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109 articles for “nonlinear parameter”
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Influence of Additives and Durability Cycles on the Resilient Modulus of Asphalt Stabilized Soil
Abstract: Asphalt stabilized subgrade soils usually show a nonlinear and time dependent response under traffic loading. The elastic property of asphalt stabilized soil is defined by the resilient modulus to represent the nonlinearity behavior with respect to stress level. The aim of this work is to study the impact of durability cycles and additives on the resilient modulus and plastic parameter of the asphalt stabilized soil. Additive materials such as lime …
Published in Journal of Geotechnical Engineering · Vol. 4, Issue 2, 2017 · pp. 32–39 Read article
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AI-Driven Prediction of Mechanical and Thermal Properties in Polymer-Based Functionally Graded Composites
Abstract: The proposed architecture of the current paper is an artificial intelligence (AI)-driven model of forecasting mechanical and thermal aspects of polymer-based functionally-graded composites (FGCs). Traditional micromechanical and finite element models, which are practical in homogeneous composites, might not be able to account in nonlinear interaction that is caused by compositional gradient. To overcome the challenge, machine learning (ML) models like artificial neural network (ANN), support vectors regression (SVR), and gradient-boosted …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 70–89 Read article
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Mathematical Modeling of Tumor Growth and Immune System Interaction Incorporating Time Delays and Suppression Effects for Tumor Control
Abstract: Cancer growth is a complex biological process influenced by various factors, including the dynamic interaction between tumor cells and the host immune system. Mathematical modeling serves as a powerful tool to understand these interactions and predict the outcomes of different therapeutic strategies. This study presents a mathematical framework that captures the essential dynamics of tumor-immune interactions, specifically incorporating the effects of time delay and immune suppression mechanisms. Time delay accounts …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 3, 2025 · pp. 25–34 Read article
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Study of an Improved Quantum Particle Swarm Optimization-Based Framework for Neural Network Optimization in Modelling of Polymer Data
Abstract: The accurate forecasting of polymer viscosity at various physicochemical conditions has been quite critical due to the nonlinear interactions and interrelations between the variables. This paper suggests a better hybrid modelling framework, which involves the use of Artificial Neural Networks (ANN) and more advanced versions of Quantum Particle Swarm Optimization (QPSO) to better predict polymer viscosity. The input parameters taken are, namely, log (shear rate), polymer concentration, NaCl concentration, Ca …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 282–297 Read article
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Fractional Calculus-Based Analysis of Magneto-Thermal Nanofluid Flow Over Stretching and Shrinking Surfaces
Abstract: This study presents a comprehensive investigation of magneto-thermal hybrid nanofluid flow over stretching and shrinking surfaces using a fractional calculus framework to capture the memory and hereditary characteristics of complex fluid transport phenomena. The proposed model incorporates the effects of magnetic field intensity, thermal radiation, viscous dissipation, Brownian motion, and thermophoretic diffusion on the velocity and temperature distributions within the boundary layer region. A fractional-order derivative formulation is employed to …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 2, 2026 · pp. 1–10 Read article
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Lyapunov-Stable Adaptive Fractional-Order Interval Type-2 Fuzzy Control for Robust Anti-Lock Braking Under Uncertain Road Adhesion Conditions
Abstract: This paper proposes a Lyapunov-stable Adaptive Fractional-Order Interval Type-2 Fuzzy Logic Controller (FO-IT2FLC) for robust anti-lock braking system (ABS) control under nonlinear vehicle dynamics and uncertain road adhesion conditions. The proposed framework integrates fractional-order error dynamics to capture memory-dependent tire–road interaction, interval Type-2 fuzzy inference to model uncertainty via footprint-of-uncertainty representation, and a Lyapunov-based adaptive learning mechanism for real-time parameter tuning. A rigorous stability proof guarantees boundedness of all closed-loop …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 2, 2026 · pp. 31–41 Read article
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Dynamic Modelling, Simulation of Single-Link Flexible Robot Manipulator and its Control
