ZEMİNLERİN KIVAM VE KOMPAKSİYON ÖZELLİKLERİNİN TAHMİNİNDE RASTGELE ORMAN REGRESYONU YÖNTEMİNİN UYGULANABİLİRLİĞİ

Year 2021, Volume: 9 Issue: 1, 265 - 281, 30.03.2021

Said Enes Nuray Hazal Berrak Gençdal Zülal Akbay Arama

https://doi.org/10.21923/jesd.804446

Cited By: 2

Abstract

Bu makalede, yüksek plastisiteli kil zeminlerin kıvam limitleri ve kompaksiyon karakteristikleri arasındaki ilişki basit regresyon ve karar ağaçları tabanlı Rastgele Orman regresyon (RO) yöntemlerinin karşılaştırmalı olarak analiz edilmesi yoluyla irdelenmiştir. Zeminlerin kompaksiyon parametrelerini oluşturan maksimum kuru birim hacim ağırlık ve optimum su muhtevası değerlerinin doğrudan belirlenmesinde kullanılan standart laboratuvar deneylerin zorluğu ve uzun numune hazırlama-bekleme süreçleri içermesi nedeni ile göreceli olarak daha pratik deneyler kullanılarak bu parametrelerin tahmin edilmesi günümüzde sıklıkla uygulanılan bir yöntemdir. Ayrıca, kıvam limiti deneylerinden likit limit, tüm geoteknik mühendisliği tasarımlarında uygulanan ve tatminkar sonuçlar veren bir deneydir. Bu çalışmada, yüksek plastisiteli kil zeminlere ait literatürde sunulan 387 adet kıvam limiti ve 59 kompaksiyon-kıvam limiti test çiftinin kullanılması ile oluşturulan bir veri tabanı kullanılarak iki aşamalı bir tahmin süreci yürütülmüştür. Birinci aşamada plastisite indisinin doğrudan likit limit değerinden, ikinci aşamada ise kompaksiyon parametrelerinin plastisite indisinden tahmin olasılığı araştırılmıştır. Aynı zamanda, laboratuvar deneylerinden elde edilen gerçek verilerin tutarsızlık durumları ve bu verilerin belirli bir eğilim izlememesi sebebi ile genel regresyon çalışmalarında oluşan doğruluk oranı düşüklüğüne dikkat çekilerek, bu doğruluk oranlarının Rastgele Orman regresyonu yöntemi ile nasıl yükseltilebileceği de incelenmektedir. Sonuçlarda, Rastgele Orman regresyonu yönteminin yüksek plastisiteli kil zeminlerin kıvam ve kompaksiyon özelliklerinin tahmininde başarılı olduğu ve kullanılabilir nitelikte sonuçlar sunduğu gösterilmektedir.

Keywords

Likit limit, Kompaksiyon, Kil Zeminler, Rastgele Orman Regresyonu, Karar Ağaçları, Regresyon Yöntemi

Supporting Institution

İstanbul Üniversitesi-Cerrahpaşa

Project Number

BYP-2020-34856 ve FBA-2020-34051

Thanks

Bu çalışma, İstanbul Üniversitesi-Cerrahpaşa Bilimsel Araştırma Projeleri Birimi tarafından BYP-2020-34856 ve FBA-2020-34051 projeleri ile desteklenmektedir.

THE APPLICABILITY OF RANDOM FOREST REGRESSION METHOD FOR THE PREDICTION OF THE CONSISTENCY AND COMPACTION PROPERTIES OF SOILS

Abstract

Within this paper, the relationship between consistency limits and compaction characteristics of highly plastic clay soils was examined by comparative analysis of regression and Random Forest regression methods. Due to the difficulty of standard laboratory experiments that have long sample preparation-waiting processes, which are used to directly obtain the maximum dry unit weight and optimum water content values representing the compaction parameters of soils, it is relatively more applicable to estimate these parameters by the use of practical experiments is a method that is frequently applied today. In addition, the liquid limit, one of the consistency limit tests, is an experiment that is applied in all geotechnical engineering designs and gives satisfactory results. In this study, a two-stage estimation process was carried out by using a database created by using 387 consistency limit and 59 compaction-consistency limit test couples presented in the literature studies of high plasticity clay soils. In the first stage, the estimation of the plasticity index directly from the liquid limit, in the second stage, the probability of estimating the compaction parameters from the plasticity index was investigated. At the same time, this study is focused on the inconsistency of the real data obtained directly from the laboratory experiments and the low accuracy rate that occurs in the general regression studies due to the fact that these data do not follow a certain trend. It is also examined how these accuracy rates can be increased by the Random Forest regression method. Consequently, it is shown that the Random Forest regression method can be used for the estimation of the consistency and compaction properties of highly plastic clayey soils, and gives satisfactory results to use.

Keywords

Liquid Limit, Compaction, Clay Soils, Random Forest Regression, Decision Trees, Regression method

Project Number

BYP-2020-34856 ve FBA-2020-34051

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