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41 articles for “frame deformation”
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Constrained Online Non Negative Matrix Factorization (CONMF) for Visual Tracking
Abstract: Visual tracking is the process of locating a moving object (or multiple objects) over time using a camera. It is one of the most important components in numerous applications such as military, secure control, crime prevention systems, access control and biometric identification etc. of computer vision. In visual tracking, holistic and part-based representations are both popular choices to model target appearance. The former is known for great efficiency and convenience …
Published in Current Trends in Signal Processing · Vol. 7, Issue 1, 2017 · pp. 8–18 Read article
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Effect of Strong Column Weak Beam Concept on Seismic Capacity of Buildings of Varying Heights: A Review
Abstract: The strong-column-weak-beam (SCWB) layout philosophy in which plastic deformation is authorized to arise most effective with inside the beams whilst the columns continue to be basically elastic is broadly followed in seismic layout codes for metallic second frames. Under this yield mechanism, the seismic strength is dissipated ordinarily with the aid of using the plastic hinges with inside the beams and on the column bases. The relative plastic flexural capacities …
Published in Journal of Structural Engineering and Management · Vol. 8, Issue 2, 2021 · pp. 45–53 Read article
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Behavior of R.C. Buildings with Steel Encased Elements Subjected to Impact Loads
Abstract: This study examines the resilience of steel-encased concrete column beams and frames against blast loads, a crucial concern in regions prone to terrorist threats or accidental explosions. An exhaustive literature review establishes the historical context and theoretical frameworks of blast-resistant design. The research employs finite element analysis (FEA) simulations to study the dynamic behavior of these structures under various blast scenarios, revealing insights into load distribution, deformation, and failure mechanisms. …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 1, 2024 · pp. 20–36 Read article
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Integrate AI and IoT to Develop Sustainable Polymer Structural Materials Processing Optimization: Enabled Monitoring Strategies for Performance and Lifecycle Assessment
Abstract: The need for long-lasting structural polymer materials that are both environmentally friendly and highly mechanically effective is driving demand for these materials as the industrial sector continues to grow. Optimizing processes, saving energy, detecting faults, and monitoring structures are all hindered by conventional polymer manufacture. This study suggests an AI-IoT system for environmentally friendly production of structural polymer materials to get around these problems. Tools for evaluating system performance and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 169–192 Read article
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Buckling of Column of Supporting Frame Structure : A Review
Abstract: Column is a vertical strut or structural member which is subjected to an axial compressive load used for supporting purpose. For column, materials like reinforced concrete and mild steel are widely used. Angle section, I-section, channel section, box section are the common type of sections used for column. A form of deformation or sudden sideway failure of column occurs due to high axial compressive force is termed as buckling. When …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 1, 2018 · pp. 31–40 Read article
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Intelligent Electromagnetic Synthesis: An AI-Driven IoT Framework for Adaptive Antenna Design in Missile Navigation
Abstract: The rapid evolution of hypersonic and long-range tactical missile systems necessitates antenna architecture capable of maintaining robust communication links under extreme thermal, mechanical, and signal-jamming environments. Traditional antenna design methodologies often relying on iterative simulation cycles and static optimization are increasingly insufficient for the real-time requirements of modern aerospace navigation. This paper proposes an AI-driven, IoT- integrated framework that facilitates autonomous antenna design and performance optimization. By deploying a distributed …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 1, 2026 Read article
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Seismic Performance of Flat Slab Buildings Considering P-Delta Effect
Abstract: Flat slab structures are becoming quite popular due to functional and architectural advantages. The flat slab structures are flexible when compared to framed structures as the slab is directly columns. Typically the seismic forces in such a structure are resisted by shear wall systems. Under design seismic conditions the lateral displacements are large and the columns deform along with the lateral load resisting system. Under such conditions the columns are …
Published in Journal of Structural Engineering and Management · Vol. 7, Issue 1, 2020 · pp. 10–16 Read article
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Adaptive Drift Correction in Polymer-Based Wearable Biosensors via Data-Driven Signal Modeling
Abstract: Polymer-based wearable biosensors have emerged as a promising technology for continuous health monitoring due to their mechanical flexibility, biocompatibility, and suitability for long-term physiological interfacing. However, prolonged exposure to biofluids, environmental variability, and mechanical deformation introduces signal drift, which significantly degrades measurement accuracy and limits clinical reliability. This paper presents a data-driven methodology for compensating signal drift in polymer-based wearable biosensors using adaptive signal processing and machine learning techniques. The …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 131–139 Read article
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COMPARATIVE SEISMIC RESPONSE OF IRREGULAR HIGH-RISE RCC 25 STOREY BUILDINGS WITH AND WITHOUT SHEAR WALLS CONSIDERING P–DELTA EFFECT
Abstract: The seismic performance of high-rise reinforced concrete (RCC) buildings is significantly affected by plan irregularity, lateral stiffness distribution, and second-order (P–Delta) effects. Irregular structural configurations may generate torsional response and increased deformation demand under seismic excitation while geometric nonlinearity further amplifies displacement and internal forces in tall structures . This study presents a comparative seismic assessment of a G+24 storey RCC building having overall plan dimensions of 30,000 mm × …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 2, 2026 Read article
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Viscoelastic Behavior and Wrinkle Formation in Cotton- Polyester Garments: A Data-Driven Approach for Textile Care
Abstract: This study investigates the wrinkle behavior of cotton-polyester blended fabrics by analyzing data from over 1,200 store-handled garments. Integrating concepts from polymer chemistry and computer vision, it aims to establish a smart textile care framework based on fiber-specific wrinkle characteristics. The research identifies how cotton’s hydrophilic and non-elastic structure results in increased wrinkling, while polyester’s thermoplastic and crystalline properties enhance wrinkle resistance. Elastomeric fibers like Lycra contribute to wrinkle recovery …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 50–60 Read article
