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Öğe Empirical methods to predict the abrasion resistance of rock aggregates(SPRINGER HEIDELBERG, 2007) Kahraman, Sair; Gunaydin, OsmanThe possibility of predicting the Los Angeles ( L. A.) abrasion loss from the Schmidt hammer, point load and porosity tests was investigated using 9 igneous, 11 metamorphic and 15 sedimentary rocks with L. A. values ranging from 10 to 76%. Regression analysis indicated a strong correlation (r(2) = 0.72) between L. A. abrasion loss and point load and a good correlation (r(2) = 0.62) between L. A. abrasion loss and Schmidt hammer value. When the samples were divided according to porosity (n < 1% and n > 1%), stronger correlations were obtained, especially for the point load index. The predictions from the Schmidt hammer results were not as good but within acceptable limits.Öğe Geotechnical properties of tire-cohesive clayey soil mixtures as a fill material(ELSEVIER SCIENCE BV, 2006) Cetin, Hasan; Fener, Mustafa; Gunaydin, OsmanGeotechnical properties of pure fine and coarse grained tire-chips and their mixtures (10, 20, 30, 40 and 50%) with a cohesive clayey soil were investigated through a series of soil mechanical tests in order to investigate possibilities of their usage as a lightweight fill material. Grain size and Atterberg limits analysis, permeability, direct shear and compaction tests were performed on the clayey soil, tire chips (both fine and coarse) alone and their mixtures. The results indicate that the use of used tire-chips mixed with clayey soils as a fill material is possible. The mixtures up to 20% coarse grained tire-chips and 30% fine grained tire-chips can be used above ground water tables where low weight, low permeability and high strength are needed in fills such as highway embankments, bridge abutments and backfills behind retaining structures especially when they are to be built on weak foundation soils with low bearing capacity and high settlement problems. They should not be used where drainage is needed to prevent the development of pore pressures during loading of fills under saturated conditions. In these cases, they may, however, be used by mixing with high permeability material such as sand and gravel. (c) 2006 Elsevier B.V. All rights reserved.Öğe Prediction of artificial soil's unconfined compression strength test using statistical analyses and artificial neural networks(ELSEVIER SCI LTD, 2010) Gunaydin, Osman; Gokoglu, Ali; Fener, MustafaLaboratory prediction of the unconfined compression strength (UCS) of cohesive soils is important to determine the shear strength properties. However, this study presents the application of different methods simple-multiple analysis and artificial neural networks for the prediction of the UCS from basic soil properties. Regression analysis and artificial neural networks prediction indicated that there exist acceptable correlations between soil properties and unconfined compression strength. Besides, artificial neural networks showed a higher performance than traditional statistical models for predicting UCS. Regression analysis and artificial neural network prediction indicated strong correlations (R(2) = 0.71-0.97) between basic soil properties and UCS. It has been shown that the correlation equations obtained by regression analyses are found to be reliable in practical situations. (C) 2010 Elsevier Ltd. All rights reserved.Öğe Reply to the discussion by A. Sawangsuriya and D. Fratta on "Correlations between P-wave velocity and Atterberg limits of cohesive soils"(CANADIAN SCIENCE PUBLISHING, NRC RESEARCH PRESS, 2006) Fener, Mustafa; Kahraman, Sair; Bay, Yakup; Gunaydin, Osman[Abstract Not Available]
