Steel and Composite Structures

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Supply chain management and artificial intelligence improve the microstructure and economic evaluation of composite materials

  • Xiaopeng Yang (School of Economics and Management, WeiFang University) ;
  • Minghai Li (Xi'an University of Architecture & Technology)
  • Received : 2021.11.26
  • Accepted : 2024.03.21
  • Published : 2024.04.10
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Abstract

In the current study, we aim to evaluate both microstructural characteristics and economic benefits of composite structures from supply chain utilizing AI-based method. In this regard, the various aspects of microstructure of composite materials along with the features of supply chain are discussed and quantified. In addition, the final economic aspects of the composite materials and are also presented. Based on available data, a designed artificial neural network is utilized for prediction of both microstructure and economical feature of the composite material. The results indicate that the supply chain could affect the microstructure of final composite materials which in turn make changes in the mechanical properties and durability of composite materials.

Keywords

Acknowledgement

This work was supported by Key Funding Project of Green Development Research Fund of Higher Education Ministry: Research on Intelligent Energy Conservation Strategy Based on Big Data (Educational Development 2016-07).

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