Yıl 2018, Cilt 14, Sayı 4, Sayfalar 443 - 447 2018-12-28

Regression Analysis of Soil Compaction Parameters Using Support Vector Method

Osman Günaydın [1] , Abdurrahman Özbeyaz [2] , Mehmet Söylemez [3]

5 40

Some challenging studies are experimentally applied for characterizing parameters in Proctor compaction tests. Compression of a fill is mechanically done in Compaction process. Compaction is a physical process which gets the soil into a dense state. Improving the shear strength and decreasing the compressibility and permeability of the soil can be done with this physical process. Support Vector Machine (SVM) is a popular method due to its performance today. This method is commonly employed in the regression analysis as well as being used in the classification process. In this study, SVM was employed to predict of compaction parameters (maximum dry unit weight and optimum moisture content) without making any experiments in a soil laboratory. In the study, more than a hundred compaction data collected from the small dams in central Anatolia region was employed. In the study, R errors are satisfied (0.92 and 0.89) for SVM models. Consequently, the proposed regression analysis with SVM is useful for model design of the projects in where there are limitations as financial and temporal.

Compaction, Maximum Dry Weight, Optimum Moisture Content, SVM, Regression
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Birincil Dil en
Konular Mühendislik
Yayımlanma Tarihi 31-12-2018
Dergi Bölümü Makaleler
Yazarlar

Yazar: Osman Günaydın
Kurum: ADIYAMAN ÜNİVERSİTESİ
Ülke: Turkey


Orcid: 0000-0002-2724-190X
Yazar: Abdurrahman Özbeyaz (Sorumlu Yazar)
Kurum: ADIYAMAN ÜNİVERSİTESİ
Ülke: Turkey


Yazar: Mehmet Söylemez
Kurum: ADIYAMAN ÜNİVERSİTESİ
Ülke: Turkey


Bibtex @araştırma makalesi { cbayarfbe449644, journal = {Celal Bayar Üniversitesi Fen Bilimleri Dergisi}, issn = {1305-130X}, eissn = {1305-1385}, address = {Celal Bayar Üniversitesi}, year = {2018}, volume = {14}, pages = {443 - 447}, doi = {10.18466/cbayarfbe.449644}, title = {Regression Analysis of Soil Compaction Parameters Using Support Vector Method}, key = {cite}, author = {Günaydın, Osman and Söylemez, Mehmet and Özbeyaz, Abdurrahman} }
APA Günaydın, O , Özbeyaz, A , Söylemez, M . (2018). Regression Analysis of Soil Compaction Parameters Using Support Vector Method. Celal Bayar Üniversitesi Fen Bilimleri Dergisi, 14 (4), 443-447. DOI: 10.18466/cbayarfbe.449644
MLA Günaydın, O , Özbeyaz, A , Söylemez, M . "Regression Analysis of Soil Compaction Parameters Using Support Vector Method". Celal Bayar Üniversitesi Fen Bilimleri Dergisi 14 (2018): 443-447 <http://dergipark.gov.tr/cbayarfbe/issue/41718/449644>
Chicago Günaydın, O , Özbeyaz, A , Söylemez, M . "Regression Analysis of Soil Compaction Parameters Using Support Vector Method". Celal Bayar Üniversitesi Fen Bilimleri Dergisi 14 (2018): 443-447
RIS TY - JOUR T1 - Regression Analysis of Soil Compaction Parameters Using Support Vector Method AU - Osman Günaydın , Abdurrahman Özbeyaz , Mehmet Söylemez Y1 - 2018 PY - 2018 N1 - doi: 10.18466/cbayarfbe.449644 DO - 10.18466/cbayarfbe.449644 T2 - Celal Bayar Üniversitesi Fen Bilimleri Dergisi JF - Journal JO - JOR SP - 443 EP - 447 VL - 14 IS - 4 SN - 1305-130X-1305-1385 M3 - doi: 10.18466/cbayarfbe.449644 UR - http://dx.doi.org/10.18466/cbayarfbe.449644 Y2 - 2018 ER -
EndNote %0 Celal Bayar Üniversitesi Fen Bilimleri Dergisi Regression Analysis of Soil Compaction Parameters Using Support Vector Method %A Osman Günaydın , Abdurrahman Özbeyaz , Mehmet Söylemez %T Regression Analysis of Soil Compaction Parameters Using Support Vector Method %D 2018 %J Celal Bayar Üniversitesi Fen Bilimleri Dergisi %P 1305-130X-1305-1385 %V 14 %N 4 %R doi: 10.18466/cbayarfbe.449644 %U 10.18466/cbayarfbe.449644
ISNAD Günaydın, Osman , Özbeyaz, Abdurrahman , Söylemez, Mehmet . "Regression Analysis of Soil Compaction Parameters Using Support Vector Method". Celal Bayar Üniversitesi Fen Bilimleri Dergisi 14 / 4 (Aralık 2018): 443-447. http://dx.doi.org/10.18466/cbayarfbe.449644