The Experts below are selected from a list of 9864 Experts worldwide ranked by ideXlab platform
Mahmoud Behnia - One of the best experts on this subject based on the ideXlab platform.
-
Comparison of LLNF, ANN, and COA-ANN Techniques in Modeling the Uniaxial Compressive Strength and Static Young’s Modulus of Limestone of the Dalan Formation
Natural Resources Research, 2018Co-Authors: Maryam Mokhtari, Mahmoud BehniaAbstract:The Uniaxial Compressive Strength and static Young’s modulus are among the key design parameters typically used in geotechnical engineering projects. In this paper, three artificial intelligence techniques, namely the local linear neuro-fuzzy (LLNF) technique, artificial neural network (ANN) and the hybrid cuckoo optimization algorithm-artificial neural network (COA-ANN), were used to estimate the Uniaxial Compressive Strength and the static Young’s modulus of limestone. For this purpose, 115 limestone samples were subjected to the tests of Uniaxial Compressive Strength, ultrasonic velocity, and physical properties (density and porosity) tests. From the laboratory results obtained, the values of the P-wave velocity, density, porosity and dynamic Poisson’s ratio were tested as the model input parameters to determine the best input configuration for estimating the Uniaxial Compressive Strength and the static Young’s modulus. Different models with different input combinations were practiced, and the models with the highest estimation accuracy are reported here. Performance evaluation was carried out using three criteria including coefficient of determination, variance accounted for, and normalized mean-square error. Evaluating the correlation coefficients and error criteria resulting from the three methods used demonstrates the superiority of LLNF method to ANN and COA-ANN methods. The developed ANN models display lower correlation coefficients and higher amount of error compared to the other models. However, using cuckoo optimization algorithm has led to significant improvement in accuracy and precision of estimations carried out by ANN and has improved its efficiency. Results have confirmed that the employed hybrid method outperforms in estimating untrained data (test data) compared to the LLNF and ANN methods.
-
Predicting the Uniaxial Compressive Strength and Static Young's Modulus of Intact Sedimentary Rocks Using the Ultrasonic Test
International Journal of Geomechanics, 2009Co-Authors: Z.a. Moradian, Mahmoud BehniaAbstract:The Uniaxial Compressive Strength and static Young’s modulus ( Es ) of intact rocks are the most important geotechnical parameters for stability analysis of surface and underground structures. These parameters are obtained by the Uniaxial Compressive test. Although this test is simple, the preparation of the samples, especially of soft rocks, is a hard and time consuming task. By using a nondestructive method such as the ultrasonic test, one can indirectly predict the mentioned parameters. The Uniaxial Compressive and the ultrasonic tests were carried out on 64 samples of sedimentary rocks and, after regression analysis of the test results; best fit equations for predicting the Uniaxial Compressive Strength and static Young’s modulus of these samples are proposed. Thus, in comparison with other proposed equations, these equations have larger value of accuracy and correlation coefficient ( R2 ) . The equations are practical, simple, and accurate enough to apply and can be used in practice for the predictio...
M Reza Salami - One of the best experts on this subject based on the ideXlab platform.
-
ANALYTICAL EXPRESSIONS FOR Uniaxial TENSILE Strength OF CONCRETE IN TERMS OF Uniaxial Compressive Strength (ABRIDGMENT)
Transportation Research Record, 1992Co-Authors: M Reza SalamiAbstract:For the purpose of including reasonable values of tensile Strengths in the available failure criterion (for frictional materials with effective cohesion), it may be necessary to include the Uniaxial tensile Strength in the parameter determination. A simple expression for evaluation of the Uniaxial tensile Strength on the basis of the Uniaxial Compressive Strength is proposed. Different types of geological materials were included in the study. Also, on the basis of available experimental data on flexural and splitting tensile Strengths of concrete, simple expressions for evaluation of these Strengths as a function of Uniaxial Compressive Strength are given. The correlation between the experimental results and analytical predictions are good and provide a simple approach for developing tensile Strength models for plain concrete.
