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  Published Paper Details:

  Paper Title

DELVE IN THE NEW ERA: ARTIFICIAL INTELLIGENCE IN STRUCTURAL ENGINEERING

  Authors

  KAILAS G NATH

  Keywords

Key Words: structural engineering, artificial intelligence, machine learning, pattern recognition, deep learning, structural maintenance

  Abstract


Abstract: Artificial Intelligence (AI) is that branch of computer science that develops machines and software with humanlike intelligence. Artificial Intelligence proves to be the most promising path to more efficient practices in civil engineering. AI can be successfully implemented as a vital game changer in the field of Structural engineering to determine engineering design parameters when testing is not possible. Even with the vast range of adaptability that AI possesses, it is never, at least in the near future that AI is to be considered to perpetually replace human involvement as it can never account for the rationality that is purely human in possession. On the contrary, the essence of it is to be touchwood to assist and help in the field of structural engineering to expand their workflow. The complex and deep-learning algorithms possessed by modern AI systems provide clear cut platforms to the engineers and is something to be put resources into.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2205131

  Paper ID - 219370

  Page Number(s) - b297-b303

  Pubished in - Volume 10 | Issue 5 | May 2022

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  KAILAS G NATH,   "DELVE IN THE NEW ERA: ARTIFICIAL INTELLIGENCE IN STRUCTURAL ENGINEERING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 5, pp.b297-b303, May 2022, Available at :http://www.ijcrt.org/papers/IJCRT2205131.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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