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Erschienen in: Rock Mechanics and Rock Engineering 7/2020

21.03.2020 | Original Paper

Morphological Feature Description Method of Structural Surface in Borehole Image During In-Situ Instrumentation

verfasst von: Xianjian Zou, Chuanying Wang, Yiteng Wang, Huan Song

Erschienen in: Rock Mechanics and Rock Engineering | Ausgabe 7/2020

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Abstract

It is of great significance to obtain the high precise structural surface properties of rock mass during the process of deep geotechnical engineering investigation by in-situ instrumentation, especially for preventing disasters and reducing damages. To obtain more detailed features of the structural surface in the image obtained by digital panoramic borehole imaging technique, this paper describes and analyzes the morphological feature of structural surface in the borehole image during in-situ instrumentation, and the feature is used to describe joint roughness coefficient (JRC) and analyzed the anti-sliding ability of borehole rock mass. We use a digital panoramic borehole imaging system to obtain the camera image and related data of borehole rock mass, extract the profile line of structural surface in the image, analyze the dip direction and dip angle, and transform the circular profile line of structural surface into three-dimensional feature. Finally, the statistical parameters of three-dimensional feature from the profile lines in each direction are calculated and used to form a roughness coefficient rose diagram according to related JRC theory. Results show that the rose diagram can well describe the actual three-dimensional morphology of the structural surface and its anisotropy of borehole rock mass structures. This paper provides a novel way to describe the morphological feature of structural surface in borehole image and can be applied to determine the dominant anti-slip direction of rock structure, which can solve the difficulty of obtaining the morphological features and mechanical properties of structural surface in deep rock mass.

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Literatur
Zurück zum Zitat Alameda-Hernandez P, Jimenez-Peralvarez J, Palenzuela JA, El Hamdouni R, Irigaray C, Cabrerizo MA, Chacon J (2014) Improvement of the JRC calculation using different parameters obtained through a new survey method applied to rock discontinuities. Rock Mech Rock Eng 47:2047–2060. https://doi.org/10.1007/s00603-013-0532-2 CrossRef Alameda-Hernandez P, Jimenez-Peralvarez J, Palenzuela JA, El Hamdouni R, Irigaray C, Cabrerizo MA, Chacon J (2014) Improvement of the JRC calculation using different parameters obtained through a new survey method applied to rock discontinuities. Rock Mech Rock Eng 47:2047–2060. https://​doi.​org/​10.​1007/​s00603-013-0532-2 CrossRef
Zurück zum Zitat Assous S, Elkington P, Clark S, Whetton J (2013) Automated detection of planar geologic features in borehole images. Geophysics 79:D11–D19CrossRef Assous S, Elkington P, Clark S, Whetton J (2013) Automated detection of planar geologic features in borehole images. Geophysics 79:D11–D19CrossRef
Zurück zum Zitat Babanouri N, Nasab SK, Sarafrazi S (2013) A hybrid particle swarm optimization and multi-layer perceptron algorithm for bivariate fractal analysis of rock fractures roughness. Int J Rock Mech Min Sci 60:66–74CrossRef Babanouri N, Nasab SK, Sarafrazi S (2013) A hybrid particle swarm optimization and multi-layer perceptron algorithm for bivariate fractal analysis of rock fractures roughness. Int J Rock Mech Min Sci 60:66–74CrossRef
Zurück zum Zitat Bae D-s, Kim K-s, Koh Y-k, Kim J-y (2011) Characterization of joint roughness in granite by applying the scan circle technique to images from a borehole televiewer. Rock Mech Rock Eng 44:497–504CrossRef Bae D-s, Kim K-s, Koh Y-k, Kim J-y (2011) Characterization of joint roughness in granite by applying the scan circle technique to images from a borehole televiewer. Rock Mech Rock Eng 44:497–504CrossRef
Zurück zum Zitat Glossop K, Lisboa PJ, Russell PC, Siddans A, Jones GR (1999) An implementation of the Hough transformation for the identification and labelling of fixed period sinusoidal curves. Comput Vis Image Underst 74:96–100CrossRef Glossop K, Lisboa PJ, Russell PC, Siddans A, Jones GR (1999) An implementation of the Hough transformation for the identification and labelling of fixed period sinusoidal curves. Comput Vis Image Underst 74:96–100CrossRef
Zurück zum Zitat Mokrzycki W, Samko M (2012) Canny edge detection algorithm modification. In: Bolc L, Tadeusiewicz R, Chmielewski LJ, Wojciechowski K (eds) Computer vision and graphics. Springer, Berlin, Heidelberg, pp 533–540CrossRef Mokrzycki W, Samko M (2012) Canny edge detection algorithm modification. In: Bolc L, Tadeusiewicz R, Chmielewski LJ, Wojciechowski K (eds) Computer vision and graphics. Springer, Berlin, Heidelberg, pp 533–540CrossRef
Zurück zum Zitat Thapa BB, Hughett P, Karasaki K (1997) Semi-automatic analysis of rock fracture orientations from borehole wall images. Geophysics 62:129–137CrossRef Thapa BB, Hughett P, Karasaki K (1997) Semi-automatic analysis of rock fracture orientations from borehole wall images. Geophysics 62:129–137CrossRef
Zurück zum Zitat Wang JA, Xie H, Tian X (2000) Scale effect on fractal measurement of rock fracture surfaces. Chin J Rock Mech Eng 19:11–17 Wang JA, Xie H, Tian X (2000) Scale effect on fractal measurement of rock fracture surfaces. Chin J Rock Mech Eng 19:11–17
Zurück zum Zitat Wu J, Feng S, Li H (2011) Study of automatically extracting structural plane parameters from borehole images. Rock Soil Mech 32:951–957 Wu J, Feng S, Li H (2011) Study of automatically extracting structural plane parameters from borehole images. Rock Soil Mech 32:951–957
Zurück zum Zitat Xie H, Wang J-A, Stein E (1998) Direct fractal measurement and multifractal properties of fracture surfaces. Phys Lett A 242:41–50CrossRef Xie H, Wang J-A, Stein E (1998) Direct fractal measurement and multifractal properties of fracture surfaces. Phys Lett A 242:41–50CrossRef
Zurück zum Zitat Zhou H, Xie H (2003) Direct estimation of the fractal dimensions of a fracture surface of rock. Surf Rev Lett 10:751–762CrossRef Zhou H, Xie H (2003) Direct estimation of the fractal dimensions of a fracture surface of rock. Surf Rev Lett 10:751–762CrossRef
Zurück zum Zitat Zou X, Wang C, Han Z, Wang J, Wang Y, Song H (2017) Fully automatic identifying the structural planes with panoramic images of boreholes. Yanshilixue Yu Gongcheng Xuebao Chin J Rock Mech Eng 36:1910–1920 Zou X, Wang C, Han Z, Wang J, Wang Y, Song H (2017) Fully automatic identifying the structural planes with panoramic images of boreholes. Yanshilixue Yu Gongcheng Xuebao Chin J Rock Mech Eng 36:1910–1920
Metadaten
Titel
Morphological Feature Description Method of Structural Surface in Borehole Image During In-Situ Instrumentation
verfasst von
Xianjian Zou
Chuanying Wang
Yiteng Wang
Huan Song
Publikationsdatum
21.03.2020
Verlag
Springer Vienna
Erschienen in
Rock Mechanics and Rock Engineering / Ausgabe 7/2020
Print ISSN: 0723-2632
Elektronische ISSN: 1434-453X
DOI
https://doi.org/10.1007/s00603-020-02072-9

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