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Quantitative Characterization of the Roughness of Four Artificially Prepared Gravel Surfaces

  • Jie QinEmail author
  • Teng Wu
  • Deyu Zhong
Conference paper
  • 49 Downloads
Part of the GeoPlanet: Earth and Planetary Sciences book series (GEPS)

Abstract

Two-dimensional second-order structure functions (2DSSFs) have been widely used to investigate the roughness characteristics of gravel surfaces. Because of the complex patterns of the 2DSSFs, the interpretation of the 2DSSFs results remains challenging, and the explanations are mostly qualitative. Recently, a novel quantitative method for the description of the roughness of gravel-beds was proposed by Qin et al. (J Hydraul Res 57:90–106, 2019), which determines the statistical significance of structure functions based on Monte Carlo simulations. This new method is evaluated by four artificially prepared gravel surfaces to test the capability of the method in quantitatively differentiating predefined gravel structures. The four surfaces were prepared according to dissimilar arrangements of gravels and tried to represent gravel structures of different scales. The results successfully differentiated the roughness characteristics of the four surfaces and demonstrated the promising capability of the new method.

Keywords

Gravel surfaces Roughness scales Structure functions 

Notes

Acknowledgements

This work is supported by the National Key R&D Program of China (2016YFC0402506), the CRSRI Open Research Program (CKWV2019724/KY), and the Open Funding of the Key Laboratory of Port, Waterway and Sedimentation Engineering of Ministry of Transport (Yn918004).

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.College of Harbour, Coastal and Offshore Engineering, Hohai UniversityNanjingChina
  2. 2.Key Laboratory of Port, Waterway and Sedimentation Engineering of Ministry of TransportNanjingChina
  3. 3.State Key Laboratory of Hydroscience and EngineeringTsinghua UniversityBeijingChina

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