Rock joint roughness determination method based on deep learning of time–frequency spectrogram-Reference-Cited by-同舟云学术

Rock joint roughness determination method based on deep learning of time–frequency spectrogram

Published:2023-01 Issue: Volume:117 Page:105505
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Zhang Huajin^ORCID,Wu Shunchuan,Zhang Zhongxin,Han Longqiang

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference33 articles.

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2. Modelling rock joint behavior from in situ block tests: implications for nuclear waste repository design;Barton,1982

3. The shear strength of rock joints in theory and practice;Barton;Rock Mech.,1977

4. Quantitative parameters for rock joint surface roughness;Belem;Rock Mech. Rock Eng.,2000

5. Combination of discontinuity characteristics and GIS for regional assessment of natural rock slopes in a mountainous area (NE Turkey);Bostanci;Catena,2018

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