Multiple damage detection in laminated composite beams using automated model update

Structures, Journal Year: 2021, Volume and Issue: 34, P. 1665 - 1683

Published: Sept. 8, 2021

Language: Английский

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Electro-magneto-mechanical critical load analysis of piezoelectric/piezomagnetic sport force plates used for testing athlete performance

Mechanics of Advanced Materials and Structures, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 15

Published: Oct. 16, 2024

Electro-magneto-thermo-mechanical critical loads of a sandwich microplate composed core integrated with piezoelectric/piezomagnetic face-sheets are analyzed in this paper based on higher order shear and normal deformation theory modified couple stress theory. The constitutive relations developed generalized Hooke's law electromagnetic relations. In to measure athletic performance his/her quantitatively or qualitatively grades, force plate is used. thickness stretching the sport plates accounted new function displacement field. electric magnetic potentials assumed as summation linear including applied electric/magnetic potential two functions for satisfying zero condition at top bottom plates.

Language: Английский

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On the Propagation of Bulk Waves in Functionally Graded Beams with Consideration for Imperfection

Physical Mesomechanics, Journal Year: 2025, Volume and Issue: 28(1), P. 134 - 144

Published: Feb. 1, 2025

Language: Английский

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Machine learning-assisted investigation on nonlinear vibration analysis of bio-inspired auxetic tubes

International Journal of Structural Integrity, Journal Year: 2025, Volume and Issue: unknown

Published: April 20, 2025

Purpose Auxetic tubular structures with negative Poisson’s ratios have gained significant attention in biomedical applications, particularly vascular and esophageal stents, due to their potential reduce embolism risks. This study aims investigate the nonlinear vibration characteristics of such develop accurate predictive models using machine learning (ML) techniques. Design/methodology/approach The governing equations auxetic tubes are derived Hamilton’s principle von-Kármán’s assumptions, while Malek-Gibson relations determine effective mechanical properties. behavior polylactic acid (PLA) is experimentally analyzed through tensile testing digital image correlation (DIC) additional insights from scanning electron microscopy. solved via Ritz method, vibrational assessed direct displacement control approach. Predictive modeling performed six ML algorithms – CatBoost, decision tree, random forest, gradient boosting extreme (XGBoost) support vector regression (SVR) along an artificial neural network (ANN). Response surface methodology employed optimize effects edge supports, radius cell geometry on behavior. Findings results demonstrate a strong agreement between ML/ANN predictions analytical confirming reliability developed models. analysis reveals that variations significantly influence response structures. optimized configurations enhance structural performance, making these metastructures highly suitable for applications. Originality/value uniquely integrates modeling, experimental ML-based comprehensively assess metastructures. findings provide valuable design next-generation improving performance expanding

Language: Английский

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Delamination, frequency, and bending analysis of GPLRC curved panel with initial crack via machine learning and Three-dimensional layerwise theory

Thin-Walled Structures, Journal Year: 2025, Volume and Issue: unknown, P. 113503 - 113503

Published: May 1, 2025

Language: Английский

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