Abdelkadir Makani - One of the best experts on this subject based on the ideXlab platform.
-
Correlation between Young's Modulus and Uniaxial Compressive Strength of Aggregates
International Review of Civil Engineering (IRECE), 2014Co-Authors: Abdelkadir MakaniAbstract:This work presents a study to characterize the aggregates through their geometrical properties (size, shape and size distribution), mechanical (Uniaxial Compressive Strength and modulus of elasticity), physical (porosity, water absorption) and finally chemical and mineralogical properties. The relationships between Young's modulus and Uniaxial Compressive Strength of rocks from the Haute Garonne, France, were investigated. The relationships between these properties are described by simple regression analyzes. The results indicate an excellent correlation obtained between the modulus of elasticity and Uniaxial Compressive Strength. Additionally, the limestone presents nevertheless differences between the measured values appreciably less important. This dispersion can be correlated with the variations of the mineralogical nature of the aggregates within the same career and also with the quality of their structures and textures.
M.g. Raines - One of the best experts on this subject based on the ideXlab platform.
-
The Relationships between Effective Porosity, Uniaxial Compressive Strength and Sonic Velocity of Intact Borrowdale Volcanic Group Core Samples from Sellafield
Geotechnical and Geological Engineering, 2005Co-Authors: David Entwisle, Peter Hobbs, Lee Jones, David Gunn, M.g. RainesAbstract:The effective porosity, saturated sonic velocity and saturated Uniaxial Compressive Strength were determined on a large number of Borrowdale Volcanic Group volcaniclastic core samples from three boreholes at Sellafield, Cumbria. The work formed part of the UK Nirex Limited site investigation into whether the Sellafield area could be suitable as a repository for intermediate and low level radioactive waste. Most of the intact samples were of low to very low effective porosity, had a high sonic velocity and were very strong to extremely strong. However, a proportion of values deviated significantly from this. Bivariate analysis showed a negative relationship exists between sonic velocity and effective porosity. The cross plots of these two parameters with Uniaxial Compressive Strength showed a wide range of Strength values for samples of low effective porosity and high sonic velocity. Six failure types were identified during the Uniaxial Compressive Strength tests. The strongest samples tended to fail through the matrix and the weakest rock samples tended to fail through haematized material or along haematized veins. Effective porosity and sonic velocity measurements could not distinguish between those samples that failed through the matrix and those that failed along discrete narrow veins. The presence of narrow haematized veins has a major effect on the intact rock Strength.
Yusuf Uras - One of the best experts on this subject based on the ideXlab platform.
-
Correlation between Schmidt hardness, Uniaxial Compressive Strength and Young’s modulus for andesites, basalts and tuffs
Bulletin of Engineering Geology and the Environment, 2004Co-Authors: İsmail Dinçer, İbrahim Çobanoğlu, Altay Acar, Yusuf UrasAbstract:Volcanic rocks from the Bodrum Peninsula have been studied to establish a relationship between the Uniaxial Compressive Strength (UCS), Young’s modulus (E) and Schmidt hammer rebound number (N). Test results obtained on andesites, basalts and tuffs have been assessed statistically and the parameters obtained correlated. Regression equations were established between N, E and UCS.
-
correlation between schmidt hardness Uniaxial Compressive Strength and young s modulus for andesites basalts and tuffs
Bulletin of Engineering Geology and the Environment, 2004Co-Authors: İsmail Dinçer, İbrahim Çobanoğlu, Altay Acar, Yusuf UrasAbstract:Volcanic rocks from the Bodrum Peninsula have been studied to establish a relationship between the Uniaxial Compressive Strength (UCS), Young’s modulus (E) and Schmidt hammer rebound number (N). Test results obtained on andesites, basalts and tuffs have been assessed statistically and the parameters obtained correlated. Regression equations were established between N, E and UCS.
