Prediction of consistency parameters of fen soils by neural networks

• Autorzy: Borowiec A. , Wilk K.
• Języki publikacji: EN

Abstrakty

EN

Determination of the bearing capacity of subsoil requires knowledge of the soil strength parameters. The standard way to determine the soil parameters is the use of direct research methods. In the case of less responsible buildings designed on a subsoil of simple structure it often seems reasonable to adopt basic soil parameters without performing complex analysis. Frequently, the geotechnical parameters are determined on the basis of correlation between physical and mechanical properties of the soil. This is why, it is necessary to research the relationships between different soil parameters in order to make the soil geotechnical identification faster and cheaper. This is very important for design of new structures, and, above all, it also facilitates verification of the substrate quality during execution of construction work.

Słowa kluczowe

EN

fen soil; granulation; plastic limit; liquid limit; regression; artificial neural networks

PL

gleby fen; granulacja; plastik limit; limit cieczy; regresja; sztuczne sieci neuronowe

• Wydawca: Instytut Podstawowych Problemów Techniki PAN
• Czasopismo: Computer Assisted Methods in Engineering and Science
• Rocznik: 2014
• Tom: Vol. 21, no. 1
• Strony: 67--75
• Opis fizyczny: Bibliogr. 18 poz., rys., tab., wykr.

Twórcy

autor

Borowiec A.

• Rzeszów University of Technology, Department of Structural Mechanics, Department of Geodesy and Geotechnics, Al. Powstańców Warszawy 12, 35-959 Rzeszów, Poland

autor

Wilk K.

• Rzeszów University of Technology, Department of Structural Mechanics, Department of Geodesy and Geotechnics, Al. Powstańców Warszawy 12, 35-959 Rzeszów, Poland

Bibliografia

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