Estimation of the Specific Energy of TBM Using the Strain Energy of Rock Mass, Case Study: Amir-Kabir Water Transferring Tunnel of Iran
Abstract The specific energy (SE) is the most important parameter to estimate the energy consumption in tunnel boring machines (TBMs). It is defined as the amount of required energy to excavate a unit volume of rock mass which used to predict the performance of TBMs. Several models are used to estim...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Mirahmadi, M. [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer International Publishing Switzerland 2017 |
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| Übergeordnetes Werk: |
Enthalten in: Geotechnical and geological engineering - Springer International Publishing, 1991, 35(2017), 5 vom: 27. März, Seite 1991-2002 |
|---|---|
| Übergeordnetes Werk: |
volume:35 ; year:2017 ; number:5 ; day:27 ; month:03 ; pages:1991-2002 |
| Links: |
|---|
| DOI / URN: |
10.1007/s10706-017-0222-z |
|---|
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OLC202597213X |
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| 520 | |a Abstract The specific energy (SE) is the most important parameter to estimate the energy consumption in tunnel boring machines (TBMs). It is defined as the amount of required energy to excavate a unit volume of rock mass which used to predict the performance of TBMs. Several models are used to estimate the SE based on different parameters such as the rock mass properties, disc cutter dimensions and cutting geometry. The aim of this work is to propose new relations between the SE and the strain energy of rock mass (W) using the geological mappings of rock mass and TBM operational parameters from Amir-Kabir Water Transferring Tunnel of Iran. W is an appropriate criterion to estimate SE because it is a function of different parameters such as rock mass behavior, pre and post failure properties and peak and residual strains. In this study, to increase the correlation coefficient of relation between the mentioned parameters, the rock mass is classified in two methods, in the first method according to the geological strength index (GSI) all data is classified in three classes such as weak, fair and good and in the second method using the drop to deformation modulus ratio (η) the classification of data is performed in three classes such as η < 0.05, 0.05 ≤ η < 10 and η ≥ 10. The results show that there are direct relations between both parameters. It is suggested to estimate SE in all rock mass classes using the proposed relations based on GSI classification. | ||
| 650 | 4 | |a Specific energy | |
| 650 | 4 | |a Post failure behavior | |
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10.1007/s10706-017-0222-z doi (DE-627)OLC202597213X (DE-He213)s10706-017-0222-z-p DE-627 ger DE-627 rakwb eng 620 660 550 VZ 19,1 ssgn Mirahmadi, M. verfasserin aut Estimation of the Specific Energy of TBM Using the Strain Energy of Rock Mass, Case Study: Amir-Kabir Water Transferring Tunnel of Iran 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer International Publishing Switzerland 2017 Abstract The specific energy (SE) is the most important parameter to estimate the energy consumption in tunnel boring machines (TBMs). It is defined as the amount of required energy to excavate a unit volume of rock mass which used to predict the performance of TBMs. Several models are used to estimate the SE based on different parameters such as the rock mass properties, disc cutter dimensions and cutting geometry. The aim of this work is to propose new relations between the SE and the strain energy of rock mass (W) using the geological mappings of rock mass and TBM operational parameters from Amir-Kabir Water Transferring Tunnel of Iran. W is an appropriate criterion to estimate SE because it is a function of different parameters such as rock mass behavior, pre and post failure properties and peak and residual strains. In this study, to increase the correlation coefficient of relation between the mentioned parameters, the rock mass is classified in two methods, in the first method according to the geological strength index (GSI) all data is classified in three classes such as weak, fair and good and in the second method using the drop to deformation modulus ratio (η) the classification of data is performed in three classes such as η < 0.05, 0.05 ≤ η < 10 and η ≥ 10. The results show that there are direct relations between both parameters. It is suggested to estimate SE in all rock mass classes using the proposed relations based on GSI classification. Specific energy Post failure behavior Strain energy Geological strength index Drop to deformation modulus ratio Tabaei, M. aut Dehkordi, M. Soleiman aut Enthalten in Geotechnical and geological engineering Springer International Publishing, 1991 35(2017), 5 vom: 27. März, Seite 1991-2002 (DE-627)130993441 (DE-600)1081719-0 (DE-576)032852495 0960-3182 nnns volume:35 year:2017 number:5 day:27 month:03 pages:1991-2002 https://doi.org/10.1007/s10706-017-0222-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 AR 35 2017 5 27 03 1991-2002 |
