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358 articles for “numerical model”
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Interference Effect between Prismatic Buildings Subjected to Microburst Wind
Abstract: Severe thunderstorms are important weather phenomena which impact on various facets of national activity like civil and defense operation, particularly aviation, space vehicle launching and agriculture in addition to its damage potential to life and properties. One of the most important events in the thunderstorms is the “Downburst”. Downbursts occur when a column of descending air reaches the ground and bursts out violently. This downward motion abruptly changes direction and …
Published in Journal of Industrial Safety Engineering · Vol. 1, Issue 1, 2014 · pp. 23–31 Read article
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Modeling Galaxy Formation in a Hierarchical Universe: A Fiducial Approach and Comparison with Observational Data
Abstract: We have developed a detailed model to understand how galaxies form in the framework of hierarchical theories of structure formation. Our model accounts for key processes like the formation and merging of dark matter halos, the heating and cooling of gas inside these halos, the regulation of star formation driven by energy from evolving stars and supernovae, galaxy mergers, and the changes in star populations over time. This approach is …
Published in International Journal of Universe · Vol. 1, Issue 1, 2025 · pp. 30–36 Read article
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Phase – Field Modeling of Brittle and Ductile Fracture Under Complex Loading Conditions
Abstract: Phase-field modeling has emerged as a powerful computational framework for predicting fracture behavior in engineering materials, offering a unified description of crack initiation, propagation, branching, and coalescence without the need for explicit crack tracking. This study presents an in-depth examination of phase-field modeling applied to both brittle and ductile fracture under complex loading conditions, including multiaxial stress states, cyclic loading, thermal gradients, and dynamic impact. The phase-field approach regularizes the …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 2, 2025 · pp. 13–18 Read article
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POLYMER AND COMPOSITE-BASED GEOSYNTHETIC REINFORCEMENTS FOR SEISMIC STABILITY OF SOIL RETAINING STRUCTURES: MATERIALS, MECHANICS, AND PERFORMANCE REVIEW
Abstract: Geosynthetic materials based on polymer and composites have become important items for the structural performance and seismic resilience of the reinforced soil retaining systems. Mechanically stabilized earth walls in recent geotechnical engineering practice are increasingly based on enhanced polymeric reinforcements for enhanced tensile strength, durability, flexibility, and energy dissipation under dynamic loading. High-density polyethylene, polypropylene, polyester, and fiber-reinforced polymer composites are usually used. The present review focus on the recent …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Mathematical Modeling of Epidemics Using Stochastic Differential Equations: A Review
Abstract: The accurate modeling of infectious disease dynamics is crucial for predicting outbreaks and informing public health interventions. While deterministic models such as the SIR (Susceptible-Infected-Recovered) framework have traditionally been used to understand disease transmission, they often fail to account for the randomness inherent in real-world scenarios. Disease spread is influenced by numerous uncertain factors, including individual behavioral changes, environmental fluctuations, and imperfect data reporting. These uncertainties can significantly impact model …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 1–6 Read article
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Operational Modeling of Cutting Parameters Influence on Power Consumption and Surface Roughness in CNC Turning of AISI 304
Abstract: This paper describes the power consumption and surface roughness predictive model development in computer numerical control (CNC) turning of AISI 304 austenitic stainless steel using Taguchi method and response surface method (RSM). The experiments are designed and conducted based on Taguchi’s design of experiments (DoE) with cutting speed, feed rate, depth of cut and nose radius as the process parameters. Signal-to-noise (S/N) ratios of responses are calculated to identify the …
Published in Journal of Production Research & Management · Vol. 3, Issue 1, 2013 · pp. 8–15 Read article
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Assessment of Fire Resistance of Offshore Structures under Special Environmental Loads: Emphasizing Structural Integrity and Safety Measures for Extreme Conditions
Abstract: Offshore structures are exposed to a myriad of environmental challenges, including high temperatures and fire hazards, necessitating robust fire resistance measures to ensure structural integrity and the safety of personnel and facilities. This study aims to evaluate the fire resistance of offshore structures under special environmental loads, with a focus on the structural integrity and safety measures in place to withstand extreme conditions. The research methodology includes a comprehensive review …
