Scientific Research and Essays

  • Abbreviation: Sci. Res. Essays
  • Language: English
  • ISSN: 1992-2248
  • DOI: 10.5897/SRE
  • Start Year: 2006
  • Published Articles: 2768

Full Length Research Paper

A new approach for classification of clayey soil: A case study for Adapazari region, Turkey

Fatih Goktepe1, Hasan Arman1,2* and Murat Pala3
 1Department of Civil Engineering, Sakarya University, 54187 Sakarya, Turkey. 2Department of Geology, United Arab Emirates University, P. O. Box 17551, Al-Ain, U.A.E. 3Department of Technical Programs, Gaziantep University, 79000 Kilis, Turkey.
Email: [email protected], [email protected]

  •  Accepted: 30 June 2010
  •  Published: 04 August 2010



Adapazari city is founded on very deep alluvial deposits which mainly consist of gravel, sand, silt, silty and clayey sands and clay. In this study, neural networks (NN) are used in the classification of clay samples existence in north of Adapazari. NN is a powerful data modeling tool capable of capturing and representing complex relationships between input and output. It has been used as alternative method in engineering analyses and estimations. In order to define general soil condition of Adapazari region, the NN model was trained and tested using liquid limit and plasticity index of clay samples obtained from drillings and laboratory works. By this developed of new NN model, the formula for Adapazari clays was found out and presented.


Key words: Adapazari clay’s, soil classification, plasticity card, neural networks, explicit formulation.