analysis of an FG plate has been performed by employing trigonometric shear deformation plate theory. The selection of an appropriate homogenization model is important as it could significantly influence the material behavior. Therefore, well-known micromechanical models such as Voigt, Reuss, and representative volume element method have been studied and their results are compared. The effect of various boundary conditions was also seen by changing the boundary conditions as SSSS, CCCC, CSCS, and FCFC. The mechanical properties change uni-directionally across the thickness according to a simple power law. Hamilton's principle is applied to derive the governing equations of motion, and Navier-type analytical solutions are formulated for vibration analysis. The study examined the impact of the power-law index, length-to-thickness ratio, micromechanical models, and boundary conditions on the natural frequencies of the FG plate.

Key Words
boundary conditions; FG plate; free vibration; functionally graded material; micromechanical models

Address
Mohamed Saad: Department of Mechanical Engineering, University of Tiaret, BP 78 Zaaroura, 14000 Tiaret, Algeria

Latifa Ould Larbi and Hassen Ait Atmane: Laboratory of Structures, Geotechnics and Risks, Department of Civil Engineering, Hassiba Benbouali University of Chlef, Chlef, Algeria

Lazreg Hadji and Nafissa Zouatnia: Department of Civil Engineering, University of Tiaret, BP 78 Zaaroura, 14000 Tiaret, Algeria

Royal Madan: Department of Mechanical Engineering, Graphic Era (Deemed to be University) Dehradun- 248002, Uttarakhand, India


Abstract
The integration of AI-driven computation, real-time data streams, and image processing is reshaping traffic management and urban logistics optimization. This research builds on the NarrQuest system—a globally pioneering narrative–computational methodology formalized through a five-article methodological canon and fifty published monographs—to introduce a first-of-its-kind logbook-based optimization framework. In this approach, personal journey narratives are encoded into structured search heuristics, transforming subjective records into formal routing constraints. Classical combinatorial optimization models, from Travelling Salesman Problems (TSP) to Vehicle Routing Problems (VRP), Integer Programming (IP), Scheduling, and Queueing Theory, are reformulated within this narrative optimization paradigm. Using multi-campus delivery datasets, exhaustive enumeration resolves small-scale TSP instances, while VRP formulations incorporate multi-agent constraints such as vehicle capacity and time windows. Integer Programming enhances modeling flexibility under contextual constraints, and Scheduling with Queueing theory stabilizes dynamic system performance. Large-scale complexity is addressed through AI-powered metaheuristics, particularly Genetic Algorithms for adaptive routing. Real-time image processing—including computer vision traffic sensing and behavior-informed demand forecasting—further strengthens responsive decision-making. Game-theoretic models capture strategic interaction within dynamic logistics ecosystems. This work positions NarrQuest not merely as a theoretical contribution, but as the first narrative-driven computational architecture with demonstrated capacity to meet other indexed algorithmic publication standards, bridging lived experience and intelligent logistics computation.

Key Words
combinatorial optimization; genetic algorithm; logbook-based optimization; narrative modeling; NarrQuest; smart logistics; vehicle routing

Address
Gabriel Chen: NarrQuest Narrative Observatory, Kaohsiung, Taiwan

Abstract
The applications of composite materials have been increasing significantly in recent decades due to their superior mechanical properties and versatility. The major effect limiting the use of composite materials is the lack of understanding of their response and their structural integrity under dynamic loads. Among the prominent damage mechanisms, the debonding under dynamic loading is a well-recognized failure mode for laminated composites. Up to date, the impact of the significant parameters on the delamination is thoroughly examined in this study with primary focus on the hemispheric indenter diameter and the characteristics of the exerted load applied at constant energy levels. The damage morphology has been carefully investigated using X-ray computed tomography, quantifying the shape and size variation of delamination areas across plies. The experimental observations have been incorporated into the finite element modeling, carried out in ABAQUS, by means of cohesive elements, which allow for the setting of a failure criterion. The main delamination area has been confirmed to be localized on the tension side of the laminate, where the most bending stress is sustained. Moreover, the angular difference between adjacent plies that articulates the distribution of the interlaminar stresses has to be taken into consideration, since it has a great impact on the extent of delamination. It is concluded that the initiation of delamination can be detected using a delamination threshold load based on the quasi-static load-displacement curve. These results illustrate the importance of the indenter radius to thickness ratio as a governing parameter in the structural response of composite plates, aiding in the development of more accurate predictive models for damage assessment.

Key Words
CFRP laminates; composite; delamination; quasi-static impact and cohesive zone model

Address
Mazin Y. Abbood, Ahmed N. Uwayed: Dept. of Mechanical Engineering, College of Engineering, University of Anbar

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