Published in Journal of Offshore Structure and Technology · Vol. 11, Issue 1, 2024 · pp. 1–9 Read article
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Investigating The Feasibility of Basalt Fiber as A Carbon Fiber Substitute in Composites for Automotive Applications
Abstract: The escalating carbon footprint, a consequence of dwindling natural resources and surging energy demand, necessitates immediate measures to mitigate environmental impact. This prompted the current study: to look at alternative manufacturing materials that could be utilized as a carbon-free substitute without compromising on mechanical properties. Basalt fiber was identified as a potential eco-friendly replacement to carbon fiber which has several advantages over carbon fiber and is entirely natural and biodegradable. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 275–285 Read article
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Network Traffic Analysis Using Machine Learning
Abstract: Network traffic analysis and prediction has applications in a variety of fields and has recently attracted a considerable number of studies. To find numerous issues with current computer network applications, various sorts of studies are carried out and reported. A proactive strategy to guarantee safe, dependable, and high-quality network communications is network traffic analysis and prediction. For network traffic analysis, several methods, including data mining and neural network-based methods, are …
Published in Current Trends in Signal Processing · Vol. 12, Issue 3, 2022 · pp. 17–23 Read article
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The theoretical study of behavior of the gas bubble, fixed on the surface of a solid material, under simultaneous changes of the surface tension on the border section of the phases of the fluid-gas and contact angle
Abstract: In the practice of ore and particular coal flotation, the injection of oils (nonpolar reagents) into the flotation pulp intensifies the process of the flotation, separation of the particles of different minerals, and contributes of extraction into the foam product considerably of the larger and heavier particles, no floating before. However, conducted studies to present time do not permit to explain significant strengthening of contact between the bubble and the …
Published in Emerging Trends in Chemical Engineering · Vol. 6, Issue 3, 2019 · pp. 17–28 Read article
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Effect Analysis of Different ETL Layer Thickness in Perovskite (CH3NH3PbI3) Solar Cell Using CuSCN as Hole Transport Layer
Abstract: Thickness of Electron Transport Layer (ETL) shows an important role in terms of stability and efficiency of perovskite solar cells. In this paper, numerical simulation and detailed modeling on perovskite solar cell was carried out using perovskite material such as methyl ammonium lead iodide (MAPbI3, MA= CH3NH3) at various thickness’s of ETL layer using the SCAPS tool. The electrical properties of the “MAPbI3 material” used as active layer for different …
Published in Journal of Microelectronics and Solid State Devices · Vol. 10, Issue 1, 2023 · pp. 1–7 Read article
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Effect of ETL layer thickness on perovskite (CH3NH3PbI3) solar cell
Abstract: Abstract: Thickness of ETL (Electron transport layer) shows important role in term of stability and efficiency of perovskite solar cells. In this paper the numerical simulation and extensive modeling have been performed on perovskite solar cell using perovskite material such as methyl ammonium lead Iodide (MAPbI3, MA=CH3NH3) with the help of SCAPS tool. The electrical properties of the MAPbI3 material used as active layer, have been calculated for different parameter …
Published in Trends in Opto-electro & Optical Communication · Vol. 9, Issue 1, 2019 · pp. 32–37 Read article
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Impact Analysis of Different Active Layer (CH3NH3PbI3) Thickness Using Cu2O as Hole Transport Layer in Perovskite Solar Cell
Abstract: AbstractThickness of active Layer (CH3NH3PbI3) shows important role in term of stability and efficiency of perovskite solar cells. In this paper the numerical simulation and extensive modeling have been performed on perovskite solar cell using perovskite material such as methyl ammonium lead Iodide (MAPbI3, MA=CH3NH3) at different thickness with the help of SCAPS tool. The electrical properties of the MAPbI3 material used as active layer, have been calculated for different …
Published in Trends in Opto-electro & Optical Communication · Vol. 10, Issue 2, 2020 · pp. 15–20 Read article
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Artificial Intelligence in Trigonometry: Innovations, Applications, and Future Prospects
