The Experts below are selected from a list of 309 Experts worldwide ranked by ideXlab platform
Raffaele Pucinotti - One of the best experts on this subject based on the ideXlab platform.
-
In situ concrete strength assessment: Part I – the use of multiple combined nondestructive testing
International Journal of Microstructure and Materials Properties, 2009Co-Authors: Raffaele PucinottiAbstract:A series of nondestructive tests was performed with the purpose of investigating the mechanical properties of the concrete employed in civil buildings. A series of specimens were prepared to correlate the in situ concrete strengths obtained by multiple combined nondestructive methods with the cubical and cylindrical strength obtained by destructive methods. The multiple combined methods (SonReb methods + Windsor Probe tests) were used for the quality control and strength estimation of the concrete. In particular, a series of specimens by aggregates having various Mohs Hardness and by aggregates with only a class of Mohs Hardness was prepared. The comparison between nondestructive and destructive tests, conduced on cores from the specimens, were evidenced, as the use of Windsor methods is generally justifiable only if a reliable correlation for a particular type of concrete is developed and as both the SonReb and SonReb-Win methods give resistance values that are close to the actual ones.
-
In situ concrete strength assessment: Part II – valuation of equivalent aggregate Hardness by neuro-fuzzy techniques
International Journal of Microstructure and Materials Properties, 2009Co-Authors: Raffaele Pucinotti, Mario VersaciAbstract:In this paper a series of nondestructive and destructive laboratory tests is presented with the purpose of investigating the influence of aggregate Hardness on the test results of Windsor probe test system. A series of specimens fabricated by aggregates having various values of Mohs Hardness (i.e., aggregates of fluvial origin) and by aggregates with only a class of Mohs Hardness (crushed aggregates) was prepared. During the concrete casting, a series of cubical specimens was prepared. Subsequently the Windsor probe system was applied to estimate the in situ strength of specimens. Then, from each specimen two cores were extracted. Finally, a comparison between penetration tests and core strengths was carried out. The selection of the more suitable choice of Mohs Hardness was carried out by neuro-fuzzy techniques. Fuzzy surfaces techniques were exploited in order to reduce the computational complexity and to select the input set of our system. The comparison between nondestructive and destructive tests, conducted on cores from the specimens, gave evidence of the reliability of the technique.
-
In situ concrete strength assessment: Influence of the aggregate Hardness on the Windsor probe test results
Journal of Building Appraisal, 2009Co-Authors: Raffaele PucinottiAbstract:Experimental research was carried out to investigate the influence of aggregate Hardness on Windsor probe test results. A series of concrete specimens prepared from aggregates having a variety of Mohs' Hardness values and also specimens using an aggregate with a consistent class of Mohs' Hardness were prepared. The models once prepared were subjected to penetration tests. After conducting the penetration tests, cores were extracted from the specimens. A comparison between penetration tests and the core strength was carried out. These show that the Windsor method is more reliable when only one class of Mohs' Hardness is contained in the specimens. In this case the results can be considered acceptable. The uncertainties grow as the number of classes of Mohs' Hardness increase. When testing during the presence of aggregates with different classes of Hardness, it is necessary to construct suitable curves of calibration.
Reza Mikaeil - One of the best experts on this subject based on the ideXlab platform.
-
A new conventional criterion for the performance evaluation of gang saw machines
Measurement, 2019Co-Authors: Reza Mikaeil, Sina Shaffiee Haghshenas, Roohollah Shirani Faradonbeh, Abbas Taheri, Amir Saghatforoush, Alireza DormishiAbstract:Abstract The process of cutting dimension stones by gang saw machines plays a vital role in the productivity and efficiency of quarries and stone cutting factories. The maximum electrical current (MEC) is a key variable for assessing this process. This paper proposes two new models based on multiple linear regression (MLP) and a robust non-linear algorithm of gene expression programming (GEP) to predict MEC. To do so, the parameters of Mohs Hardness (Mh), uniaxial compressive strength (UCS), Schimazek’s F-abrasiveness factor (SF-a), Young’s modulus (YM) and production rate (Pr) were measured as input parameters using laboratory tests. A statistical comparison was made between the developed models and a previous study. The GEP-based model was found to be a reliable and robust modelling approach for predicting MEC. Finally, according to the conducted parametric analysis, Mh was identified as the most influential parameter on MEC prediction.
