Estimating the brittleness values of carbonated rocks with Shore, Schmidt, and Leeb hardness values
Abstract There is not a defined standard method for determining the brittleness of rocks. Prediction of rock brittleness using rebound based hardness test methods is widely used in the characterization of rocks because they are non-destructive, inexpensive, and easy to apply. Rock surface hardness c...
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| Autor*in: |
Akbay, Deniz [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 |
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| Übergeordnetes Werk: |
Enthalten in: Environmental earth sciences - Berlin : Springer, 2009, 81(2022), 7 vom: 24. März |
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| Übergeordnetes Werk: |
volume:81 ; year:2022 ; number:7 ; day:24 ; month:03 |
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| DOI / URN: |
10.1007/s12665-022-10332-w |
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| 520 | |a Abstract There is not a defined standard method for determining the brittleness of rocks. Prediction of rock brittleness using rebound based hardness test methods is widely used in the characterization of rocks because they are non-destructive, inexpensive, and easy to apply. Rock surface hardness can also be used to predict the physical and mechanical properties of rocks. In this study, hardness values of 12 different carbonated rocks were determined on the same specimens using 3 different methods. C-2 type Shore Scleroscope, L-type Schmidt hammer, and Leeb hardness test device are rebound based hardness tests. The aim of the study is to determine the most suitable rebound hardness test method, that can be used to estimate the four different brittleness values recommended, by considering the compressive and tensile strength values in the literature. Relationships between the hardness values obtained using three different test methods and four different brittleness values were analyzed. It was observed that each method can be interchangeable. It was determined that the rebound based hardness tests could be used in predicting two of the four different brittleness values, which are widely used in the literature but cannot be used in estimating the other two. The strongest relationships were obtained from Leeb hardness values, followed by Shore hardness values and Schmidt hardness values, respectively. The best method to estimate the two brittleness indexes of rocks was determined as Leeb hardness. Besides, Shore hardness and Schmidt hardness methods also had strong relationships between the two brittleness indexes. | ||
| 650 | 4 | |a Shore hardness |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Schmidt hardness |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Leeb hardness |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Rock brittleness |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Compressive strength |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Tensile strength |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Ekincioğlu, Gökhan |0 (orcid)0000-0001-9377-6817 |4 aut | |
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10.1007/s12665-022-10332-w doi (DE-627)SPR046582975 (SPR)s12665-022-10332-w-e DE-627 ger DE-627 rakwb eng Akbay, Deniz verfasserin (orcid)0000-0002-7794-5278 aut Estimating the brittleness values of carbonated rocks with Shore, Schmidt, and Leeb hardness values 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract There is not a defined standard method for determining the brittleness of rocks. Prediction of rock brittleness using rebound based hardness test methods is widely used in the characterization of rocks because they are non-destructive, inexpensive, and easy to apply. Rock surface hardness can also be used to predict the physical and mechanical properties of rocks. In this study, hardness values of 12 different carbonated rocks were determined on the same specimens using 3 different methods. C-2 type Shore Scleroscope, L-type Schmidt hammer, and Leeb hardness test device are rebound based hardness tests. The aim of the study is to determine the most suitable rebound hardness test method, that can be used to estimate the four different brittleness values recommended, by considering the compressive and tensile strength values in the literature. Relationships between the hardness values obtained using three different test methods and four different brittleness values were analyzed. It was observed that each method can be interchangeable. It was determined that the rebound based hardness tests could be used in predicting two of the four different brittleness values, which are widely used in the literature but cannot be used in estimating the other