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397 articles for “Structural engineering”
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Nano-Chemical Revolution in Vaccinology: A Study
Abstract: The development of traditional vaccines, reliant on attenuated pathogens or purified proteins, has historically been limited by slow development timelines, poor stability, and low immunogenicity requiring potent, often non-specific, adjuvants. This synthesis argues that the convergence of nano-material science and meticulous chemical engineering represents the next major paradigm shift in preventative medicine. Nano-materials, particularly Lipid Nanoparticles (LNPs) and various polymeric or inorganic scaffolds, have transitioned from theoretical constructs to essential …
Published in Research and Reviews : A Journal of Immunology · Vol. 16, Issue 1, 2026 Read article
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Investigation of Bio-Physical Interaction and Electrophoretic Properties of Fe3O4/DNA Nanocomposite and Colloids for Biomedical Application
Abstract: In recent years, research on magnetic nanoparticles has gained significant attention. The core concept behind their physics lies in their interaction with biomolecules such as hemoglobin, DNA, and RNA. This study examines the fundamental forces involved in these interactions, including van der Waals attractions, electrostatic repulsion, thermal effects, and magnetic coupling between nanoparticles and biological molecules. To describe these interactions quantitatively, parameters such as zeta potential, magnetic moment density, and …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 3, 2025 · pp. 20–32 Read article
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Design and Development of Fiber Sandwiched Composite Materials for the Improvement of Mechanical Properties
Abstract: This research paper presents the development and mechanical characterization of fiber sandwiched composite materials (FSCM) to address the increasing demand for high-strength, lightweight, and corrosion-resistant materials in advanced engineering sectors such as automotive, aerospace, and transportation industries. Traditional homogeneous materials such as metals, ceramics, and polymers often fail to provide a balanced combination of properties like high tensile strength, low density, toughness, abrasion resistance, and impact resistance needed for modern …
Published in Journal of Experimental & Applied Mechanics · Vol. 17, Issue 1, 2026 · pp. 22–37 Read article
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Critical Review of Study of Conventional and Pre Engineered Building
Abstract: Human race has steadily evolved over past centuries. Development of new technology, vigorous research, consistent efforts, indomitable will to find solutions for the problems, are the key factors to shape our future in way that everyone gets safe, secure and satisfactory life. Construction industries provides basic but most valuable service or product or we can say that construction industries fulfill the basic needs of individual and group of people by …
Published in Recent Trends in Civil Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 48–53 Read article
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Hydrodynamic Analysis of Symmetrical Naca Airfoils: A CFD Simulation Approach
Abstract: This study presents a comprehensive numerical investigation of the hydrodynamic characteristics of selected NACA airfoil profiles using advanced computational fluid dynamics (CFD) simulations performed in ANSYS Fluent. The primary objective is to evaluate the fluid–structure interaction behavior of these airfoils when subjected to marine flow conditions relevant to offshore and submerged engineering applications. By modeling the interaction between incompressible fluid flow and various NACA geometries, the study systematically analyzes key …
Published in Journal of Offshore Structure and Technology · Vol. 13, Issue 1, 2026 · pp. 31–38 Read article
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Physics-Informed Generative and Tensor-Based Framework for DNA Sequence Simulation and Genomic Structure Discovery
Abstract: In this paper, we explore the intersection of artificial intelligence (AI) and mathematical physics to propose advanced methods for DNA sequence generation and analysis. Specifically, we investigate how physics-informed Generative Adversarial Networks (GANs) and tensor network representations can be harnessed to restructure DNA for applications in genetic science. The proposed methodology offers a unique integration of concepts of thermodynamic modeling with innovative GAN architecture in order to allow the creation …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Prototype Model Development and Design Analysis of A Solar Tricycle for Physically Challenged People in India
Abstract: Society is greatly concerned about the mobility of individuals with physical disabilities. The scarcity of energy resources and the issue of pollution are currently the primary concerns. These issues can be resolved by employing alternative energy sources such as solar power. This paper presents an overview of the existing solar tricycles designed for those with disabilities. It also improves a handicapped-friendly solar-powered tricycle. The goal is to reduce handicapped people's …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 1, Issue 1, 2023 · pp. 43–56 Read article
