Data-Driven Rock Strength Parameter Identification Using Artificial Bee Colony Algorithm

Data-Driven Rock Strength Parameter Identification Using Artificial Bee Colony Algorithm

Rock strength parameters are essential to understanding the rock failure mechanism and safely constructing rock excavation. It is a challenging problem for determining the rock failure criterion and its parameters due to the complexity of rock media. This study adopts an artificial bee colony (ABC)...

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Bibliographic Details
Main Authors: Meng Wang, Bingrui Chen, Hongbo Zhao
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Buildings
Subjects:
rock material
strength
test data
artificial bee colony
intelligent optimization
Online Access:https://www.mdpi.com/2075-5309/12/6/725

Internet

https://www.mdpi.com/2075-5309/12/6/725

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