DOI QR코드

DOI QR Code

Simulations and demonstrations of molecular dynamics results in a nonlinear fuzzy system

  • C.C. Hung (School of Big Data, Fuzhou University of International Studies and Trade) ;
  • Huang Huandi (School of Business, Macau University of Science and Technology) ;
  • T. Nguyen (Ha Tinh University) ;
  • C.Y. Hsieh (National Pingtung University Education School)
  • 투고 : 2024.02.23
  • 심사 : 2025.01.20
  • 발행 : 2025.04.25

초록

This research explores the application of computational continuum modeling to analyze both the dynamic and static stability of cantilever nano-scale systems. As nano-scale systems become increasingly prevalent in various engineering and technological applications, understanding their stability under different conditions is critical. The study employs advanced computational techniques to simulate the behavior of cantilever structures at the nano-scale, focusing on the effects of material properties, geometric configurations, and external forces. Through a series of numerical experiments, the research identifies key factors influencing stability, providing insights into the thresholds of dynamic and static responses. The findings highlight the importance of precise modeling in predicting failure modes and optimizing design parameters for enhanced stability. Ultimately, this work contributes to the broader field of nano-engineering by offering a robust framework for evaluating the performance of cantilever systems, paving the way for future innovations in nano-technology and materials science.

키워드

참고문헌

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  43. Chen, C.W. (2014), "Interconnected TS fuzzy technique for nonlinear time-delay structural systems", Nonlin. Dyn., 76, 13-22. https://doi.org/10.1007/s11071-013-0841-8.
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  45. Chen, C.W. (2015), "Structural system simulation and control via NN based fuzzy model", Struct. Eng. Mech., 56(3), 385-407. https://doi.org/10.12989/sem.2015.56.3.385.
  46. Chen, C.W. and Chen, C.Y. (2008), "Stability analysis for time delay TLP systems", 2008 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 1103-1107. https://doi.org/10.1109/AIM.2008.4601816.
  47. Chen, C.W. and Chen, P.C. (2010), "GA-based adaptive neural network controllers for nonlinear systems", Int. J. Innov. Comput., Inform. Control, 6(4), 1793-1803.
  48. Chen, C.W. and Tseng, C.P. (2012), "Default risk-based probabilistic decision model for risk management and control", Nat. Hazard., 63, 659-671. https://doi.org/10.1007/s11069-012-0183-8.
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  87. Chen, C.Y., Tseng, I.F., Yang, H.C.P., Chen, C.W. and Chen, T.H. (2006), "Profile evolution and energy dissipation for internal soliton transmitting over different submarine ridges", China Ocean Eng., 20(4), 585-594.
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  89. Chen, C.Y., Yang, Y.F., Chen, C.W., Chen, L.T. and Chen, T.H. (2010), "Linking the balanced scorecard (BSC) to business management performance: A preliminary concept of fit theory for navigation science and management", Int. J. Phys. Sci., 5(8), 1296-1305.
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  92. Chen, P.C., Chen, C.W. and Chiang, W.L. (2011), "Linear matrix inequality conditions of nonlinear systems by genetic algorithm-based H∞ adaptive fuzzy sliding mode controller", J. Vib. Control, 17(2), 163-173. https://doi.org/10.1177/1077546309352826.
  93. Chen, P.C., Chen, C.W., Chiang, W.L. and Lo, D.C. (2011), "GA-based decoupled adaptive FSMC for nonlinear systems by a singular perturbation scheme", Neur. Comput. Appl., 20, 517-526. https://doi.org/10.1007/s00521-011-0540-7.
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  96. Chen, T.H. and Chen, C.W. (2010), "Application of data mining to the spatial heterogeneity of foreclosed mortgages", Exp. Syst. Appl., 37(2), 993-997. https://doi.org/10.1016/j.eswa.2009.05.076.
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  99. Chen, Y., Jiang, Z., Xu, Q. and Ren, C. (2023), "Experimental study on fatigue behavior of innovative hollow composite bridge slabs", Steel Compos. Struct., 46(6), 745. https://doi.org/10.12989/scs.2023.46.6.745.
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  200. Pakizeh, M.R., Parastesh, H., Hajirasouliha, I. and Farahbod, F. (2023), "Seismic performance of CFS shear wall systems filled with polystyrene lightweight concrete: Experimental investigation and design methodology", Steel Compos. Struct., 46(4), 497. https://doi.org/10.12989/scs.2023.46.4.497.
  201. Pham, V.T., (2023), "A novel method for vehicle load detection in cable-stayed bridge using graph neural network", Steel Compos. Struct., 46(6), 731. https://doi.org/10.12989/scs.2023.46.6.731.
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  213. Song, C., (2023), "Application of computer methods for the effects of nanoparticles on the frequency of the concrete beams experimentally and numerically", Steel Compos. Struct., 48(1), 19-25. https://doi.org/10.12989/scs.2023.48.1.019.
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