two. The strongest relationships were obtained from Leeb hardness values, followed by Shore hardness values and Schmidt hardness values, respectively. The best method to estimate the two brittleness indexes of rocks was determined as Leeb hardness. Besides, Shore hardness and Schmidt hardness methods also had strong relationships between the two brittleness indexes. Shore hardness (dpeaa)DE-He213 Schmidt hardness (dpeaa)DE-He213 Leeb hardness (dpeaa)DE-He213 Rock brittleness (dpeaa)DE-He213 Compressive strength (dpeaa)DE-He213 Tensile strength (dpeaa)DE-He213 Ekincioğlu, Gökhan (orcid)0000-0001-9377-6817 aut Enthalten in Environmental earth sciences Berlin : Springer, 2009 81(2022), 7 vom: 24. März (DE-627)599673451 (DE-600)2493699-6 1866-6299 nnns volume:81 year:2022 number:7 day:24 month:03 https://dx.doi.org/10.1007/s12665-022-10332-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 81 2022 7 24 03 |
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10.1007/s12665-022-10332-w doi (DE-627)SPR046582975 (SPR)s12665-022-10332-w-e DE-627 ger DE-627 rakwb eng Akbay, Deniz verfasserin (orcid)0000-0002-7794-5278 aut Estimating the brittleness values of carbonated rocks with Shore, Schmidt, and Leeb hardness values 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract There is not a defined standard method for determining the brittleness of rocks. Prediction of rock brittleness using rebound based hardness test methods is widely used in the characterization of rocks because they are non-destructive, inexpensive, and easy to apply. Rock surface hardness can also be used to predict the physical and mechanical properties of rocks. In this study, hardness values of 12 different carbonated rocks were determined on the same specimens using 3 different methods. C-2 type Shore Scleroscope, L-type Schmidt hammer, and Leeb hardness test device are rebound based hardness tests. The aim of the study is to determine the most suitable rebound hardness test method, that can be used to estimate the four different brittleness values recommended, by considering the compressive and tensile strength values in the literature. Relationships between the hardness values obtained using three different test methods and four different brittleness values were analyzed. It was observed that each method can be interchangeable. It was determined that the rebound based hardness tests could be used in predicting two of the four different brittleness values, which are widely used in the literature but cannot be used in estimating the other two. The strongest relationships were obtained from Leeb hardness values, followed by Shore hardness values and Schmidt hardness values, respectively. The best method to estimate the two brittleness indexes of rocks was determined as Leeb hardness. Besides, Shore hardness and Schmidt hardness methods also had strong relationships between the two brittleness indexes. Shore hardness (dpeaa)DE-He213 Schmidt hardness (dpeaa)DE-He213 Leeb hardness (dpeaa)DE-He213 Rock brittleness (dpeaa)DE-He213 Compressive strength (dpeaa)DE-He213 Tensile strength (dpeaa)DE-He213 Ekincioğlu, Gökhan (orcid)0000-0001-9377-6817 aut Enthalten in Environmental earth sciences Berlin : Springer, 2009 81(2022), 7 vom: 24. März (DE-627)599673451 (DE-600)2493699-6 1866-6299 nnns volume:81 year:2022 number:7 day:24 month:03 https://dx.doi.org/10.1007/s12665-022-10332-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 81 2022 7 24 03 |
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10.1007/s12665-022-10332-w doi (DE-627)SPR046582975 (SPR)s12665-022-10332-w-e DE-627 ger DE-627 rakwb eng Akbay, Deniz verfasserin (orcid)0000-0002-7794-5278 aut Estimating the brittleness values of carbonated rocks with Shore, Schmidt, and Leeb hardness values 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract There is not a defined standard method for determining the brittleness of rocks. Prediction of rock brittleness using rebound based hardness test methods is widely used in the characterization of rocks because they are non-destructive, inexpensive, and easy to apply. Rock surface hardness can also be used to predict the physical and mechanical properties of rocks. In this study, hardness values of 12 different carbonated rocks were determined on the same specimens using 3 different methods. C-2 type Shore Scleroscope, L-type Schmidt hammer, and Leeb hardness test device are rebound based hardness tests. The aim of the study is to determine the most suitable rebound hardness test method, that can be used to estimate the four different brittleness values recommended, by considering the compressive and tensile strength values in the literature. Relationships between the hardness values obtained using three different test methods and four