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Rock Mechanics and Rock Engineering

Erschienen in:

15.09.2023 | Technical Note

Generating Stochastic Structural Planes by Considering Parameter Correlations Using Deep Generative Adversarial Networks

verfasst von: Han Meng, Gang Mei, Xiaoyu Qi, Nengxiong Xu, Jianbing Peng

Erschienen in: Rock Mechanics and Rock Engineering | Ausgabe 12/2023

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Highlights

Stochastic structural planes are generated by considering parameter correlations.
The probability distributions of the inclination and the dip angle of stochastic structural planes can be learned using deep neural networks.
The correction between the inclination and the dip angle can be automatically captured via deep learning.
The generated stochastic structural planes are consistent with the measured factual structural planes.

Vorheriger Artikel Dynamic Behaviour of Rock Joint During Shear Wave Propagation: The Influence of Joint Orientation

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Titel: Generating Stochastic Structural Planes by Considering Parameter Correlations Using Deep Generative Adversarial Networks
verfasst von: Han Meng
Gang Mei
Xiaoyu Qi
Nengxiong Xu
Jianbing Peng
Publikationsdatum: 15.09.2023
Verlag: Springer Vienna
Erschienen in: Rock Mechanics and Rock Engineering / Ausgabe 12/2023
Print ISSN: 0723-2632
Elektronische ISSN: 1434-453X
DOI: https://doi.org/10.1007/s00603-023-03553-3

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