M. Majdi; A. Uromiehi; M. R. Nikudel
Abstract
In this study, the effect of nanokaolinite particles on geotechnical properties of clayey soils is investigated. The mechanical method of Planetary Ball Mill was used for production of nanoparticles. For this, initial kaolinite powders was milled in Planetary Ball Mill for 10 hours with speed of 500 ...
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In this study, the effect of nanokaolinite particles on geotechnical properties of clayey soils is investigated. The mechanical method of Planetary Ball Mill was used for production of nanoparticles. For this, initial kaolinite powders was milled in Planetary Ball Mill for 10 hours with speed of 500 Rpm of machine. Output powder was in nanometer scale that images produced from FESEM verified this. Then, nanoparticles were mixed with clayey soil (CL) in different weight ratio of dry soil and change percentage of geotechnical properties of treated soils was investigated by compaction, direct shear and cassagrande tests and optimum percentage of added nanokaolinite was determined. Results showed that LL and PL of soil increased while percentage of added nanoparticles increased but since increasing of PL is larger than LL, thus PI is decreased that it is favour for geotechnical engineering for construction. Also with attention to results of compaction tests, density of clayey soil was increased with adding of nanoparticles to an optimum quantity and after it decreased. It is determined from direct shear tests that cohesion of clayey soils increased with adding of nanoparticles to optimum quantity and after it is changeless approximately. Results of XRD and XRF tests showed that chemical integition of nanoparticles produced from planetary ball mill is similar to initial powder and not change.
M Hashemi; R Ajalloeian; M.R Nikoudel
Abstract
In the present study, erodibility of various deposits of Sefidrud Delta was evaluated based on effective engineering geological factors. First of all, the study area was studied from geology and sedimentology point of view and various deposits were identified in this area. Then ...
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In the present study, erodibility of various deposits of Sefidrud Delta was evaluated based on effective engineering geological factors. First of all, the study area was studied from geology and sedimentology point of view and various deposits were identified in this area. Then the engineering geological characteristics of deposits were determined based on existing geotechnical data, field investigation and performance of 32 dynamic cone penetrometer test (DCP). Finally, by development a simple and precise method, the erodibility of various deposits was evaluated based on texture and shear strength factors.
The results show that the erodibility of deposits has a close relationship to the sedimentological characteristics and erodibility could be analyzed regarding the geological history of deposits. According to the results of this research, natural levee deposits have highest erodibility and in other hand old deltaic deposits have lowest erodibility in Sefidrud Delta area. Such researches have a main role in sustainable development of the study area.
J Sharifi; M.R Nikudel
Abstract
By fast growing of structures and need for aggregates materials, more quarry resources should be provided and rapid identification and exploration of these resources should be introduced. Because of the importance of engineering geology parameters in exploration of aggregate quarries sources, based to ...
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By fast growing of structures and need for aggregates materials, more quarry resources should be provided and rapid identification and exploration of these resources should be introduced. Because of the importance of engineering geology parameters in exploration of aggregate quarries sources, based to in-situ and laboratory studies in this research, the parameters and criteria were determined and the results are presented as a simple applicable criterion. For this purpose, first site investigation was carried out and then samples and specimens from different selected mines were taken. Laboratory tests were carried out in accordance with relevant standards, and finally concrete samples were prepared using these materials. The results of tests on aggregates and concrete have been analyzed, and parameters involved in the quality of the concrete were classified and presented as a criterion. According to accuracy and ease application of this criterion, it is applicable for selecting the materials with minimum experiments, the desirable mines identification and an estimate of the ultimate strength of concrete will be provided for the engineers. The criteria according to type and kinds of the samples, is applicable with a broad scope in different geographical areas.
A Jamshidi; M.R Nikudel; M Khamehchiyan
Abstract
In cold regions, freeze-thaw cycles are one of the most important agents affecting on the mechanical properties of stones and consequently their durability. Uniaxial compressive strength, Brazilian tensile strength and P-Wave velocity are among important mechanical properties in assessing the durability ...
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In cold regions, freeze-thaw cycles are one of the most important agents affecting on the mechanical properties of stones and consequently their durability. Uniaxial compressive strength, Brazilian tensile strength and P-Wave velocity are among important mechanical properties in assessing the durability of the stones used in cold regions. As regards of determination these properties during the freeze-thaw cycles experiment is very time consuming and cumbersome, statistical relationships can be used to estimate the mechanical properties. In this study, a multivariate statistical model is presented for 15 samples of travertine, which can estimate uniaxial compressive strength, Brazilian tensile strength and P-Wave velocity in each cycle of the freeze-thaw experiment. In this model, mechanical properties after freeze-thaw cycles were considered to be the dependent variable that dependent on the variables of the initial mechanical properties, water absorption and the number of freeze-thaw cycle. The statistical tests results and also data from other researchers show that model presented is reasonably accurate in estimating uniaxial compressive strength, Brazilian tensile strength, P-Wave velocity and consequently their durability of the travertines in each cycle of the freeze-thaw experiment.
M Kianpour; M Sayari; A Uromeihy; M.R Nikudel
Abstract
Shear strength is one of the most important properties of mudrocks and shales in rock engineering and engineering geology. Because of the difficulty to obtain undisturbed samples of shales as required for determination of shear strength parameters, it is also the most difficult to evaluate. This research ...
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Shear strength is one of the most important properties of mudrocks and shales in rock engineering and engineering geology. Because of the difficulty to obtain undisturbed samples of shales as required for determination of shear strength parameters, it is also the most difficult to evaluate. This research investigated properties that can be used to predict the shear strength parameters of Shemshak formation shales. Thirty samples of shales from various depths were collected from boreholes in Shemshak formation in the site of Siahbishe pumped storage powerhouse. Shear strength parameters (c and ϕ), tensile strength (TS), quartz percent (Qz %), porosity (n) and density (ρ) were determined in lab for each sample. Data were analyzed statistically and with fuzzy inference system to determine the relationships between shear strength parameters with other properties. Results show that cohesion and friction angle of shales can be meaningfully predicted from a few engineering properties by fuzzy inference system. The adjusted R2 values between measured and predicted values for cohesion and friction angle are 0.95 and 0.84 respectively. Also the variation of regression coefficient (R2), performance indices (VAF) and root mean square error (RMSE) with were calculated as for the shear strength parameters, obtained from the multiple regression modeland the fuzzyinference system, revealed that the prediction performance and accuracy of the fuzzy models are high and multiple regression equations not have performance in prediction of shear strength parameters of shales.
