20.500.12556/DKUM-70887 Prediction of California Bearing Ratio (CBR) and Compaction Characteristics of granular soil Napoved kalifornijskega indeksa nosilnosti (CBR) in lastnosti zgostitve zrnatih zemljin This research is an effort to correlate the index properties of granular soils with the California Bearing Ratio (CBR) and the compaction characteristics. Soil classification, modified proctor and CBR tests conforming to the relevant ASTM methods were performed on natural as well as composite sand samples. The laboratory test results indicated that samples used in this research lie in SW, SP and SP-SM categories based on Unified Soil Classification System and in groups A-1-b and A-3 based on the AASHTO classification system. Multiple linear regression analysis was performed on experimental data and correlations were developed to predict the CBR, maximum dry density (MDD) and optimum moisture content (OMC) in terms of the index properties of the samples. Among the various parameters, the coefficient of uniformity (Cu), the grain size corresponding to 30% passing (D30) and the mean grain size (D50) were found to be the most effective predictors. The proposed prediction models were duly validated using an independent dataset of CBR tests on sandy soils. The comparative results showed that the variation between the experimental and predicted results for CBR falls within ±4% confidence interval and that of the maximum dry density and the optimum moisture content are within ±2%. Based on the correlations developed for CBR, MDD and OMC, predictive curves are proposed for a quick estimation based on Cu , D30 and D50. The proposed models and the predictive curves for the estimation of the CBR value and the compaction characteristics would be very useful in geotechnical & pavement engineering without performing the laboratory compaction and CBR tests. V pričujoči študiji je podan poskus korelacije indeksnih lastnosti zrnatih zemljin s kalifornijskim indeksom nosilnosti (CBR) in lastnosti zgostitve. Na naravnih in kompozitnih vzorcih peskov so bile skladno z ASTM metodami izvedene klasifikacija zemljin, modificirani Proctorjev preizkus in CBR preizkus. Rezultati laboratorijskih preiskav so pokazali, da vzorci v študiji spadajo med kategorije SW, SP in SP-SM, skladno s sistemom enotne klasifikacije zemljin in v skupini A-1-b in A-3, skladno z AASHTO klasifikacijskim sistemom. Na podatkih eksperimentov je bila izvedena multipla linearna regresijska analiza in razvite korelacije za napoved CBR, maksimalne suhe gostote in optimalne vlažnosti glede na indeksne lastnosti vzorcev. Med različnimi parametri so se za napovedovanje izkazali za najboljše koeficient enakomernosti (Cu), velikost zrn pri 30 % presejku (D30) in pri 50 % presejku (D50). Predlagani modeli za napoved zgornjih lastnosti so bili potrjeni na bazi neodvisnih podatkov CBR preizkusov peščenih zemljin. Primerjalni rezultati kažejo, da je variacija med eksperimentalnimi in napovedanimi rezultati za CBR znotraj ±4 % intervala zaupanja, in za maksimalno suho gostoto ter optimalno vlažnost znotraj ±2 %. Na osnovi korelacij, razvitih za CBR, maksimalno suho gostoto in optimalno vlažnost, so predlagane napovedovalne krivulje za hitro oceno teh lastnosti na osnovi Cu, D30 in D50. Predlagani modeli in napovedovalne krivulje za oceno CBR vrednosti in lastnosti zgostitve so lahko zelo uporabni v geotehničnem inženirstvu in dimenzioniranju voziščnih konstrukcij, ne da bi izvedli laboratorijske preiskave zgostitve in CBR preizkuse. CBR regression model prediction compaction characteristics CBR regresija model napoved karakteristike zgostitve true false true Angleški jezik Slovenski jezik Fakulteta za gradbeništvo, prometno inženirstvo in arhitekturo Univerze v Mariboru Znanstveno delo 2018-06-18 10:21:09 2018-06-18 10:23:25 2023-07-31 09:36:51 2019-07-11 18:23:11 2017 0 0 str. 63-72 št. 1 Letn. 14 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 1854-0171 215987712 302986752 1854-0171 URN:SI:UM:DK:PKRK054J Acta_Geotechnica_Slovenica_2017_Rehman,_Farooq,_Mujtaba_Prediction_of_California_Bearing_Ratio_(CBR)_and_Compaction_Characteristics_of_g_unlocked.pdf Acta_Geotechnica_Slovenica_2017_Rehman,_Farooq,_Mujtaba_Prediction_of_California_Bearing_Ratio_(CBR)_and_Compaction_Characteristics_of_g_unlocked.pdf 1 37B5F10E06D7BBF3102EEEB739352ED8 7f543505bfd22282e329a8b14ff3e454a6d91f231f44a8395fe8250c363ba3b1 0c9b7662-7c10-11eb-bb7a-00155d0001ca 20.500.12556/dkum/6d54674c-553e-45d3-b484-30e17345c007 https://dk.um.si/Dokument.php?lang=slv&id=125847 http://fgserver3.fg.um.si/journal-ags/2017-1/article-6.asp 1 https://dk.um.si/Dokument.php?lang=slv&id=125846 Fakulteta za gradbeništvo, prometno inženirstvo in arhitekturo Acta geotechnica Slovenica 0 0 0