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72 articles for “analytical model”
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Analytical Modeling and Simulation of Helical Gear Systems for Improved Load Distribution
Abstract: An analytical modeling and simulation methodology to improving load distribution in helical gear systems is presented in this research study. Fundamental parts of many mechanical systems, helical gears provide the benefits of smooth engagement, lower noise levels, and increased weight bearing capability. However, retaining lifespan and dependability in gear systems requires establishing regular load distribution throughout the gear teeth. This work explores the parameters influencing load distribution and suggests strategies …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 10, Issue 1, 2024 · pp. 1–10 Read article
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An Analytical Model to Predict a Real Time Temperature Variation During Laser Treatment of Cancer Tissues
Abstract: This work presents an analytical solution to provide a real time variation in increase of temperature during laser-treatment of cancer tissues. Energy conservation equation is used to model the respective laser treatment process considering application of the laser and related heat loss as heat source terms. The present prediction is validated first with existing literature and extended the same to predict the effect of different process variables, such as laser …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 11, Issue 1, 2025 · pp. 1–8 Read article
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Analytical Modeling of Brick–Mortar Couplet
Abstract: This paper is a presentation of the finite element modeling of stress in a brick–mortar couplet. The brick–mortar couplet here serves as a meaningful substitute for a brick wall structure. In this work, the basic steps in derivation of the element stiffness matrix for a plane stress problem using the displacement approach are presented. The main purpose in the work is to verify the nodal displacements, which in turn would …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 6, Issue 1, 2020 · pp. 5–13 Read article
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Coupled Dynamics in Fluid-Structure Interaction Systems: A Review of Analytical and Computational Models
Abstract: Abstract: Fluid-Structure Interaction (FSI) systems embody the complex, coupled behavior between deformable or flexible structures and surrounding fluid flows. This interaction is inherently nonlinear and dynamic, posing significant challenges in modelling, simulation, and analysis. Understanding and accurately predicting the behavior of FSI systems is critical across a broad spectrum of engineering applications, including aerospace structures undergoing aeroelastic effects, underwater vehicles interacting with fluid currents, biomedical devices, such as heart valves …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article
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Seismic Behavior of Composite Steel-Concrete Beams in High-Risk Earthquake Zones: An Analytical and Experimental Approach
Abstract: Abstract This study investigates the seismic performance of composite steel-concrete beams in high-risk earthquake zones through a combination of analytical modeling and experimental testing. Composite beams, which combine the strengths of steel and concrete, are increasingly utilized in structural designs due to their superior load-bearing capacity and ductility. The research emphasizes the behavior of these beams under seismic loading, focusing on critical parameters such as energy dissipation, load transfer mechanisms, …
Published in International Journal of Structural Engineering and Analysis · Vol. 11, Issue 2, 2025 · pp. 43–64 Read article
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Study on Torsional Behaviour of RC Flanged Beams Strengthened with Glass FRP
Abstract: Existing structures needs repair and rehabilitation due to Environmental deterioration, increased service loads, reduced capacity due to aging, deterioration owing to poor construction materials and workmanships and conditional need for seismic agitating. FRP has been used successfully in a large number of such uses for causes like low weight, high strength and durability. Many previous research works on torsional strengthening were focused on solid rectangular RC beams with different strip …
Published in International Journal of Structural Engineering and Analysis · Vol. 4, Issue 1, 2018 · pp. 15–21 Read article
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Climate Change Modeling Using Machine Learning and Big Data
Abstract: Climate change is now one of the biggest issues that affect the world today and studying its impacts for it is very significant in enabling the formulation of social policies. This paper also discusses how climate sciences, machine learning, and big data analytics can greatly help in the improvement of the current capacities in climate modeling. Explaining the methods of climate modeling, we look at how the big data offers …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 1, 2025 · pp. 6–11 Read article
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Intelligent Data Analytics on Cloud Infrastructure:Real-Time Insights and Managed Service Models
Abstract: This paper examines the integration of advanced data analytics and machine learning within modern cloud infrastructure, highlighting how organizations can transform large volumes of unstructured data into actionable business insights that drive competitive advantage. Cloud platforms leverage scalability and elasticity to efficiently process and analyze massive datasets in real time, allowing enterprises to identify hidden patterns, detect operational anomalies early, and generate accurate forecasts of future outcomes. A key factor …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 36–46 Read article
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A New Model for Prediction of Wellbore Stability Using the Three Dimensional Hoek–Brown Failure Criterion
Abstract: Wellbore stability is one of the crucial issues in oil and gas industries. The issues related to instability of wells, impose significant unwanted costs on drilling operation.The objective of this paper is to present the 3D-wellbore stability prediction models for vertical wellbores. The three dimensional Hoek–Brown strength criterion developed by Zhang and Zhu conjunction with linear poroelastic constitutive model is utilized to develop the models. This models leads to easily …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 3, Issue 2, 2017 · pp. 10–15 Read article
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Investigation of Tangential Shear Stress and Frictional Torque Coefficient over a Rotating Disk of the Rotor-Stator System
Abstract: Abstract The study investigates the prediction of tangential shear stress and the frictional torque coefficient over a rotating disk in a rotor-stator system under laminar inward flow conditions. The interaction between the rotating and stationary disks is governed by key parameters, such as volumetric flow rate, rotational speed of the disk, and the axial clearance between the two surfaces. These parameters are expressed in terms of dimensionless quantities, including the …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 11, Issue 1, 2025 · pp. 6–14 Read article
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Review on the Designs and Characteristics of High-Electron Mobility Transistors
Abstract: Many authors have presented different physics based analytical models to manifest the characteristics of high electron mobility transistors (HEMTs). The designs of HEMTs are highly important to achieve sufficient efficiency. Conduction band engineering in HEMTs is the reason to generate a two-dimensional electron gas (2DEG) at the heterointerface. Microelectromechanical systems (MEMS) and microwave engineering are the relevant areas for the applications of HEMTs.