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Managing Blow-by in Modern Engines: A Comprehensive Review of Crankcase Ventilation Technologies
Abstract: Blow-by in internal combustion (IC) engines occurs when high-pressure combustion gases escape past the piston rings into the crankcase. These gases typically carry oil aerosols, unburned hydrocarbons, and fine particulate matter, which, if not effectively managed, can disrupt lubrication, accelerate component wear, and contribute to harmful emissions. Effective crankcase ventilation is therefore essential not only for ensuring engine durability but also for meeting increasingly stringent emission regulations. This paper examines …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 317–324 Read article
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Structure–Property Modeling of Cement-Based Multi-Component Composites Using Ensemble Machine Learning and Explainable Feature Attribution
Abstract: Accurate prediction of compressive strength is central to structure–property optimization, quality control, and sustainability-driven design in cement-based composite materials. Cementitious systems represent heterogeneous multi-phase composites composed of reactive binder matrices and dispersed aggregate phases, whose macroscopic mechanical performance emerges from complex nonlinear interactions among constituents and curing-dependent microstructural evolution. This study develops a data-driven structure–property modeling framework to quantify the nonlinear dependence of compressive strength on multi-component composite composition and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 112–131 Read article
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Formation and Spectral with Nano- Study of Six and Seven Membered Ring Derivatives
Abstract: The nanoscale properties of some organic chemicals make the materials have multiple engineering, chemical, biological and industrial applications, including heterocyclic derivatives. Advanced research in this field has made it possible to use them widely as fluorinated materials and in the electronics industry. These derivatives also have good stability at different temperatures due to the presence of heterogeneous atoms within their structure. These cyclic derivatives have proven their biological effectiveness against …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 2, 2025 · pp. 85–95 Read article
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Bioconjugates and Biohybrid Polymers: Intricate Cellular Integration Methods and Sophisticated Biofunctionalization Techniques for Tailored Properties in Medical Contexts
Abstract: Bioconjugates are made when biological molecules are covalently linked to manufactured polymers. They can be used in many ways for imaging, diagnosis, and specific drug delivery. Getting perfect cellular fusion is very important for how well they work. Biomolecules can be attached to polymer scaffolds in a controlled way using techniques like click chemistry and site-specific conjugation. This makes sure that the molecules connect optimally with their biological targets. Using …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 227–243 Read article
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Polymeric Nanocomposite Aided Bioaugmentation for Marine Oil Spills – A Review
Abstract: Bioaugmentation is a promising, cost-effective bioremediation technique that enhances the degradation of marine pollutants by introducing hydrocarbon-degrading microorganisms. This review explores recent advancements in the use of bioaugmentation for petroleum biodegradation in marine environments, emphasizing the integration of microbial systems with polymeric and composite materials. Innovative methods, such as the immobilization of microbial cells within biodegradable polymeric matrices (e.g., alginate, chitosan, polyvinyl alcohol), have significantly improved microbial viability, metabolic efficiency, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1049–1061 Read article
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Dual-Stream Deep Learning Framework for Brain CT Image Classification and Implications for Polymer Composite Neuro Implant Evaluation
Abstract: Early and accurate classification of brain CT images is critical for diagnosing conditions such as aneurysms, tumors, and related lesions. We present a dual-stream image-classification framework that fuses convolutional neural network (CNN) features with handcrafted Histogram of Oriented Gradients (HOG) descriptors to jointly capture global semantics and local textural cues. The pipeline begins with modality unification via pixel-wise averaging to form a fused input, which is then processed in parallel …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 172–179 Read article
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ML-Enhanced Smart Sensing Framework for IoT- Based Structural Health Monitoring Using Conductive Polymer Composites
