Deep learning-based key-block classification framework for discontinuous rock slopes

Deep learning-based key-block classification framework for discontinuous rock slopes

The key-blocks are the main reason accounting for structural failure in discontinuous rock slopes, and automated identification of these block types is critical for evaluating the stability conditions. This paper presents a classification framework to categorize rock blocks based on the principles o...

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Bibliographic Details
Main Authors: Honghu Zhu, Mohammad Azarafza, Haluk Akgün
Format: Article
Language:English
Published: Elsevier 2022-08-01
Series:Journal of Rock Mechanics and Geotechnical Engineering
Subjects:
Block theory
Discontinuous rock slope
Deep learning
Convolutional neural network
Image-based classification
Online Access:http://www.sciencedirect.com/science/article/pii/S1674775522001366

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