Published in International Journal of Microwave Engineering and Technology · Vol. 4, Issue 1, 2018 · pp. 20–41 Read article
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Predictive Analytics in E-Learning: Enhancing Student Performance Through Machine Learning Models
Abstract: With the explosion of electronic devices and internet technologies in today’s world, the amount of data we store has grown massively. Data is simply information that has been organized in a way that makes it easy to share or work with. A potent technology that enables computers to learn from data without direct programming is machine learning, which we employ in our research. The focus of this study is on …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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Distribution Parameter Concentration of Alkalinity and Total hardness in Stagnant Water Environment: The Concepts of Oil and Gas Emission Influence
Abstract: Model for predicting the distribution parameter concentration of alkalinity and total hardness in stagnant water environment upon the influence of oil and gasemission was investigated in this paper. The model was formulated from the basic principle of mass and momentum concept which was resolved to obtain an ordinary differential equation. A mathematical tool known as the least square method was applied to resolve the differential equation to obtain quadratic equation …
Published in International Journal of Chemical Separation Technology · Vol. 6, Issue 1, 2020 · pp. 14–22 Read article
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Comparative Analysis of a G+29 RCC Building under Indian Wind Zones III, IV, and V Using Parametric BIM–FEM Integrated Workflow
Abstract: The increasing demand for high-rise reinforced concrete (RCC) buildings in urban regions has made wind-load assessment an important aspect of structural design. In tall buildings, wind-induced lateral forces significantly affect serviceability performance, structural stability, and occupant comfort. Recent advancements in Building Information Modelling (BIM) and finite element–based structural analysis have improved the efficiency, accuracy, and interoperability of structural design workflows. The present study investigates the comparative wind response of a …
Published in International Journal of Structural Engineering and Analysis · Vol. 12, Issue 2, 2026 Read article
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Advances in Machine Learning and Data Analytics: A Multidisciplinary Synthesis
Abstract: Machine learning has emerged as a key driver of innovation across a wide range of fields. Its transformative potential is evident in natural language processing, computer vision, and real-time automation, where it addresses intricate challenges with remarkable efficiency. This paper delves into recent developments in machine learning, spotlighting techniques, such as semi-supervised learning frameworks, stable diffusion models for generative tasks, and advanced lightweight architecture for real-time defection detection. By integrating …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 1, 2025 · pp. 12–17 Read article
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Simplified Analytical and Numerical Analysis for Stability of Tunnel and Foundation Containing Sloping Ground
Abstract: Tunnel, foundation and superstructure effect on the stability of slope. Numerical and simplified analytical analyses evaluate behavior of slope under various conditions. However, factor of safety indicates failure criteria of slope. Present research develops some simplified analytical formulae for a specific model and numerical code (PLAXIS 3D) performs finite element analysis of this model. During numerical analysis considers Mohr-Coulomb material model and drained condition. Factor of safety assesses from variations …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 7, Issue 2, 2021 · pp. 24–34 Read article
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Production of Dental Materials by Computer-Aided Manufacturing Technologies
Abstract: The aim of the present paper is to make a review of the modern trends in the development of the technologies for production of dental materials. An understanding of the currently available bonding strategies to CA/CAM materials can help the clinician to select the most indicated system for each category of materials. Three are the main trends in production technologies in dentistry last 30 years: digitalization, simulation and implementation of …
Published in International Journal of Computer Aided Manufacturing · Vol. 3, Issue 1, 2017 · pp. 36–39 Read article
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Steepening Pit Walls- Geotechnical and Economic Implications
Abstract: Current approach to pit-wall analysis tends to separate designs into distinct categories. The first consideration involves analysis of slope in which discontinuities actively participate in the failure mobilization. The second involves design analysis of non-structural controls which could results in a wide range of failure mechanisms. The third and the least sought for approach is the economic assessment of the slope design which could render optimized pit slope and the …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 7, Issue 1, 2021 · pp. 45–57 Read article
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An Analytical Approach to Calculate the One-Dimensional Drift Velocity in Bubble Columns
Abstract: The design and scale-up of a bubble column reactor require a complete understanding of its complex hydrodynamics, which is influenced by the physical properties of the phases, the operating variables, and the design parameters. Current design procedures for bubble columns involve several steps of pilot-plant experimentation, which is expensive and time-consuming. One of the critical unknown parameters involved in designing any gas-liquid system is the gas holdup. The gas holdup …
Published in International Journal of Chemical Engineering and Processing · Vol. 5, Issue 2, 2019 · pp. 1–9 Read article
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Finite Element Modeling of Deep Reinforced Concrete Beams with Web Openings
Abstract: The effects of openings on the ultimate capacity of deep beams have been studied experimentally by many researchers. However, there’s still need for analytical study using numerical methods and also the development of simple stiffness reduction models that can be easily used for quick prediction of the effects of opening sizes on the stiffness of deep reinforced concrete beams. This study is focused on modeling the behavior of deep reinforced …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 4, Issue 2, 2018 · pp. 22–30 Read article