Abstract: The growing demand for intelligent structural health monitoring (SHM) in dynamic infrastructures necessitates flexible sensing systems that are not only mechanically robust but also capable of real-time interpretation. Conventional SHM frameworks often rely on brittle sensor configurations and cloud-dependent processing pipelines, which suffer from latency, limited durability, and poor adaptability under variable loading conditions. Despite recent advances in composite materials and machine learning, current approaches lack a unified framework that …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 348–369 Read article
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Enhancing ABET Summative Direct Assessment with AI and Blockchain: A Framework for Personalized Learning and Secure Evaluation
Abstract: Accreditation Board for Engineering and Technology (ABET) emphasizes the achievement of specific measurable learning outcomes. However, conventional assessment methods often find it challenging to accurately capture the complexities of student learning and program effectiveness within the ABET framework. This study proposes a novel framework that enhances ABET summative direct assessment by integrating a carefully structured, weighted assessment system with the transformative potential of artificial intelligence (AI) and blockchain technologies. The …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 1, 2024 · pp. 28–42 Read article
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Real-Time Edge Detection Camera Module Using Discrete Taylor Transform and Heat Equation (PDE): An Applied Mathematical Approach
Abstract: In modern digital signal processing, the capability for denoising and smoothing in real time is very important in scientific, engineering, and industrial applications. This paper presents an efficient hybrid framework that merges two mathematically sound methods, namely, DTT and PDE defined as the Heat Equation, to robustly denoise a signal with minimal distortion. The model addresses one of the most challenging tasks in signal restoration, which maintains the fidelity of …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 Read article
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Stabilization of Reinforced Earth Wall Backfill Using Steel Slag and Recycled PET Fiber: A Composite Material Approach
Abstract: Reinforced Earth (RE) walls are widely used in infrastructure due to their structural efficiency and ease of construction. However, they typically require high-quality granular backfill, which may not be readily available or cost-effective in many regions. This study investigates the potential of utilizing locally available sandy clay soil stabilized with industrial and plastic waste materials specifically 20% steel slag and 0.75% shredded polyethylene terephthalate (PET) fibers, as an alternative backfill …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 110–127 Read article
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Advances in Polymer Chemistry for Biomedical Applications: Innovations in Composite Materials
Abstract: Polymer chemistry has seen remarkable progress in recent years, particularly in the biomedical field, where novel polymeric materials are transforming the development of medical devices. These advancements have led to the creation of biocompatible, durable, and multifunctional polymer-based solutions that enhance patient care, surgical precision, and treatment outcomes. The application of polymer chemistry in biomedical sciences has revolutionized medical device manufacturing. Polymers offer unique advantages such as flexibility, biocompatibility, and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 287–292 Read article
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Machine Learning-Assisted Design and Optimization of Lightweight Polymer Composites for IoT-Enabled Automotive Applications
Abstract: This study aims to develop an integrated machine learning and optimization framework for the intelligent design of lightweight polymer composites suited for IoT-enabled automotive applications. The goal is to enhance material performance while satisfying multiple design constraints such as mechanical strength, thermal stability, and process compatibility. A curated dataset of polymer composite formulations was used to train a Random Forest Regression (RFR) model capable of predicting tensile strength, thermal conductivity, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 12–27 Read article
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From Differential Equations to Data Science: A Survey on Analytical Methods in Contemporary Problems
Abstract: The integration of differential equations and data science methods represents a dynamic and evolving approach to solving contemporary challenges across a wide range of disciplines, including engineering, physics, biology, economics, and finance. Differential equations have long served as fundamental tools for modeling continuous systems and processes, offering powerful insights into the behavior of natural and man-made phenomena. For example, they describe how heat diffuses through materials, how populations grow in …
Published in Recent Trends in Mathematics · Vol. 2, Issue 2, 2025 · pp. 1–6 Read article