Geomechanics and Engineering

  • 제1권1호
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  • Pages.75-84
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  • 2009
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  • 2005-307X(pISSN)
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  • 2092-6219(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

The use of neural networks for the prediction of swell pressure

  • Erzin, Yusuf (Department of Civil Engineering, Celal Bayar University)
  • 투고 : 2008.11.24
  • 심사 : 2009.02.04
  • 발행 : 2009.03.25
⟨ 이전 논문 다음 논문 ⟩

초록

Artificial neural networks (ANNs) are a new type of information processing system based on modeling the neural system of human brain. The prediction of swell pressures from easily determined soil properties, namely, initial dry density, initial water content, and plasticity index, have been investigated by using artificial neural networks. The results of the constant volume swell tests in oedometers, performed on statically compacted specimens of Bentonite-Kaolinite clay mixtures with varying soil properties, were trained in an ANNs program and the results were compared with the experimental values. It is observed that the experimental results coincided with ANNs results.

키워드

참고문헌

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