different brittleness values were analyzed. It was observed that each method can be interchangeable. It was determined that the rebound based hardness tests could be used in predicting two of the four different brittleness values, which are widely used in the literature but cannot be used in estimating the other two. The strongest relationships were obtained from Leeb hardness values, followed by Shore hardness values and Schmidt hardness values, respectively. The best method to estimate the two brittleness indexes of rocks was determined as Leeb hardness. Besides, Shore hardness and Schmidt hardness methods also had strong relationships between the two brittleness indexes. Shore hardness (dpeaa)DE-He213 Schmidt hardness (dpeaa)DE-He213 Leeb hardness (dpeaa)DE-He213 Rock brittleness (dpeaa)DE-He213 Compressive strength (dpeaa)DE-He213 Tensile strength (dpeaa)DE-He213 Ekincioğlu, Gökhan (orcid)0000-0001-9377-6817 aut Enthalten in Environmental earth sciences Berlin : Springer, 2009 81(2022), 7 vom: 24. März (DE-627)599673451 (DE-600)2493699-6 1866-6299 nnns volume:81 year:2022 number:7 day:24 month:03 https://dx.doi.org/10.1007/s12665-022-10332-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 81 2022 7 24 03 |
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10.1007/s12665-022-10332-w doi (DE-627)SPR046582975 (SPR)s12665-022-10332-w-e DE-627 ger DE-627 rakwb eng Akbay, Deniz verfasserin (orcid)0000-0002-7794-5278 aut Estimating the brittleness values of carbonated rocks with Shore, Schmidt, and Leeb hardness values 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract There is not a defined standard method for determining the brittleness of rocks. Prediction of rock brittleness using rebound based hardness test methods is widely used in the characterization of rocks because they are non-destructive, inexpensive, and easy to apply. Rock surface hardness can also be used to predict the physical and mechanical properties of rocks. In this study, hardness values of 12 different carbonated rocks were determined on the same specimens using 3 different methods. C-2 type Shore Scleroscope, L-type Schmidt hammer, and Leeb hardness test device are rebound based hardness tests. The aim of the study is to determine the most suitable rebound hardness test method, that can be used to estimate the four different brittleness values recommended, by considering the compressive and tensile strength values in the literature. Relationships between the hardness values obtained using three different test methods and four different brittleness values were analyzed. It was observed that each method can be interchangeable. It was determined that the rebound based hardness tests could be used in predicting two of the four different brittleness values, which are widely used in the literature but cannot be used in estimating the other two. The strongest relationships were obtained from Leeb hardness values, followed by Shore hardness values and Schmidt hardness values, respectively. The best method to estimate the two brittleness indexes of rocks was determined as Leeb hardness. Besides, Shore hardness and Schmidt hardness methods also had strong relationships between the two brittleness indexes. Shore hardness (dpeaa)DE-He213 Schmidt hardness (dpeaa)DE-He213 Leeb hardness (dpeaa)DE-He213 Rock brittleness (dpeaa)DE-He213 Compressive strength (dpeaa)DE-He213 Tensile strength (dpeaa)DE-He213 Ekincioğlu, Gökhan (orcid)0000-0001-9377-6817 aut Enthalten in Environmental earth sciences Berlin : Springer, 2009 81(2022), 7 vom: 24. März (DE-627)599673451 (DE-600)2493699-6 1866-6299 nnns volume:81 year:2022 number:7 day:24 month:03 https://dx.doi.org/10.1007/s12665-022-10332-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 81 2022 7 24 03 |
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10.1007/s12665-022-10332-w doi (DE-627)SPR046582975 (SPR)s12665-022-10332-w-e DE-627 ger DE-627 rakwb eng Akbay, Deniz verfasserin (orcid)0000-0002-7794-5278 aut Estimating the brittleness values of carbonated rocks with Shore, Schmidt, and Leeb hardness values 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract There is not a defined standard method for determining the brittleness of rocks. Prediction of rock brittleness using rebound based hardness test methods is widely used in the characterization of rocks because they are non-destructive, inexpensive, and easy to apply. Rock surface hardness can also be used to predict the physical and mechanical properties of rocks. In this study, hardness values of 12 different carbonated rocks were determined on the same specimens using 3 different methods. C-2 type Shore Scleroscope, L-type Schmidt hammer, and Leeb hardness test device are rebound based hardness tests. The aim of the study