Investigation of the effects of nonstationary features on rock joint roughness using the laser scanning technique
Abstract Accurately estimating rock joint roughness is crucial for understanding the shear mechanism and permeability behavior of a rock mass. Several influencing factors, including anisotropy, measurement noise, and the scale effect and sampling interval, have been considered. However, little atten...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Ge, Yunfeng [verfasserIn] |
|---|
| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer-Verlag GmbH Germany, part of Springer Nature 2020 |
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| Übergeordnetes Werk: |
Enthalten in: Bulletin of engineering geology and the environment - Springer Berlin Heidelberg, 1998, 79(2020), 6 vom: 04. März, Seite 3163-3174 |
|---|---|
| Übergeordnetes Werk: |
volume:79 ; year:2020 ; number:6 ; day:04 ; month:03 ; pages:3163-3174 |
| Links: |
|---|
| DOI / URN: |
10.1007/s10064-020-01754-6 |
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OLC2118396066 |
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| 520 | |a Abstract Accurately estimating rock joint roughness is crucial for understanding the shear mechanism and permeability behavior of a rock mass. Several influencing factors, including anisotropy, measurement noise, and the scale effect and sampling interval, have been considered. However, little attention is paid to the influences of nonstationary features on the roughness assessment. In this study, a portable laser scanner was employed to collect high-density 3D point clouds of ten natural rock joint specimens. Based on two parameters, namely, the bright area percentage (BAP) and θ*max/(C + 1), where θ*max is the maximum apparent dip angle and C is a dimensionless fitting parameter, the rock joint roughness was determined before and after removing nonstationary features, and a comparison showed that nonstationary features have a considerable influence on the roughness. Subsequently, an approach was proposed to remove nonstationary features through the conversion of spatial coordinates, and an application to a roughness evaluation illustrated that similar trends are observed between the BAP and θ*max/(C + 1) with respect to the point clouds of ten rock joints whose nonstationary features were removed. These findings reveal that nonstationary features should be removed to improve the accuracy and comparability of the roughness assessments. | ||
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10.1007/s10064-020-01754-6 doi (DE-627)OLC2118396066 (DE-He213)s10064-020-01754-6-p DE-627 ger DE-627 rakwb eng 550 600 VZ Ge, Yunfeng verfasserin aut Investigation of the effects of nonstationary features on rock joint roughness using the laser scanning technique 2020 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2020 Abstract Accurately estimating rock joint roughness is crucial for understanding the shear mechanism and permeability behavior of a rock mass. Several influencing factors, including anisotropy, measurement noise, and the scale effect and sampling interval, have been considered. However, little attention is paid to the influences of nonstationary features on the roughness assessment. In this study, a portable laser scanner was employed to collect high-density 3D point clouds of ten natural rock joint specimens. Based on two parameters, namely, the bright area percentage (BAP) and θ*max/(C + 1), where θ*max is the maximum apparent dip angle and C is a dimensionless fitting parameter, the rock joint roughness was determined before and after removing nonstationary features, and a comparison showed that nonstationary features have a considerable influence on the roughness. Subsequently, an approach was proposed to remove nonstationary features through the conversion of spatial coordinates, and an application to a roughness evaluation illustrated that similar trends are observed between the BAP and θ*max/(C + 1) with respect to the point clouds of ten rock joints whose nonstationary features were removed. These findings reveal that nonstationary features should be removed to improve the accuracy and comparability of the roughness assessments. Rock joint Roughness estimation Nonstationary features 3D laser scanning Lin, Zishan aut Tang, Huiming aut Zhao, Binbin aut Chen, Hongzhi aut Xie, Zhiguo aut Du, Bin aut Enthalten in Bulletin of engineering geology and the environment Springer Berlin Heidelberg, 1998 79(2020), 6 vom: 04. März, Seite 3163-3174 (DE-627)24891880X (DE-600)1444574-8 (DE-576)068745818 1435-9529 nnns volume:79 year:2020 number:6 day:04 month:03 pages:3163-3174 https://doi.org/10.1007/s10064-020-01754-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_267 GBV_ILN_2018 GBV_ILN_4277 AR 79 2020 6 04 03 3163-3174 |
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10.1007/s10064-020-01754-6 doi (DE-627)OLC2118396066 (DE-He213)s10064-020-01754-6-p DE-627 ger DE-627 rakwb eng 550 600 VZ Ge, Yunfeng verfasserin aut Investigation of the effects of nonstationary features on rock joint roughness using the laser scanning technique 2020 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2020 Abstract Accurately estimating rock joint roughness is crucial for understanding the shear mechanism and permeability behavior of a rock mass. Several influencing factors, including anisotropy, measurement noise, and the scale effect and sampling interval, have been considered. However, little attention is paid to the influences of nonstationary features on the roughness assessment. In this study, a portable laser scanner was employed to collect high-density 3D point clouds of ten natural rock joint specimens. Based on two parameters, namely, the bright area percentage (BAP) and θ*max/(C + 1), where θ*max is the maximum apparent dip angle and C is a dimensionless fitting parameter, the rock joint roughness was determined before and after removing nonstationary features, and a comparison showed that nonstationary