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Title:Prediction of the compaction parameters for coarse-grained soils with fines content by MLA and GEP
Authors:ID Sivrikaya, Osman (Author)
ID Kayadelen, Cafer (Author)
ID Cecen, Emre (Author)
ID Fakulteta za gradbeništvo, prometno inženirstvo in arhitekturo Univerze v Mariboru (Copyright holder)
Files:.pdf Acta_geotechnica_Slovenica_2013_Sivrikaya,_Kayadelen,_Cecen_Prediction_of_the_compaction_parameters_for_coarse-grained_soils_with_fines.pdf (360,65 KB)
MD5: C0DD0DE7AE1CDD85217A9E5AA820D958
PID: 20.500.12556/dkum/41ce9173-7228-4fb5-b4de-392ec0ff25f8
 
URL http://fgserver3.fg.um.si/journal-ags/2013-2/article-3.asp
 
Language:English
Work type:Scientific work
Typology:1.01 - Original Scientific Article
Organization:FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
Abstract:The determination of the compaction parameters of soils, the maximum dry unit weight (γdmax) and the optimum water content (wopt), at various compaction energy (E) levels is an important process. The aim of this study is to develop correlations in order to estimate the compaction parameters dependent on the compaction energy for coarse-grained soils with various fines contents on which limited studies exist in the literature. Genetic Expression Programming (GEP) and Multi Linear Regression (MLR) analyses are used in the derivation of the correlations for the prediction of γdmax and wopt obtained from Standard Proctor (SP) and Modified Proctor (MP) tests with the index properties of coarse-grained soils with various fines contents. To develop the models, a total of 86 data sets collected from university laboratories in Turkey and six parameters, such as gravel content (G %), sand content (S %), fines content (FC %), liquid limit (wL %) and plasticity index (IP %) of fines content and compaction energy (E Joule), are used. The performance of the models is comprehensively examined using several statistical verification tools. The results revealed that the GEP and MLR models are fairly promising approaches for the prediction of the maximum dry unit weight and the optimum water content of cohesionless soils with various fines contents at SP and MP compaction energy levels. The proposed correlations are reasonable ways to estimate the compaction parameters for the preliminary design of a project where there are financial and time limitations.
Keywords:coarse-grained soils, compaction, MLR, GEP
Publication status:Published
Publication version:Version of Record
Year of publishing:2013
Number of pages:str. 29-41
Numbering:Letn. 10, št. 2
PID:20.500.12556/DKUM-70805 New window
ISSN:1854-0171
UDC:624.138:519.233
ISSN on article:1854-0171
COBISS.SI-ID:277756416 New window
NUK URN:URN:SI:UM:DK:9YSMWGDM
Copyright:Fakulteta za gradbeništvo, prometno inženirstvo in arhitekturo Univerze v Mariboru
Publication date in DKUM:14.06.2018
Views:845
Downloads:72
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Categories:Misc.
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Record is a part of a journal

Title:Acta geotechnica Slovenica
Shortened title:Acta geotech. Slov.
Publisher:Fakulteta za gradbeništvo, prometno inženirstvo in arhitekturo Univerze v Mariboru
ISSN:1854-0171
COBISS.SI-ID:215987712 New window

Secondary language

Language:Slovenian
Title:Napoved parametrov komprimiranja grobo zrnatih zemljin z vsebnostjo drobnih delcev z uporabo MLR in GEP
Abstract:Določitev parametrov komprimiranja zemljin, največje suhe prostorninske mase (γdmax) in optimalne vlažnosti (wopt) pri različni energiji stiskanja (E) je pomemben proces. Cilj te študije je razviti korelacije za ocenitev parametrov komprimacije v odvisnosti od energije stiskanja grobo zrnatih zemljin z različno vsebino drobnih delcev, o čemer obstaja v literaturi le malo študij. Za izpeljavo korelacij za napovedovanje γdmax in wopt, ki so pridobljeni s standardnimi (SP) in modificiranimi (MP) Proctorjevimi preizkusi z indeksnimi lastnostmi grobo zrnatih zemljin z različno vsebnostjo drobnih delcev, sta uporabljeni genetsko programiranje (GEP) in multi-linearna regresivna analiza (MLR). Za razvoj modelov je uporabljenih 86 nizov podatkov, ki so dobiljeni v univerzitetnih laboratorijih v Turčiji, in šest parametrov, kot so vsebnost gramoza (G %), vsebnosti peska (S %), vsebnost drobnih delcev (FC %), mejo židkosti (wL %) in indeks plastičnosti (IP %) finih delcev ter energijo stiskanja (E Joule). Uspešnost modelov je temeljito preučena z različnimi statističnimi orodji za preverjanje. Rezultati so pokazali, da so modeli GEP in MLR precej uporabni za napovedovanje največje suhe prostorninske mase in optimalne vlažnosti nekoherentnih zemljin z različno vsebnostjo drobnih delcev pri energiji stiskanja s SP in MP. Predlagane korelacije so dober način za ocenitev parametrov stiskanja, ko načrtujemo projekte, ki so finančno in časovno omejeni.
Keywords:geomehanika, komprimiranje, grobe zemljine, genetsko programiranje, multi-linearna regresivna analiza, grobo zrnata zemljina, komprimacija, MLR, GEP


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  1. Acta geotechnica Slovenica

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