is to determine the most suitable rebound hardness test method, that can be used to estimate the four different brittleness values recommended, by considering the compressive and tensile strength values in the literature. Relationships between the hardness values obtained using three different test methods and four different brittleness values were analyzed. It was observed that each method can be interchangeable. It was determined that the rebound based hardness tests could be used in predicting two of the four different brittleness values, which are widely used in the literature but cannot be used in estimating the other two. The strongest relationships were obtained from Leeb hardness values, followed by Shore hardness values and Schmidt hardness values, respectively. The best method to estimate the two brittleness indexes of rocks was determined as Leeb hardness. Besides, Shore hardness and Schmidt hardness methods also had strong relationships between the two brittleness indexes. Shore hardness (dpeaa)DE-He213 Schmidt hardness (dpeaa)DE-He213 Leeb hardness (dpeaa)DE-He213 Rock brittleness (dpeaa)DE-He213 Compressive strength (dpeaa)DE-He213 Tensile strength (dpeaa)DE-He213 Ekincioğlu, Gökhan (orcid)0000-0001-9377-6817 aut Enthalten in Environmental earth sciences Berlin : Springer, 2009 81(2022), 7 vom: 24. März (DE-627)599673451 (DE-600)2493699-6 1866-6299 nnns volume:81 year:2022 number:7 day:24 month:03 https://dx.doi.org/10.1007/s12665-022-10332-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 81 2022 7 24 03 |
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Prediction of rock brittleness using rebound based hardness test methods is widely used in the characterization of rocks because they are non-destructive, inexpensive, and easy to apply. Rock surface hardness can also be used to predict the physical and mechanical properties of rocks. In this study, hardness values of 12 different carbonated rocks were determined on the same specimens using 3 different methods. C-2 type Shore Scleroscope, L-type Schmidt hammer, and Leeb hardness test device are rebound based hardness tests. The aim of the study is to determine the most suitable rebound hardness test method, that can be used to estimate the four different brittleness values recommended, by considering the compressive and tensile strength values in the literature. Relationships between the hardness values obtained using three different test methods and four different brittleness values were analyzed. It was observed that each method can be interchangeable. It was determined that the rebound based hardness tests could be used in predicting two of the four different brittleness values, which are widely used in the literature but cannot be used in estimating the other two. The strongest relationships were obtained from Leeb hardness values, followed by Shore hardness values and Schmidt hardness values, respectively. The best method to estimate the two brittleness indexes of rocks was determined as Leeb hardness. 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Akbay, Deniz |
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Akbay, Deniz misc Shore hardness misc Schmidt hardness misc Leeb hardness misc Rock brittleness misc Compressive strength misc Tensile strength Estimating the brittleness values of carbonated rocks with Shore, Schmidt, and Leeb hardness values |
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Estimating the brittleness values of carbonated rocks with Shore, Schmidt, and Leeb hardness values Shore hardness (dpeaa)DE-He213 Schmidt hardness (dpeaa)DE-He213 Leeb hardness (dpeaa)DE-He213 Rock brittleness (dpeaa)DE-He213 Compressive strength (dpeaa)DE-He213 Tensile strength (dpeaa)DE-He213 |
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estimating the brittleness values of carbonated rocks with shore, schmidt, and leeb hardness values |
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Estimating the brittleness values of carbonated rocks with Shore, Schmidt, and Leeb hardness values |
| abstract |