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10.1007/s10706-017-0222-z doi (DE-627)OLC202597213X (DE-He213)s10706-017-0222-z-p DE-627 ger DE-627 rakwb eng 620 660 550 VZ 19,1 ssgn Mirahmadi, M. verfasserin aut Estimation of the Specific Energy of TBM Using the Strain Energy of Rock Mass, Case Study: Amir-Kabir Water Transferring Tunnel of Iran 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer International Publishing Switzerland 2017 Abstract The specific energy (SE) is the most important parameter to estimate the energy consumption in tunnel boring machines (TBMs). It is defined as the amount of required energy to excavate a unit volume of rock mass which used to predict the performance of TBMs. Several models are used to estimate the SE based on different parameters such as the rock mass properties, disc cutter dimensions and cutting geometry. The aim of this work is to propose new relations between the SE and the strain energy of rock mass (W) using the geological mappings of rock mass and TBM operational parameters from Amir-Kabir Water Transferring Tunnel of Iran. W is an appropriate criterion to estimate SE because it is a function of different parameters such as rock mass behavior, pre and post failure properties and peak and residual strains. In this study, to increase the correlation coefficient of relation between the mentioned parameters, the rock mass is classified in two methods, in the first method according to the geological strength index (GSI) all data is classified in three classes such as weak, fair and good and in the second method using the drop to deformation modulus ratio (η) the classification of data is performed in three classes such as η < 0.05, 0.05 ≤ η < 10 and η ≥ 10. The results show that there are direct relations between both parameters. It is suggested to estimate SE in all rock mass classes using the proposed relations based on GSI classification. Specific energy Post failure behavior Strain energy Geological strength index Drop to deformation modulus ratio Tabaei, M. aut Dehkordi, M. Soleiman aut Enthalten in Geotechnical and geological engineering Springer International Publishing, 1991 35(2017), 5 vom: 27. März, Seite 1991-2002 (DE-627)130993441 (DE-600)1081719-0 (DE-576)032852495 0960-3182 nnns volume:35 year:2017 number:5 day:27 month:03 pages:1991-2002 https://doi.org/10.1007/s10706-017-0222-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 AR 35 2017 5 27 03 1991-2002 |
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10.1007/s10706-017-0222-z doi (DE-627)OLC202597213X (DE-He213)s10706-017-0222-z-p DE-627 ger DE-627 rakwb eng 620 660 550 VZ 19,1 ssgn Mirahmadi, M. verfasserin aut Estimation of the Specific Energy of TBM Using the Strain Energy of Rock Mass, Case Study: Amir-Kabir Water Transferring Tunnel of Iran 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer International Publishing Switzerland 2017 Abstract The specific energy (SE) is the most important parameter to estimate the energy consumption in tunnel boring machines (TBMs). It is defined as the amount of required energy to excavate a unit volume of rock mass which used to predict the performance of TBMs. Several models are used to estimate the SE based on different parameters such as the rock mass properties, disc cutter dimensions and cutting geometry. The aim of this work is to propose new relations between the SE and the strain energy of rock mass (W) using the geological mappings of rock mass and TBM operational parameters from Amir-Kabir Water Transferring Tunnel of Iran. W is an appropriate criterion to estimate SE because it is a function of different parameters such as rock mass behavior, pre and post failure properties and peak and residual strains. In this study, to increase the correlation coefficient of relation between the mentioned parameters, the rock mass is classified in two methods, in the first method according to the geological strength index (GSI) all data is classified in three classes such as weak, fair and good and in the second method using the drop to deformation modulus ratio (η) the classification of data is performed in three classes such as η < 0.05, 0.05 ≤ η < 10 and η ≥ 10. The results show that there are direct relations between both parameters. It is suggested to estimate SE in all rock mass classes using the proposed relations based on GSI classification. Specific energy Post failure behavior Strain energy Geological strength index Drop to deformation modulus ratio Tabaei, M. aut Dehkordi, M. Soleiman aut Enthalten in Geotechnical and geological engineering Springer International Publishing, 1991 35(2017), 5 vom: 27. März, Seite 1991-2002 (DE-627)130993441 (DE-600)1081719-0 (DE-576)032852495 0960-3182 nnns volume:35 year:2017 number:5 day:27 month:03 pages:1991-2002 https://doi.org/10.1007/s10706-017-0222-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 AR 35 2017 5 27 03 1991-2002 |
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10.1007/s10706-017-0222-z doi (DE-627)OLC202597213X (DE-He213)s10706-017-0222-z-p DE-627 ger DE-627 rakwb eng 620 660 550 VZ 19,1 ssgn Mirahmadi, M. verfasserin aut Estimation of the Specific Energy of TBM Using the Strain Energy of Rock Mass, Case Study: Amir-Kabir Water Transferring Tunnel of Iran 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer International Publishing Switzerland 2017 Abstract The specific energy (SE) is the most important parameter to estimate the energy consumption in tunnel boring machines (TBMs). It is defined as the amount of required energy to excavate a unit volume of rock mass which used to predict the performance of TBMs. Several models are used to estimate the SE based on different parameters such as the rock mass properties, disc cutter dimensions and cutting geometry. The