-
Energy consumption prediction of gang saws from rock properties in carbonate rocks cutting process
International Journal of Mining and Mineral Engineering, 2018Co-Authors: Alireza Dormishi, Mohammad Ataei, Reza Khalokakaei, Reza MikaeilAbstract:Performance measurements of gang saws were conducted on 12 different carbonate rocks in marble factories located in Iran. Ampere consumption and rock properties such as uniaxial compressive strength, Young modulus, Mohs Hardness and Schimazek's F-abrasiveness factor were evaluated using linear and nonlinear regression analysis. The result of linear regression indicated that there is a strong correlation (R2 = 0.85) between ampere consumption and uniaxial compressive strength compared to other parameters. The developed nonlinear models were verified by statistical tests and the best predicted model was selected. It was concluded that the ampere consumption of carbonate rocks using gang saws can reliably be estimated with a coefficient of correlation above 0.9 using the developed model. It is very useful to evaluate the energy consumption and predict the energy cost for a new rock type by only the mechanical properties testing.
-
Analysis of bead wear in diamond wire sawing considering the rock properties and production rate
Bulletin of Engineering Geology and the Environment, 2017Co-Authors: S. Najmedin Almasi, Reza Mikaeil, R. Bagherpour, Yılmaz ÖzçelikAbstract:Predicting the wear rate of diamond beads in the diamond wire sawing process is one of the most important factors in the optimized design and cost estimation of quarrying. This paper aims to predict the wear rate of diamond beads as one of the principal performance criteria in dimension stone quarrying. Saw operating parameters and mechanical and physical properties of rock are the most effective factors on diamond bead wear. In the same working conditions (at constant operating parameters), the wear rate of diamond wire saw is strongly affected by the production rate, and the characteristics of rock. In this study, the uniaxial compressive strength, Schmiazek abrasivity factor, Mohs Hardness, and Young’s modulus were selected as the main physical and mechanical properties of rock. The 11 types of igneous rocks were cut in the laboratory using a diamond wire saw and a fully instrumented cutting platform. During the cutting process, the wear rate of diamond beads were determined after each cutting test. The wear rate of diamond bead and rock characteristics were evaluated using simple and multiple curvilinear regression analysis, and prediction models were developed. The developed models were validated by considering the t-test, F-test, correlation coefficient and the plots of predicted versus actual values. The results indicated that the wear rate of diamond beads can be reliably predicted using the developed model.
-
Rock Penetrability Classification Using Artificial Bee Colony (ABC) Algorithm and Self-Organizing Map
Geotechnical and Geological Engineering, 2017Co-Authors: Reza Mikaeil, Sina Shaffiee Haghshenas, Seyed Hadi HoseinieAbstract:Penetrability is a dominant factor in selecting the suitable drilling method, adjustment of machine parameters and tool wear analysis. In this paper, it is aimed to classify the rock penetrability using Artificial Bee Colony (ABC) algorithm as one of the powerful meta-heuristic algorithms and Self-Organizing Map (SOM) as one of the precise scientific tools. For this purpose, eight different rocks from open pit mines and highway slopes were classified into four separate clusters according to physical and mechanical properties of rock including uniaxial compressive strength, mean Mohs Hardness, Young modulus and Schimazek’s F-abrasivity. To evaluate and validate the obtained clusters, field studies were performed and the drilling rate of studied rocks was measured. The results of field study were compared with the results of ABC algorithm and SOM. The results showed that, the studied rocks were reliably classified with respect to their drilling rate. It is concluded that applied techniques can be used for solving the complex rock engineering problems specially in engineering classification of rocks.
