Harran Kili Şişme Potansiyelinin Belirlenmesinde Yapay Sinir Ağları Ve Çoklu Regresyon Modellerinin Kullanımı

Year 2008, Volume: 21 Issue: 1, 125 - 140, 30.06.2008

Murat Türköz Hasan Tosun

Abstract

Bu calısmada, Sanlıurfa Harran ovasında 33 ayrı lokasyondan elde edilen zemin orneklerinin sisme potansiyeli, farklı yontemlerle değerlendirilmistir. Standart Proctor enerji seviyesinde her bir numune icin ayrı ayrı belirlenen sıkışma eğrisi uzerinde optimum, optimumun ıslak (+%2) ve kuru yonundeki (-%2) su muhtevalarında sıkıstırılarak hazırlanan numunelerin sisme potansiyeli doğrudan deneylerle belirlenmistir. Elde edilen veriler, coklu regresyon ve yapay sinir ağları (YSA) esasında modeller olusturarak birlikte değerlendirilmistir. Sonucta, killerin sisme potansiyelinin tahmininde hem YSA hem de regresyon modellerinin oldukça etkili olduğu, ozellikle YSA modeli sonuclarının deney sonuclarına daha yakın değerler verdiği gorulmustur.

Keywords

Sisen zemin, yapay sinir ağları, çoklu regresyon.

Determination Of Swelling Potential Of Harran Clay Using Artifıcial Neural Network And Regression Models

Abstract

In this study, the values of swelling potentiall of soils obtained from

33 different locations at the Sanlıurfa and Harran plains in Turkey are estimated by

means of different methods. Swelling potential of soil samples compacted on the

optimum, wet side (+2%) and dry side (-2%) on the compaction curve at the

standard compaction effort were determined by using direct methods. The data

obtained from direct measurements were evaluated with multiple regression (MRA)

and artificial neural network (ANN) analyses. The results showed that both MRA

and ANN are very efficient in predicting clay swelling potential. Furthermore, It was

noted that the ANN is superior to MRA.

Keywords

Swelling soil, artificial neural network, multiple regression

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