aim of this work is to propose new relations between the SE and the strain energy of rock mass (W) using the geological mappings of rock mass and TBM operational parameters from Amir-Kabir Water Transferring Tunnel of Iran. W is an appropriate criterion to estimate SE because it is a function of different parameters such as rock mass behavior, pre and post failure properties and peak and residual strains. In this study, to increase the correlation coefficient of relation between the mentioned parameters, the rock mass is classified in two methods, in the first method according to the geological strength index (GSI) all data is classified in three classes such as weak, fair and good and in the second method using the drop to deformation modulus ratio (η) the classification of data is performed in three classes such as η < 0.05, 0.05 ≤ η < 10 and η ≥ 10. The results show that there are direct relations between both parameters. It is suggested to estimate SE in all rock mass classes using the proposed relations based on GSI classification. Specific energy Post failure behavior Strain energy Geological strength index Drop to deformation modulus ratio Tabaei, M. aut Dehkordi, M. Soleiman aut Enthalten in Geotechnical and geological engineering Springer International Publishing, 1991 35(2017), 5 vom: 27. März, Seite 1991-2002 (DE-627)130993441 (DE-600)1081719-0 (DE-576)032852495 0960-3182 nnns volume:35 year:2017 number:5 day:27 month:03 pages:1991-2002 https://doi.org/10.1007/s10706-017-0222-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 AR 35 2017 5 27 03 1991-2002 |
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10.1007/s10706-017-0222-z doi (DE-627)OLC202597213X (DE-He213)s10706-017-0222-z-p DE-627 ger DE-627 rakwb eng 620 660 550 VZ 19,1 ssgn Mirahmadi, M. verfasserin aut Estimation of the Specific Energy of TBM Using the Strain Energy of Rock Mass, Case Study: Amir-Kabir Water Transferring Tunnel of Iran 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer International Publishing Switzerland 2017 Abstract The specific energy (SE) is the most important parameter to estimate the energy consumption in tunnel boring machines (TBMs). It is defined as the amount of required energy to excavate a unit volume of rock mass which used to predict the performance of TBMs. Several models are used to estimate the SE based on different parameters such as the rock mass properties, disc cutter dimensions and cutting geometry. The aim of this work is to propose new relations between the SE and the strain energy of rock mass (W) using the geological mappings of rock mass and TBM operational parameters from Amir-Kabir Water Transferring Tunnel of Iran. W is an appropriate criterion to estimate SE because it is a function of different parameters such as rock mass behavior, pre and post failure properties and peak and residual strains. In this study, to increase the correlation coefficient of relation between the mentioned parameters, the rock mass is classified in two methods, in the first method according to the geological strength index (GSI) all data is classified in three classes such as weak, fair and good and in the second method using the drop to deformation modulus ratio (η) the classification of data is performed in three classes such as η < 0.05, 0.05 ≤ η < 10 and η ≥ 10. The results show that there are direct relations between both parameters. It is suggested to estimate SE in all rock mass classes using the proposed relations based on GSI classification. Specific energy Post failure behavior Strain energy Geological strength index Drop to deformation modulus ratio Tabaei, M. aut Dehkordi, M. Soleiman aut Enthalten in Geotechnical and geological engineering Springer International Publishing, 1991 35(2017), 5 vom: 27. März, Seite 1991-2002 (DE-627)130993441 (DE-600)1081719-0 (DE-576)032852495 0960-3182 nnns volume:35 year:2017 number:5 day:27 month:03 pages:1991-2002 https://doi.org/10.1007/s10706-017-0222-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 AR 35 2017 5 27 03 1991-2002 |
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Geotechnical and geological engineering |
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620 - Engineering 660 - Chemical engineering 550 - Earth sciences & geology |
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Geotechnical and geological engineering |
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Estimation of the Specific Energy of TBM Using the Strain Energy of Rock Mass, Case Study: Amir-Kabir Water Transferring Tunnel of Iran |
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(DE-627)OLC202597213X (DE-He213)s10706-017-0222-z-p |
| title_full |
Estimation of the Specific Energy of TBM Using the Strain Energy of Rock Mass, Case Study: Amir-Kabir Water Transferring Tunnel of Iran |
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Mirahmadi, M. |
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Geotechnical and geological engineering |
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Geotechnical and geological engineering |
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eng |
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2017 |
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1991 |
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Mirahmadi, M. Tabaei, M. Dehkordi, M. Soleiman |
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35 |
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620 660 550 VZ 19,1 ssgn |
