Coupled systems mechanics

  • 제8권6호
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  • Pages.523-535
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  • 2019
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  • 2234-2184(pISSN)
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  • 2234-2192(eISSN)
테크노프레스 (Techno-Press)
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DOI QR Code

Spatial interpolation of SPT data and prediction of consolidation of clay by ANN method

  • Kim, Hyeong-Joo (Department of Civil Engineering, Kunsan National University) ;
  • Dinoy, Peter Rey T. (Department of Civil and Environmental Engineering, Kunsan National University) ;
  • Choi, Hee-Seong (Department of Civil and Environmental Engineering, Kunsan National University) ;
  • Lee, Kyoung-Bum (Department of Civil and Environmental Engineering, Kunsan National University) ;
  • Mission, Jose Leo C. (Department of Civil and Environmental Engineering, Kunsan National University)
  • 투고 : 2019.03.08
  • 심사 : 2019.11.13
  • 발행 : 2019.12.25
⟨ 이전 논문 다음 논문 ⟩

초록

Artificial Intelligence (AI) is anticipated to be the future of technology. Hence, AI has been applied in various fields over the years and its applications are expected to grow in number with the passage of time. There has been a growing need for accurate, direct, and quick prediction of geotechnical and foundation engineering models especially since the success of each project relies on numerous amounts of data. In this study, two applications of AI in the field of geotechnical and foundation engineering are presented - spatial interpolation of standard penetration test (SPT) data and prediction of consolidation of clay. SPT and soil profile data may be predicted and estimated at any location and depth at a site that has no available borehole test data using artificial intelligence techniques such as artificial neural networks (ANN) based on available geospatial information from nearby boreholes. ANN can also be used to accelerate the calculation of various theoretical methods such as the one-dimensional consolidation theory of clay with high efficiency by using lesser computation resources. The results of the study showed that ANN can be a valuable, powerful, and practical tool in providing various information that is needed in geotechnical and foundation design.

키워드

과제정보

연구 과제 주관 기관 : Korea Institute of Energy Technology Evaluation and Planning (KETEP)

This work was supported by Kunsan National University, and the Korea Institute of Energy Technology Evaluation and Planning (KETEP) and the Ministry of Trade, Industry & Energy (MOTIE) of the Republic of Korea (No. 20183010025200).

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