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Item type:Publication, Hemodynamic responses to physical activity: Numerical analysis of dynamic behavior in microvascular structures under exercise-induced forces(2025-03-18); Bouallegue, BelgacemThis study investigates the complex relationship between physical activity and hemodynamic changes in the circulatory system using advanced mechanical and mathematical modeling. Under dynamic load, blood vessels are portrayed as microtubular structures, allowing for precise characterization of their biomechanical responses to exercise-induced forces. The microscale effects of pulsatile blood flow caused by physical exertion are accurately captured by the proposed model, which combines classical beam and tube theories with the size-dependent modified couple stress theory. The governing equations are solved using a rigorous numerical framework, allowing for detailed analysis of stress-strain distributions, wall shear stress, and vascular deformation across a wide range of hemodynamic conditions. The results show that exercise-induced shear stresses and pressure variations help to strengthen vascular walls, emphasizing sports’ critical role in improving vascular resilience. This study combines sports physiology and biomechanical engineering to provide a predictive framework for assessing athletic training-induced vascular adaptations. By emphasizing the importance of exercise in cardiovascular health, the study provides valuable insights for optimizing training regimens and developing targeted rehabilitation strategies. This interdisciplinary approach improves our understanding of hemodynamic behavior in physically active people, paving the way for novel applications in sports medicine and vascular health management. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The activity and technique principle of football shooting are investigated from the viewpoint of nano-bio-mechanics(2025-03-18); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, On propagation analysis of flexural waves in functionally graded poroelastic biocomposite higher-order beams(Springer Science and Business Media LLC, 2025-05-29); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Towards a circular economy: Harnessing bacteria for sustainable plastic waste degradationThe increasing prevalence of plastic pollution poses a significant environmental challenge, necessitating innovative and sustainable approaches to waste management. In this research the biodegradation potential of two prominent bacterial genera, Pseudomonas and Bacillus. These have demonstrated remarkable capabilities in degrading various plastic polymers, including LDPE, HDPE, PP, PET, and PLA. Both genera exhibit a broad substrate range and employ diverse enzymatic mechanisms, such as lipases, hydrolases, and laccases, to facilitate plastic breakdown. While strain specificity is crucial in degradation efficiency, studies indicate synergistic interactions in mixed-culture consortia can enhance overall degradation rates. Despite the promising advancements in bacterial plastic degradation, challenges remain, including variability in degradation rates and the need for standardized testing protocols. Future research should focus on identifying high-performing strains, characterizing their enzymatic profiles, and optimizing environmental conditions to improve biodegradation outcomes. By harnessing the natural capabilities of bacteria, this work highlights the potential for developing effective bioremediation strategies that contribute to a circular economy and address the pressing issue of plastic waste. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Delamination, frequency, and bending analysis of GPLRC curved panel with initial crack via machine learning and three-dimensional layerwise theoryIn the present study, the thermal stability of graphene-reinforced composite laminates (GPL-RC) with diverse functional gradients and width delamination layers is examined. In this regard, various models of laminated GPL-RC are considered with different geometrical and material parameters. Utilizing the physics-informed neural networks (PINN), we calculate the energy release rate (ERR) at the cleavage boundary, aiming to gauge cleavage growth potential. This study also delves effects of various graphene reinforcement distributions and delamination configurations on the vibrational attributes of delaminated GPL-RC sheets, with an emphasis on pre/post heat bending modalities. Solutions are grounded in the third-order shear strain theory (TSDT), integrating von Karman geometric nonlinearity. Using the principle of minimal potential energy, the nonlinear equilibrium equations are tackled using PINN. Theoretical insights obtained are verified via a comparison to other published studies. Notably, parametric experiments indicate that the ERR in the FGX configuration in which most reinforcement material located adjacent to the upper and lower surfaces of the plate, is double that of the FGA, in which most reinforcement material adjacent to the lower surface of the plate. Moreover, while the FGX sheet's fundamental frequency surpasses other graphene configurations at the primary temperature, its natural frequency in the post-buckling modality is notably the least compared to the entire sample set. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Stability analysis of nano-devices: Exercise-mediated effects on nanodevice stability in drug delivery applications(2025-05-25); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Exercise-induced changes in protein tissue stability in athletes via biomechanical analysis using size-dependent mechanical models(2025-05-25); Brahmia, AmeniProtein stability has been recognized as a critical factor influencing athletic performance, recovery, and injury prevention during physical exercise. Despite widespread recognition, the mechanisms by which exercise influences the stability of protein tissues and fibers remain incompletely understood. This study uses complex mechanical theories and numerical simulations to investigate how exercise impacts protein stability. Size-dependent mechanical models are employed to analyze the small-scale behavior of protein tissues under exercise-induced stress, including strain rate, tissue microstructure, and exercise intensity. Numerical approaches are used to simulate proteins’ dynamic behavior, offering insights into their deformation and failure processes under a wide range of situations. The results demonstrate that exercise substantially influences protein stability, with significant variations depending on the kind and intensity of the physical activity. These findings provide novel insights into the importance of protein stability in athletic performance and recovery, highlighting practical implications for training optimization, injury prevention, and broader applications in sports science. This study emphasizes the importance of protein stability for exercise and athletic performance by integrating biomechanics and sports science. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Wave responses in seismic FGM concrete nanobeam using deep neural network(2025-06-25); Mohamed Hechmi El OuniIn the current study, we investigate the vibration of a nano-scale beam structure composed of bi-directionally functionally graded concrete. We employ a dual approach, combining mathematical structural modeling with deep neural network analysis, to determine the natural frequency of the nanobeam. The concrete is assumed to be graded along the beam’s axis and transverse direction, following a power-law model. We utilize Timoshenko beam theory (TBT) and nonlocal stress-strain gradient relations to describe the nanobeam’s displacement field. Hamilton’s principle is used to account for external forces and boundary conditions. A deep neural network is trained to predict the natural frequency with varying error margins. The governing equations are solved using the differential quadrature numerical method, and the results are validated against existing literature. This work introduces novelties in three key areas: 1) a model for bi-FG concrete nanobeams under in-plane loading, 2). - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Static responses for Graphene nanoplatlet reinforced aerobic sport plate(2025-06-25); Albaijan, IbrahimThis work applies a detailed shear deformable based kinematic modeling of a graphene origami reinforced nanocomposite aerobic sport plate subjected to thermal and mechanical loading. The proposed model is application for analysis of the reinforced aerobic sport plate. The analytical bending analysis was performed using the virtual work principle. The behavioral relations were extended using the overall material properties derived from the previously developed relations of the experimental and statistical studies. The nanocomposite aerobic sport was composed of a copper matrix reinforced with graphene origami as a novel reinforcement. The overall material properties were developed with changes of thermal loads, volume fraction and folding parameter of aerobic sport plate. The numerical results were derived using the analytical works in terms of the significant import parameters. An increase in the displacements is observed with an increase in the thermal loads and folding parameter as well as decrease in volume fraction. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Mechanical Performance of Auxetic Rotational Polygons Metamaterials Based on Simple Rectangular-Shaped Parts: Experimental Validation and FEA Modeling(World Scientific Pub Co Pte Ltd, 2025-07-19)
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