features have a considerable influence on the roughness. Subsequently, an approach was proposed to remove nonstationary features through the conversion of spatial coordinates, and an application to a roughness evaluation illustrated that similar trends are observed between the BAP and θ*max/(C + 1) with respect to the point clouds of ten rock joints whose nonstationary features were removed. These findings reveal that nonstationary features should be removed to improve the accuracy and comparability of the roughness assessments. Rock joint Roughness estimation Nonstationary features 3D laser scanning Lin, Zishan aut Tang, Huiming aut Zhao, Binbin aut Chen, Hongzhi aut Xie, Zhiguo aut Du, Bin aut Enthalten in Bulletin of engineering geology and the environment Springer Berlin Heidelberg, 1998 79(2020), 6 vom: 04. März, Seite 3163-3174 (DE-627)24891880X (DE-600)1444574-8 (DE-576)068745818 1435-9529 nnns volume:79 year:2020 number:6 day:04 month:03 pages:3163-3174 https://doi.org/10.1007/s10064-020-01754-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_267 GBV_ILN_2018 GBV_ILN_4277 AR 79 2020 6 04 03 3163-3174 |
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10.1007/s10064-020-01754-6 doi (DE-627)OLC2118396066 (DE-He213)s10064-020-01754-6-p DE-627 ger DE-627 rakwb eng 550 600 VZ Ge, Yunfeng verfasserin aut Investigation of the effects of nonstationary features on rock joint roughness using the laser scanning technique 2020 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2020 Abstract Accurately estimating rock joint roughness is crucial for understanding the shear mechanism and permeability behavior of a rock mass. Several influencing factors, including anisotropy, measurement noise, and the scale effect and sampling interval, have been considered. However, little attention is paid to the influences of nonstationary features on the roughness assessment. In this study, a portable laser scanner was employed to collect high-density 3D point clouds of ten natural rock joint specimens. Based on two parameters, namely, the bright area percentage (BAP) and θ*max/(C + 1), where θ*max is the maximum apparent dip angle and C is a dimensionless fitting parameter, the rock joint roughness was determined before and after removing nonstationary features, and a comparison showed that nonstationary features have a considerable influence on the roughness. Subsequently, an approach was proposed to remove nonstationary features through the conversion of spatial coordinates, and an application to a roughness evaluation illustrated that similar trends are observed between the BAP and θ*max/(C + 1) with respect to the point clouds of ten rock joints whose nonstationary features were removed. These findings reveal that nonstationary features should be removed to improve the accuracy and comparability of the roughness assessments. Rock joint Roughness estimation Nonstationary features 3D laser scanning Lin, Zishan aut Tang, Huiming aut Zhao, Binbin aut Chen, Hongzhi aut Xie, Zhiguo aut Du, Bin aut Enthalten in Bulletin of engineering geology and the environment Springer Berlin Heidelberg, 1998 79(2020), 6 vom: 04. März, Seite 3163-3174 (DE-627)24891880X (DE-600)1444574-8 (DE-576)068745818 1435-9529 nnns volume:79 year:2020 number:6 day:04 month:03 pages:3163-3174 https://doi.org/10.1007/s10064-020-01754-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_267 GBV_ILN_2018 GBV_ILN_4277 AR 79 2020 6 04 03 3163-3174 |
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10.1007/s10064-020-01754-6 doi (DE-627)OLC2118396066 (DE-He213)s10064-020-01754-6-p DE-627 ger DE-627 rakwb eng 550 600 VZ Ge, Yunfeng verfasserin aut Investigation of the effects of nonstationary features on rock joint roughness using the laser scanning technique 2020 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2020 Abstract Accurately estimating rock joint roughness is crucial for understanding the shear mechanism and permeability behavior of a rock mass. Several influencing factors, including anisotropy, measurement noise, and the scale effect and sampling interval, have been considered. However, little attention is paid to the influences of nonstationary features on the roughness assessment. In this study, a portable laser scanner was employed to collect high-density 3D point clouds of ten natural rock joint specimens. Based on two parameters, namely, the bright area percentage (BAP) and θ*max/(C + 1), where θ*max is the maximum apparent dip angle and C is a dimensionless fitting parameter, the rock joint roughness was determined before and after removing nonstationary features, and a comparison showed that nonstationary features have a considerable influence on the roughness. Subsequently, an approach was proposed to remove nonstationary features through the conversion of spatial coordinates, and an application to a roughness evaluation illustrated that similar trends are observed between the BAP and θ*max/(C + 1) with respect to the point clouds of ten rock joints whose nonstationary features were removed. These findings reveal that nonstationary features should be removed to improve the accuracy and comparability of the roughness assessments. Rock joint Roughness estimation Nonstationary features 3D laser scanning Lin, Zishan aut Tang, Huiming aut Zhao, Binbin aut Chen, Hongzhi aut Xie, Zhiguo aut Du, Bin aut Enthalten in Bulletin of engineering geology and the environment Springer Berlin Heidelberg, 1998 79(2020), 6 vom: 04. März, Seite 3163-3174 (DE-627)24891880X (DE-600)1444574-8 (DE-576)068745818 1435-9529 nnns volume:79 year:2020 number:6 day:04 month:03 pages:3163-3174 https://doi.org/10.1007/s10064-020-01754-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_267 GBV_ILN_2018 GBV_ILN_4277 AR 79 2020 6 04 03 3163-3174 |
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Investigation of the effects of nonstationary features on rock joint roughness using the laser scanning technique |
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| title_full |