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Hybrid Composite Behavior of Concrete-Filled Steel Tube (CFST) Columns: Review of Collapse Mechanisms and Polymer-Based Enhancements
Abstract: Concrete-Filled Steel Tube (CFST) columns are an advanced hybrid composite system where the steel tube's confinement and the concrete core's load capacity work together to improve structural performance. While commonly used in civil engineering, CFSTs can also be understood within the framework of composite materials, similar to polymer- and fiber-reinforced composites, in which interactions between phases determine strength, ductility, and failure modes. This review compiles experimental and numerical research on …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 78–97 Read article
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Cardiovascular Modeling with Computational and Mathematical Methods
Abstract: The cardiovascular system, a complex network responsible for delivering life-sustaining oxygen and nutrients throughout the body, is a prime target for advanced understanding and improved therapies. Due to the inherent difficulties in directly observing internal physiological processes and the complexities of interactions within the system, computational and mathematical modeling have emerged as powerful tools in cardiovascular research. This article explores the significance of these methods in unveiling the heart's secrets …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 2, 2025 · pp. 11–21 Read article
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Analysis of Seismic Response of 3-D Steel Frame
Abstract: It is of critical importance that the structures that need seismic retrofitting are correctly identified, and an optimal retrofitting is conducted in a cost-effective fashion. Among the retrofitting techniques available, steel braces can be considered as one of the most efficient solution for seismic performance upgrading of RC frame structures. This paper investigates the seismic behavior of 3D-steel frame with different type of bracings for seismic loading condition corresponding to …
Published in Journal of Geotechnical Engineering · Vol. 2, Issue 2, 2015 · pp. 6–14 Read article
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Seismic Response for RC Frames on Sloping Ground using Pushover Analysis
Abstract: Open story structures are to be mainly susceptible to collapse and severe damage under earthquake excitation in hill areas. Nowadays many buildings constructed have soft ground story for various purposes, for example, multipurpose hall, parking etc. The examination has been led to get the reaction of RC open story building exposed to seismic tremor loads. In present work, twelve storied structure on inclined ground (150 with horizontal) are considered. The …
Published in Journal of Structural Engineering and Management · Vol. 7, Issue 2, 2020 · pp. 36–46 Read article
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Structural Analysis of Heavy Vehicle Chassis Using Various Geometries and Materials
Abstract: The present research investigates the significance of the automobile chassis as a crucial section of a vehicle that provides a framework for the body and other parts to rest on. It highlights the need for the chassis to have sufficient bending stiffness for the best handling qualities, as well as enough rigidity to withstand shocks, twists, vibrations, and other loads. The draft and designing model for all the sections (I, …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 9–33 Read article
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Study the Impact of Corrosive Pollutants on Building Materials Corrosion
Abstract: Reinforced concrete structures (RCS) may be made more resistant to corrosion by using fiber reinforced polymers (FRP). One of the primary concerns with reinforced concrete constructions is corrosion. It causes disintegration in building material components by interactions with salts, acids, and alkalis. Both within and outside of reinforced properties, pollutants and effluents accelerate disbanding. When bio-waste and building materials come into contact, microorganisms and macro organisms, grow and emit acid …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 2, 2024 · pp. 20–29 Read article
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ML-Driven Defect Detection in Additive Manufacturing of Polymer Composites Using Thermal Imaging
Abstract: Polymer-based flexible biosensors have emerged as a pivotal technology in continuous health monitoring, yet their deployment in real-world settings is often hindered by undetected micro-defects and signal distortion caused during fabrication or usage. Existing diagnostic frameworks typically rely on post-hoc processing or bulky instrumentation, failing to offer scalable, real-time detection during additive manufacturing workflows. This study introduces an end-to-end, thermographic imaging-integrated framework for in-situ defect identification during the additive manufacturing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 201–215 Read article
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Analysis of Friction Stir Welding Utilizing ANSYS: A Study Based on Simulation
Abstract: Friction Stir Welding (FSW) represents a sophisticated solid-state welding methodology that has attracted considerable scholarly attention due to its efficacy in amalgamating high-strength, lightweight substrates including aluminium, magnesium, and titanium alloys. FSW enables the fabrication of defect free products with a substantial amount of mechanical and wear properties. The process is highly sensitive to various parameters that significantly influence the quality and strength of the final product. Studies have shown …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 2, 2025 · pp. 62–77 Read article
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Role of Fatigue and Creep in Structural Damage: A Comprehensive Review
Abstract: Fatigue and creep are two critical degradation mechanisms that significantly influence the structural integrity and longevity of engineering materials. These phenomena arise due to different loading and environmental conditions but often coexist in various industrial applications, leading to severe material degradation over time. Fatigue primarily results from cyclic loading, where repeated stress variations induce microstructural damage and crack initiation, ultimately causing catastrophic failure. Conversely, creep occurs under sustained stress at …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 1, 2025 · pp. 22–26 Read article
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Deep Learning-Enhanced Polymer-Based Wearable Biosensors for Continuous Health Tracking via IoT
Abstract: The rapid proliferation of wearable biosensor technologies has transformed approaches to real-time health monitoring, yet challenges persist in achieving both mechanical robustness and reliable, continuous data analytics in dynamic environments. Conventional polymer-based sensing systems often fall short due to limited signal fidelity, inadequate adaptive analytics, or insufficient integration with secure, low-latency IoT frameworks. Addressing these deficiencies, this work introduces a flexible, deep learning-enhanced wearable biosensor platform that combines a nanostructured …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 18–31 Read article