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Mirahmadi, M. |
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10.1007/s10706-017-0222-z |
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620 660 550 |
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estimation of the specific energy of tbm using the strain energy of rock mass, case study: amir-kabir water transferring tunnel of iran |
| title_auth |
Estimation of the Specific Energy of TBM Using the Strain Energy of Rock Mass, Case Study: Amir-Kabir Water Transferring Tunnel of Iran |
| abstract |
Abstract The specific energy (SE) is the most important parameter to estimate the energy consumption in tunnel boring machines (TBMs). It is defined as the amount of required energy to excavate a unit volume of rock mass which used to predict the performance of TBMs. Several models are used to estimate the SE based on different parameters such as the rock mass properties, disc cutter dimensions and cutting geometry. The aim of this work is to propose new relations between the SE and the strain energy of rock mass (W) using the geological mappings of rock mass and TBM operational parameters from Amir-Kabir Water Transferring Tunnel of Iran. W is an appropriate criterion to estimate SE because it is a function of different parameters such as rock mass behavior, pre and post failure properties and peak and residual strains. In this study, to increase the correlation coefficient of relation between the mentioned parameters, the rock mass is classified in two methods, in the first method according to the geological strength index (GSI) all data is classified in three classes such as weak, fair and good and in the second method using the drop to deformation modulus ratio (η) the classification of data is performed in three classes such as η < 0.05, 0.05 ≤ η < 10 and η ≥ 10. The results show that there are direct relations between both parameters. It is suggested to estimate SE in all rock mass classes using the proposed relations based on GSI classification. © Springer International Publishing Switzerland 2017 |
| abstractGer |
Abstract The specific energy (SE) is the most important parameter to estimate the energy consumption in tunnel boring machines (TBMs). It is defined as the amount of required energy to excavate a unit volume of rock mass which used to predict the performance of TBMs. Several models are used to estimate the SE based on different parameters such as the rock mass properties, disc cutter dimensions and cutting geometry. The aim of this work is to propose new relations between the SE and the strain energy of rock mass (W) using the geological mappings of rock mass and TBM operational parameters from Amir-Kabir Water Transferring Tunnel of Iran. W is an appropriate criterion to estimate SE because it is a function of different parameters such as rock mass behavior, pre and post failure properties and peak and residual strains. In this study, to increase the correlation coefficient of relation between the mentioned parameters, the rock mass is classified in two methods, in the first method according to the geological strength index (GSI) all data is classified in three classes such as weak, fair and good and in the second method using the drop to deformation modulus ratio (η) the classification of data is performed in three classes such as η < 0.05, 0.05 ≤ η < 10 and η ≥ 10. The results show that there are direct relations between both parameters. It is suggested to estimate SE in all rock mass classes using the proposed relations based on GSI classification. © Springer International Publishing Switzerland 2017 |
| abstract_unstemmed |
Abstract The specific energy (SE) is the most important parameter to estimate the energy consumption in tunnel boring machines (TBMs). It is defined as the amount of required energy to excavate a unit volume of rock mass which used to predict the performance of TBMs. Several models are used to estimate the SE based on different parameters such as the rock mass properties, disc cutter dimensions and cutting geometry. The aim of this work is to propose new relations between the SE and the strain energy of rock mass (W) using the geological mappings of rock mass and TBM operational parameters from Amir-Kabir Water Transferring Tunnel of Iran. W is an appropriate criterion to estimate SE because it is a function of different parameters such as rock mass behavior, pre and post failure properties and peak and residual strains. In this study, to increase the correlation coefficient of relation between the mentioned parameters, the rock mass is classified in two methods, in the first method according to the geological strength index (GSI) all data is classified in three classes such as weak, fair and good and in the second method using the drop to deformation modulus ratio (η) the classification of data is performed in three classes such as η < 0.05, 0.05 ≤ η < 10 and η ≥ 10. The results show that there are direct relations between both parameters. It is suggested to estimate SE in all rock mass classes using the proposed relations based on GSI classification. © Springer International Publishing Switzerland 2017 |
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| title_short |
Estimation of the Specific Energy of TBM Using the Strain Energy of Rock Mass, Case Study: Amir-Kabir Water Transferring Tunnel of Iran |
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