Abstract: Artificial Intelligence (AI) has transformed numerous scientific fields, yet its integration with classical mathematics such as trigonometry is still emerging. This paper explores how AI enhances trigonometric problem solving, learning, and real-world applications. We analyse AI-driven tools for teaching trigonometry, AI in geometric and spatial reasoning, usage in robotics and computer vision, and future directions for research. Key challenges, methodologies, and case studies are discussed to provide a comprehensive overview …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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A Review on Predicting Wear and Friction of PTFE Composites - Fillers to Machine Learning Models
Abstract: Polytetrafluoroethylene (PTFE) composites, a self-lubricating material with low friction, became an indispensable material in engineering applications where load carrying capacity and wear are crucial. The pure PTFE has poor mechanical strength and wear resistance which can be enhanced by the addition of fillers in appropriate volume fraction. The wear performance is dependent on various factors such as fillers, operating parameters, environmental conditions as well as manufacturing attributes. This makes the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 114–128 Read article
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A Perspective Review on Role of Environmental Pollutants in Developing Neurodegenerative Diseases
Abstract: As human society progresses towards industrialization, an excess number of environmental pollutants are released to our ecosystem, which significantly contribute in causing various health issues primarily associated with neurodegenerative diseases such as cognitive disorder, dementia, anxiety, Alzheimer, Parkinson etc. Because of their high global occurrence, these diseases have attracted attention in recent decades, however, the etiology of these diseases remains unclear. Pollutants are discharged into the environment by natural events …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 2, 2024 · pp. 1–18 Read article
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Automation and Robotics for Quality Control in Manufacturing: A Review of Technologies and Applications
Abstract: Automation and robotics technologies have rapidly evolved, transforming modern manufacturing processes by improving productivity, quality, and operational efficiency. This review examines key advancements such as cloud robotics, machine vision, Industry 4.0 robotics, Building Information Modeling (BIM) combined with Computer Numerical Control (CNC), joystick-controlled automation, and intelligent manufacturing systems. These technologies utilize artificial intelligence (AI), machine learning (ML), digital twins, collaborative robots, programmable logic controllers (PLCs), and cyber-physical systems (CPS) to …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 3, 2025 · pp. 36–48 Read article
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Wavelet based Adaptive Sliding Mode Control for Discrete Time Uncertain Nonlinear Systems
Abstract: This paper focuses on the development of a wavelet based adaptive sliding mode control strategy for a classof discrete time uncertain nonlinear systems. An adaptive sliding mode control is utilized to assure the stabletracking of uncertain nonlinear system under consideration. Wavelet neural network (WNN) is used to mimicthe uncertainties present in the system. Proposed scheme is derived to guaranty the necessary and sufficientreaching condition for sliding mode control in presence …
Published in Journal of Control & Instrumentation · Vol. 1, Issue 1-2-3, 2011 · pp. 59–68 Read article
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An Approach for Discrete-Time Systems Design Using MPSM Continued Fraction Expansion Technique
Abstract: AbstractThis paper presents a new method for the design of the high-order discrete-time systems to overcome the limitations and drawbacks of some of the existing methods. It uses the Multi Point Squared-Magnitude Continued Fraction Expansion (MPSMCFE) and factorization technique for obtaining both denominator and numerator of the reduced order models. The method is extended for the design of high order systems using the reduced order model in place of original …
Published in Journal of Instrumentation Technology & Innovations · Vol. 7, Issue 3, 2017 · pp. 11–15 Read article
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Participatory Risk Management Model for Construction Projects Using Expert Systems
Abstract: Construction involves processing of numerous interdependent risks. But risk management in the sector is still largely intuitive and mere system compliance. Meticulous efforts towards a system-based approach is lacking. These lapses emphasized the need for developing an easy to use participatory model for risk management at construction project sites. A model that would not only enhance the effectiveness of the risk management process but also generate essential knowledge that can …
Published in Journal of Construction Engineering, Technology & Management · Vol. 6, Issue 2, 2016 · pp. 17–24 Read article