Abstract: This paper presents the dynamic modelling of single link flexible manipulator based on Assumed Modes Method. Modelling of flexible robot manipulator is a challenging task because of its nonlinearity and complexity involved in the dynamics. Kinetic energy, potential energy, and dissipation energy are taken into consideration for dynamics modelling. The model is simulated using SIMULINK software by considering proper parameters and constants. Modelling dynamics is simulated by using two different …
Published in Journal of Control & Instrumentation · Vol. 5, Issue 3, 2014 · pp. 15–21 Read article
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Physics-Adaptive Digital Twin with Neural-Operator Reduced-Order Modelling
Abstract: This study proposes a novel Physics-Adaptive Digital Twin with Neural-Operator Reduced-Order Modelling (PADT-NO) framework for predictive modelling of complex, nonlinear, and multiscale fluid flows. The proposed mathematical framework integrates fundamental conservation laws, Navier–Stokes dynamics, physics-constrained neural operators, adaptive reduced-order modelling, and uncertainty-aware state estimation within a unified computational architecture. Unlike conventional computational fluid dynamics and purely data-driven approaches, the proposed model dynamically couples high-fidelity physical information with a low-dimensional latent …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 2, 2026 · pp. 89–103 Read article
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Modeling and Simulation of Radiative MHD Casson-Type Polymer Composite Flow over a Porous Wedge with Variable Thermal Source and Sink
Abstract: This study presents a numerical investigation of the radiative magnetohydrodynamic (MHD) flow and heat transfer characteristics of a Casson-type polymer fluid over a moving and extending porous wedge under the influence of a spatially varying heat source and sink. The Casson fluid model, representing a class of viscoplastic polymeric materials, is analyzed within the MHD framework to explore the combined effects of magnetic field intensity, rheological behavior, and porous medium …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 837–850 Read article
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A REVIEW PAPER ON BENDING ANALYSIS OF SHEET METAL WITH VARIOUS PROCESS PARAMETERS
Abstract: Sheet metal forming is a mostly use and expensive developed process. decrease of response time and costs, increases of the efficiency and superiority of the manufactured goods are very important for survival in the competitive manufacturing industry. Using Finite element analysis as a simulation Technique we can evaluate the performance of components, equipment’s and structures for various loading conditions. A categorization of managing geometry and material nonlinearity with regards to …
Published in Journal of Automobile Engineering and Applications · Vol. 5, Issue 2, 2018 · pp. 41–46 Read article
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Comprehensive Review of the Fundamental and Functional Properties of Crystalline Materials
Abstract: Crystalline materials, characterized by their highly ordered atomic arrangements, serve as the backbone of modern engineering and technology. This review provides a detailed examination of their diverse properties, categorized into mechanical, thermal, electrical, and optical domains. We analyze fundamental mechanical parameters such as the elastic modulus, yield strength, and fracture toughness, alongside functional behaviors like fatigue and creep. The discussion extends to thermal transport and expansion, electrical conductivity and resistivity, …
Published in International Journal of Crystalline Materials · Vol. 3, Issue 1, 2026 · pp. 20–24 Read article
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Simulation of Robust Control System for Hydroelectric Power Plant
Abstract: In this study, the modelling of a typical hydroelectric power plant with a high-water head and a long penstock is developed and implemented in MATLAB/Simulink. The proposed simulation system's models are created in a sophisticated way to allow for easy reuse. To compute and simulate hydraulic transients, the nonlinear properties of the hydraulic turbine, such as the elasticity of the penstock and the water hammer effect, were taken into account. …
Published in Journal of Control & Instrumentation · Vol. 13, Issue 3, 2022 · pp. 37–50 Read article
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Seismic Response Characterization of Vertically Irregular Multi-Storey Buildings Incorporating Mass and Stiffness Variations Using E-TABS Software
Abstract: The increasing demand for innovative architectural designs has led to the widespread use of vertically irregular configurations in high-rise reinforced concrete (RC) buildings. However, such irregularities significantly influence structural performance under seismic loading conditions, leading to complex structural behaviour and stress concentration at specific levels This study focuses on evaluating the seismic behaviour of vertically irregular multi-storey buildings using nonlinear time history analysis, which provides a realistic representation of structural …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 3, 2026 Read article
