Showing 3 results for Cheshomi
Akbar Cheshomi, Ebrahim Ahamadi Sheshde,
Volume 6, Issue 1 (11-2012)
Abstract
Determination of uniaxial compressive strength (UCS) of intact rock is an important mechanical parameter required for many engineering projects. In some engineering projects, for example, well drilling has been accomplished for petroleum. The requirement of deep well to take samples to obtain rock core sample for determination of UCS is a difficult task. On the other hand, determination of this parameter is essential in order to analyze well wall stability and well development program. Therefore, the idea of using drilling cuttings is proposed for determination of UCS. In this paper, in order to develop relationship between UCS and single compressive strength (SCS) 7 block sample of microcrystalline limestone from Asmari formation were used. Then UCS test was performed and uniaxial compressive strength was determined. Next, these samples were crushed and 420 single particles were prepared. Then SCS for each particle was determined. Since the shape of particles affects particle strength, shape of particles was modified. The total particles used for determination of SCS were spherical. In order to study the effect size of particle, particles with diameters 2, 3 and 4 millimeters were prepared and the SCS for each particle has been determined. With the increase of diameter of particles, the SCS has been increased too. In order to eliminate the effect of size of particles, it is defined variable size and strength and proposed chart between them. Coefficient of correlation between SCS and UCS is more than 0.91 which indicates a high correlation between them.
E Ahmadi Sheshdeh, Akbar Cheshomi,
Volume 9, Issue 3 (12-2015)
Abstract
Measuring of uniaxial compressive strength (UCS) of intact rocks is required in many engineering projects. In deep well drilling for petroleum production or exploration drilling in deep tunnels, because of depth of wells, obtaining suitable core samples for UCS test is too expensive and sometimes impossible. Therefore, indirect methods for determine UCS (for example using rock particles) are common. One of these methods is known as indentation test. In this test an indenter that is hard penetrates into rock particle which is surrounded by resin used. In this paper, 11 microcrystalline limestone block samples from carbonate Zagros formation outcrops were prepared and UCS test in laboratory was performed. Then cores are crushed and 720 rock particle samples with 2, 3 and 4 millimeter size was prepared. Indentation test with indenter 0.6, 0.8 and 1 millimeter diameter was done and critical transitional force (CTF) for each particles was determined. Empirical equation between UCS and CTF for different samples and has been provided. Based on the obtained results it is suggestedto utilize indenter with a R2&ge0.78. Using multiple regression general equation between UCS, CFT, particle size (D) indenter diameter (I), R2=0.85 is proposed. 135 indentation tests were performed on 3 microcrystalline limestone samples with the aim of verification of obtained empirical equations. Comparing measured UCS in laboratory and estimated UCS values showed 88% similarity
Akbar Cheshomi, , ,
Volume 10, Issue 3 (Vol. 10, No. 3 Autumn2016 2017)
Abstract
Soil classification is one of the major parts of geotechnical studies. So assessment of existing methods for soil classification in different areas is important. For soil classification is used in situ and laboratory test results. Sampling and identification tests are laboratory methods for soil classification. CPTu test is in situ method for soil identification and classification, due to accuracy and speed, this test is used widely in geotechnical study today. Many researchers are proposed some charts for soil classifications based on the parameters measured in CPTu test. In this paper for evaluation the performance of these methods, 58 CPTu test results have been used. These tests are related to four areas in southern Iran. The soils are classified by CPTu methods and then they are compared with 372 laboratory soil classification. Research results show the chart proposed by Robertson (1990) which based on Qt, Ft and Bq variables has the best adaptation with the laboratory soil classification in these studied areas. Then according to data obtained from research, proposed a modified charts based on Rf, qt-u0/σ΄ v , that show 90% adaptation with laboratory soil classification.