Investigation of the effects of nonstationary features on rock joint roughness using the laser scanning technique |
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Ge, Yunfeng |
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Bulletin of engineering geology and the environment |
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Bulletin of engineering geology and the environment |
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eng |
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2020 |
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Ge, Yunfeng Lin, Zishan Tang, Huiming Zhao, Binbin Chen, Hongzhi Xie, Zhiguo Du, Bin |
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79 |
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550 600 VZ |
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Ge, Yunfeng |
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10.1007/s10064-020-01754-6 |
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550 600 |
| title_sort |
investigation of the effects of nonstationary features on rock joint roughness using the laser scanning technique |
| title_auth |
Investigation of the effects of nonstationary features on rock joint roughness using the laser scanning technique |
| abstract |
Abstract Accurately estimating rock joint roughness is crucial for understanding the shear mechanism and permeability behavior of a rock mass. Several influencing factors, including anisotropy, measurement noise, and the scale effect and sampling interval, have been considered. However, little attention is paid to the influences of nonstationary features on the roughness assessment. In this study, a portable laser scanner was employed to collect high-density 3D point clouds of ten natural rock joint specimens. Based on two parameters, namely, the bright area percentage (BAP) and θ*max/(C + 1), where θ*max is the maximum apparent dip angle and C is a dimensionless fitting parameter, the rock joint roughness was determined before and after removing nonstationary features, and a comparison showed that nonstationary features have a considerable influence on the roughness. Subsequently, an approach was proposed to remove nonstationary features through the conversion of spatial coordinates, and an application to a roughness evaluation illustrated that similar trends are observed between the BAP and θ*max/(C + 1) with respect to the point clouds of ten rock joints whose nonstationary features were removed. These findings reveal that nonstationary features should be removed to improve the accuracy and comparability of the roughness assessments. © Springer-Verlag GmbH Germany, part of Springer Nature 2020 |
| abstractGer |
Abstract Accurately estimating rock joint roughness is crucial for understanding the shear mechanism and permeability behavior of a rock mass. Several influencing factors, including anisotropy, measurement noise, and the scale effect and sampling interval, have been considered. However, little attention is paid to the influences of nonstationary features on the roughness assessment. In this study, a portable laser scanner was employed to collect high-density 3D point clouds of ten natural rock joint specimens. Based on two parameters, namely, the bright area percentage (BAP) and θ*max/(C + 1), where θ*max is the maximum apparent dip angle and C is a dimensionless fitting parameter, the rock joint roughness was determined before and after removing nonstationary features, and a comparison showed that nonstationary features have a considerable influence on the roughness. Subsequently, an approach was proposed to remove nonstationary features through the conversion of spatial coordinates, and an application to a roughness evaluation illustrated that similar trends are observed between the BAP and θ*max/(C + 1) with respect to the point clouds of ten rock joints whose nonstationary features were removed. These findings reveal that nonstationary features should be removed to improve the accuracy and comparability of the roughness assessments. © Springer-Verlag GmbH Germany, part of Springer Nature 2020 |
| abstract_unstemmed |
Abstract Accurately estimating rock joint roughness is crucial for understanding the shear mechanism and permeability behavior of a rock mass. Several influencing factors, including anisotropy, measurement noise, and the scale effect and sampling interval, have been considered. However, little attention is paid to the influences of nonstationary features on the roughness assessment. In this study, a portable laser scanner was employed to collect high-density 3D point clouds of ten natural rock joint specimens. Based on two parameters, namely, the bright area percentage (BAP) and θ*max/(C + 1), where θ*max is the maximum apparent dip angle and C is a dimensionless fitting parameter, the rock joint roughness was determined before and after removing nonstationary features, and a comparison showed that nonstationary features have a considerable influence on the roughness. Subsequently, an approach was proposed to remove nonstationary features through the conversion of spatial coordinates, and an application to a roughness evaluation illustrated that similar trends are observed between the BAP and θ*max/(C + 1) with respect to the point clouds of ten rock joints whose nonstationary features were removed. These findings reveal that nonstationary features should be removed to improve the accuracy and comparability of the roughness assessments. © Springer-Verlag GmbH Germany, part of Springer Nature 2020 |
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6 |
| title_short |
Investigation of the effects of nonstationary features on rock joint roughness using the laser scanning technique |
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https://doi.org/10.1007/s10064-020-01754-6 |
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Lin, Zishan Tang, Huiming Zhao, Binbin Chen, Hongzhi Xie, Zhiguo Du, Bin |
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