Steel and Composite Structures

  • 제53권1호
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  • Pages.115-121
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  • 2024
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  • 1229-9367(pISSN)
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  • 1598-6233(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Dynamic performance using artificial intelligence techniques and educational assessment of nanocomposite structures

  • Han Zengxia (Department of Education, Xinzhou Teachers (Normal) University) ;
  • M. Nasihatgozar (Department of Mechanical Engineering, Kashan Branch, Islamic Azad University) ;
  • X. Shen (Department of Education, Xinzhou Teachers (Normal) University)
  • 투고 : 2024.09.01
  • 심사 : 2024.10.04
  • 발행 : 2024.10.10
⟨ 이전 논문 다음 논문 ⟩

초록

The present paper deals with a comprehensive study about dynamic performance and educational economic assessment of nanocomposite structures, while it focuses on truncated conical shells. Advanced structure dynamic behavior has been analyzed by means of AI techniques, which allow one to predict and optimize their performances with good accuracy for different loading and environmental conditions. The incorporation of the AI method significantly enhances the computational efficiency and is a powerful tool in designing nanocomposites and for their structural analysis. Further, an educational assessment is provided in the context of cost and practicality related to such structures in engineering education. This study showcases the capabilities of AI-enabled methods with regard to cost reduction, improvement of structural efficiency, and enhancement of learning engagement for students through certain practical examples on state-of-the-art nanocomposite technology. The results also confirm a remarkable capability of artificial intelligence regarding the optimization of both dynamic and economic aspects, which could be highly valued for further development of nanocomposite structures.

키워드

과제정보

Shanxi Province Higher Education General Teaching Reform and Innovation Project: Practical Research on the 6C Teaching Model under the C-STEAM Concept in Teaching Methods Courses of Early Childhood Teacher Education. No J20241258.

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