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Structure and Crystal Growth of Urea Doped P- Block Element
Abstract: Nonlinear optical (NLO) materials exhibiting second harmonic generation have attracted considerable attention over the past few decades because of their technological significance in areas such as optical communication, signal processing, and instrumentation. Urea, being an important NLO material, presents challenges in crystal growth and handling due to its highly hygroscopic nature. Various derivatives of urea have been investigated for NLO applications, and some have shown promising potential in this field. …
Published in International Journal of Crystalline Materials · Vol. 3, Issue 2, 2026 · pp. 08–13 Read article
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Symmetry Breaking in Mathematical Models: Bifurcation, Chaos, and Pattern Formation
Abstract: Symmetry breaking serves as a central organizing principle in the understanding of nonlinear systems across physics, biology, chemistry, and engineering. When a system transitions from a symmetric state to an asymmetric configuration, it often signals the onset of new structures, dynamic behaviors, or even chaotic regimes. This review explores symmetry breaking from the theoretical and mathematical perspectives of bifurcation theory, chaos theory, and pattern formation. We discuss how small parameter …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 25–30 Read article
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Optimized Machine Learning Framework for Battery State Prediction in Smart Charging Systems
Abstract: Good estimation of battery states, including State-of-Charge (SoC), State-of-Health (SoH), and Remaining Useful Life (RUL), are important in managing energy wisely and controlling the adaptive charging. This work introduces a streamlined machine learning model based on the ability to use multi-dimensional sensor measurements in terms of voltage, current, temperature, and cycle number to forecast battery conditions with high accuracy. Decent preprocessing, such as noise elimination, feature scaling, and calculated features, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 55–66 Read article
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Drum-Boiler Dynamics and its Water Level Control
Abstract: Boilers used for continuous steam generation on large scale. Controlling aspect in boiler process is highly difficult as the system is complex and exhibit nonlinearity, the dynamics of boiler varies with load and multivariable dependent. The main cause of instability in boiler operation is due to the integration effect in it. In addition to that, boilers are normally used where there is sudden load variation without prior knowledge. In this …
Published in Journal of Control & Instrumentation · Vol. 9, Issue 1, 2018 · pp. 10–16 Read article
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Photonic Design of Two Input XOR Gate at 50 Gbps Data Rate
Abstract: This manuscript explores the photonic design of two input XOR gate at 50 Gbps data rate. In the photonic circuit, each component exercised supports for the light wave propagation. The performance of optical XOR gate is alike to their digital variant. The key constituents utilized in designing of this photonic network are 2×2 optical coupler and semiconductor optical amplifier. The proposed design is executed by the igniting the nonlinear attributes …
Published in Journal of Microelectronics and Solid State Devices · Vol. 4, Issue 2, 2017 · pp. 32–39 Read article
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Synthesis and Applications of Copper- Doped Pyridine Precipitate
Abstract: A metal organic nonlinear optical single crystal, copper doped pyridine material, was created at room temperature using the slow evaporation solution growth technique (SEST). The developed material's crystalline nature was revealed by a powder X-ray diffraction (XRD) analysis. Single crystal XRD study shows that the material synthesized possesses monoclinic system of cell parameters, a = 11.44 Å, b = 7.92 Å, C = 11.74 Å and alpha and gamma is …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 1, 2025 · pp. 51–60 Read article
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Time-Cost Trade-off and Constraint Resource Scheduling Considering Overtime for Activity Expedition
Abstract: Project cost, duration and resources are three important parameters of a construction project. There is always a trade-off between project time and cost. While a lot of techniques are available to optimize the project time and cost in normal conditions, less effort is done to optimize them in a resource constraint conditions. This paper is focusing on a nonlinear integer framework for time-cost trade-off (TCT) and constraint resource scheduling (RCS) …
Published in Recent Trends in Civil Engineering & Technology · Vol. 6, Issue 2, 2016 · pp. 30–36 Read article