Smart Structures and Systems

  • 제33권5호
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  • Pages.333-347
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  • 2024
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Deflection aware smart structures by artificial intelligence algorithm

  • Qingyun Gao (FAIR FRIEND Institute of Intelligent Manufacturing, Hangzhou Vocational & Technical College) ;
  • Yun Wang (FAIR FRIEND Institute of Intelligent Manufacturing, Hangzhou Vocational & Technical College) ;
  • Zhimin Zhou (FAIR FRIEND Institute of Intelligent Manufacturing, Hangzhou Vocational & Technical College) ;
  • Khalid A. Alnowibet (Statistics and Operations Research Department, College of Science, King Saud University)
  • 투고 : 2023.06.12
  • 심사 : 2024.05.11
  • 발행 : 2024.05.25
⟨ 이전 논문 다음 논문 ⟩

초록

There has been an increasing interest in the construction of smart buildings that can actively monitor and react to their surroundings. The capacity of these intelligent structures to precisely predict and respond to deflection is a crucial feature that guarantees both their structural soundness and efficiency. Conventional techniques for determining deflection often depend on intricate mathematical models and computational simulations, which may be time- and resource-consuming. Artificial intelligence (AI) algorithms have become a potent tool for anticipating and controlling deflection in intelligent structures in response to these difficulties. The term "deflection-aware smart structures" in this sense refers to constructions that have AI algorithms installed that continually monitor and analyses deflection data in order to proactively detect any problems and take appropriate action. These structures anticipate deflection across a range of operating circumstances and environmental factors by using cutting-edge AI approaches including deep learning, reinforcement learning, and neural networks. AI systems are able to predict real-time deflection with high accuracy by using data from embedded sensors and actuators. This capability enables the systems to identify intricate patterns and linkages. Intelligent buildings have the potential to self-correct in order to reduce deflection and maximize performance. In conclusion, the development of deflection-aware smart structures is a major stride forward for structural engineering and has enormous potential to enhance the performance, safety, and dependability of designed systems in a variety of industries.

키워드

과제정보

The authors extend their appreciation to King Saud University, Saudi Arabia for funding this work through Researchers Supporting Project number (RSP2024R305), King Saud University, Riyadh, Saudi Arabia.

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