-
Predicting the Building Stone Cutting Rate Based on Rock Properties and Device Pullback Amperage in Quarries Using M5P Model Tree
Geotechnical and Geological Engineering, 2017Co-Authors: S. Najmedin Almasi, Yılmaz Özçelik, R. Bagherpour, Reza Mikaeil, Hamid KalhoriAbstract:One of the key parameters that affect the selection of equipment and the cost estimation of dimension stone quarries is the rock cutting rate or production rate. In this study, the M5P tree algorithm is used to determine the relationship between the hard rock sawability and its factors especially the physical and mechanical characteristics of rock. To achieve the research goal, a variety of eleven types of hard dimension stone were selected and nine major physical and mechanical characteristics of rock including uniaxial compressive strength, Young’s modulus, Brazilian tensile strength, equivalent quarts content, grain size, Mohs Hardness, point load test, density and P-wave velocity of these samples were evaluated. The cutting rate of diamond wire for all of the Workpiece was measured at different pullback amperage with a fully instrumented cutting platform in laboratory. All operational parameters of cutting process were entirely controlled. Thus, a database containing 99 datasets was provided and it has been used for analyses. The obtained results from the pruned and unpruned tree models showed a significant relationship between cutting rate and its factors. In the end, the results of M5P tree method were compared with statistical analyses (i.e., linear and nonlinear regression). The coefficient of determination be equal with 0.92, 0.86, 0.77 and 0.63 for unpruned tree, pruned tree, linear and nonlinear regression method respectively. This comparison showed that the both method of M5P tree technique have a better performance in predicting the cutting rate rather than the statistical regression methods.
Izabela Szlufarska - One of the best experts on this subject based on the ideXlab platform.
-
toward demystifying the Mohs Hardness scale
Journal of the American Ceramic Society, 2015Co-Authors: William W Gerberich, Roberto Ballarini, Eric Hintsala, Maneesh Mishra, Jeanfrancois Molinari, Izabela SzlufarskaAbstract:Today, the Mohs scale is used profusely throughout educational systems without any persuasive understanding of the fundamental principles. Why one mineral has a scratch Hardness over the next culminating in a scale of 1 (chalk) to 10 (diamond) has no atomistic or structure-sensitive basis that explains this outcome. With modern computationally based atomistic and multiscale models, there is increasing promise of defining the pressure and rate-dependent parameters that will allow a fundamental understanding of the Mohs scale. This study principally addresses the combined fracture and plasticity parameters that qualitatively affect fracture at the nanoscale. A physical model wherein the crack tip under a scratch is shielded by dislocations is supported by molecular dynamics (MD) simulations in both ductile aluminum and brittle silicon carbide. Next, this model is applied to nanoindentation data from the literature to produce a ranking of Mohs minerals based on their fundamental properties. As such, what is presented here is a first step to address the flow and fracture parameters ultimately required to provide a figure of merit for scratch Hardness and thus the Mohs scale.
Mohammad Ataei - One of the best experts on this subject based on the ideXlab platform.
-
Energy consumption prediction of gang saws from rock properties in carbonate rocks cutting process
International Journal of Mining and Mineral Engineering, 2018Co-Authors: Alireza Dormishi, Mohammad Ataei, Reza Khalokakaei, Reza MikaeilAbstract:Performance measurements of gang saws were conducted on 12 different carbonate rocks in marble factories located in Iran. Ampere consumption and rock properties such as uniaxial compressive strength, Young modulus, Mohs Hardness and Schimazek's F-abrasiveness factor were evaluated using linear and nonlinear regression analysis. The result of linear regression indicated that there is a strong correlation (R2 = 0.85) between ampere consumption and uniaxial compressive strength compared to other parameters. The developed nonlinear models were verified by statistical tests and the best predicted model was selected. It was concluded that the ampere consumption of carbonate rocks using gang saws can reliably be estimated with a coefficient of correlation above 0.9 using the developed model. It is very useful to evaluate the energy consumption and predict the energy cost for a new rock type by only the mechanical properties testing.