Abstract There is not a defined standard method for determining the brittleness of rocks. Prediction of rock brittleness using rebound based hardness test methods is widely used in the characterization of rocks because they are non-destructive, inexpensive, and easy to apply. Rock surface hardness can also be used to predict the physical and mechanical properties of rocks. In this study, hardness values of 12 different carbonated rocks were determined on the same specimens using 3 different methods. C-2 type Shore Scleroscope, L-type Schmidt hammer, and Leeb hardness test device are rebound based hardness tests. The aim of the study is to determine the most suitable rebound hardness test method, that can be used to estimate the four different brittleness values recommended, by considering the compressive and tensile strength values in the literature. Relationships between the hardness values obtained using three different test methods and four different brittleness values were analyzed. It was observed that each method can be interchangeable. It was determined that the rebound based hardness tests could be used in predicting two of the four different brittleness values, which are widely used in the literature but cannot be used in estimating the other two. The strongest relationships were obtained from Leeb hardness values, followed by Shore hardness values and Schmidt hardness values, respectively. The best method to estimate the two brittleness indexes of rocks was determined as Leeb hardness. Besides, Shore hardness and Schmidt hardness methods also had strong relationships between the two brittleness indexes. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 |
| abstractGer |
Abstract There is not a defined standard method for determining the brittleness of rocks. Prediction of rock brittleness using rebound based hardness test methods is widely used in the characterization of rocks because they are non-destructive, inexpensive, and easy to apply. Rock surface hardness can also be used to predict the physical and mechanical properties of rocks. In this study, hardness values of 12 different carbonated rocks were determined on the same specimens using 3 different methods. C-2 type Shore Scleroscope, L-type Schmidt hammer, and Leeb hardness test device are rebound based hardness tests. The aim of the study is to determine the most suitable rebound hardness test method, that can be used to estimate the four different brittleness values recommended, by considering the compressive and tensile strength values in the literature. Relationships between the hardness values obtained using three different test methods and four different brittleness values were analyzed. It was observed that each method can be interchangeable. It was determined that the rebound based hardness tests could be used in predicting two of the four different brittleness values, which are widely used in the literature but cannot be used in estimating the other two. The strongest relationships were obtained from Leeb hardness values, followed by Shore hardness values and Schmidt hardness values, respectively. The best method to estimate the two brittleness indexes of rocks was determined as Leeb hardness. Besides, Shore hardness and Schmidt hardness methods also had strong relationships between the two brittleness indexes. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 |
| abstract_unstemmed |
Abstract There is not a defined standard method for determining the brittleness of rocks. Prediction of rock brittleness using rebound based hardness test methods is widely used in the characterization of rocks because they are non-destructive, inexpensive, and easy to apply. Rock surface hardness can also be used to predict the physical and mechanical properties of rocks. In this study, hardness values of 12 different carbonated rocks were determined on the same specimens using 3 different methods. C-2 type Shore Scleroscope, L-type Schmidt hammer, and Leeb hardness test device are rebound based hardness tests. The aim of the study is to determine the most suitable rebound hardness test method, that can be used to estimate the four different brittleness values recommended, by considering the compressive and tensile strength values in the literature. Relationships between the hardness values obtained using three different test methods and four different brittleness values were analyzed. It was observed that each method can be interchangeable. It was determined that the rebound based hardness tests could be used in predicting two of the four different brittleness values, which are widely used in the literature but cannot be used in estimating the other two. The strongest relationships were obtained from Leeb hardness values, followed by Shore hardness values and Schmidt hardness values, respectively. The best method to estimate the two brittleness indexes of rocks was determined as Leeb hardness. Besides, Shore hardness and Schmidt hardness methods also had strong relationships between the two brittleness indexes. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 |
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Estimating the brittleness values of carbonated rocks with Shore, Schmidt, and Leeb hardness values |
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Ekincioğlu, Gökhan |
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10.1007/s12665-022-10332-w |
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| score |
7.3986044 |