-
A fuzzy logic based classification for assessing of rock mass drillability
International Journal of Mining and Mineral Engineering, 2016Co-Authors: Reza Khalokakaie, Mohammad Ataei, R. Mikaiel, Seyed Hadi HoseinieAbstract:This paper describes a fuzzy classification system for evaluating of rock mass drillability. Six parameters; Uniaxial Compressive Strength (UCS), joints dipping, Mohs Hardness, joints aperture, joints spacing and grain size have been used. In this fuzzy system, each rock mass is classified into five modes from very poor to excellent condition. As a case study, 15 rock masses in two mines in Iran have been studied and classified using fuzzy system and classic classification. The comparison of the results shows that the fuzzy classification produces clearer results than classic system especially in rock masses with boundary condition.
-
ranking sawability of dimension stone using promethee method
Journal of Mining and Environment, 2015Co-Authors: Reza Mikaeil, Abdollahi M Kamran, Golsa Sadegheslam, Mohammad AtaeiAbstract:Predicting the sawability of the dimension stone is one of the most important factors involved in production planning. Moreover, this factor can be used as an important criterion in the cost estimation and planning of the stone plants. The main purpose for carrying out this work was to rank the sawability of the dimension stone using the PROMETHEE method. In this research work, four important physical and mechanical properties of rocks including the uniaxial compressive strength, Schmiazek F-abrasivity, Mohs Hardness, and Young's modulus were evaluated as the criteria. During the research process, two groups of dimension stones were selected and analyzed. The rock samples were collected from a number of Iranian factories for the laboratory tests. The production rate of each sawn stone was selected to verify the proposed sawability ranking method. The results obtained showed that the new ranking method can be reliably used for evaluating the sawability of the dimension stone at any stone factory with different rocks only by the physical and mechanical properties testing.
-
Comparison of Some Rock Hardness Scales Applied in Drillability Studies
Arabian Journal for Science and Engineering, 2012Co-Authors: Seyed Hadi Hoseinie, Mohammad Ataei, R. MikaielAbstract:In this paper, the influence of Hardness of rock material on drilling rate has been studied. During the research, eight various rock types were subjected to drilling and Hardness tests such as; Mohs Hardness, Indentation Hardness Index (IHI) and L-type Schmidt hammer. Mean Mohs Hardness of each rock was calculated based on the Hardness of contained minerals and other two scales are carried out based on ISRM standards. For drilling studies, rock samples have been drilled using actual pneumatics top hammer drilling machine with three inches diameter cross type bit. Regression analyses between mean Mohs Hardness and the drilling rate reveal that in soft rocks, with increase in Hardness, drilling rate decreases logarithmically but in hard rocks, with increase in Hardness, drilling rate decreases linearly. In total, with increase in Mohs Hardness, drilling rate decreases exponentially. Also, with increase in Indentation Hardness Index and Schmidt hammer value, drilling rate decreases logarithmically. The regression analyses showed that Indentation Hardness Index has the best and stronger relationship with the rate of percussive drilling.
William W Gerberich - One of the best experts on this subject based on the ideXlab platform.
-
toward demystifying the Mohs Hardness scale
Journal of the American Ceramic Society, 2015Co-Authors: William W Gerberich, Roberto Ballarini, Eric Hintsala, Maneesh Mishra, Jeanfrancois Molinari, Izabela SzlufarskaAbstract:Today, the Mohs scale is used profusely throughout educational systems without any persuasive understanding of the fundamental principles. Why one mineral has a scratch Hardness over the next culminating in a scale of 1 (chalk) to 10 (diamond) has no atomistic or structure-sensitive basis that explains this outcome. With modern computationally based atomistic and multiscale models, there is increasing promise of defining the pressure and rate-dependent parameters that will allow a fundamental understanding of the Mohs scale. This study principally addresses the combined fracture and plasticity parameters that qualitatively affect fracture at the nanoscale. A physical model wherein the crack tip under a scratch is shielded by dislocations is supported by molecular dynamics (MD) simulations in both ductile aluminum and brittle silicon carbide. Next, this model is applied to nanoindentation data from the literature to produce a ranking of Mohs minerals based on their fundamental properties. As such, what is presented here is a first step to address the flow and fracture parameters ultimately required to provide a figure of merit for scratch Hardness and thus the Mohs scale.