Many attempts have been made to predict unconfined compressive strength (UCS) of rocks using back-propagation (BP) artificial neural network (ANN). However, BP-ANN suffers from …
F Kong, Y Xue, J Shang, C Zhu, M Han, Z Qu… - … and Building Materials, 2024 - Elsevier
Uniaxial compressive strength (UCS) is of great importance for building stone. Index tests have been widely used to quickly predict UCS due to the cumbersome and expensive …
Guidelines for Open Pit Slope Design is a comprehensive account of the open pit slope design process. Created as an outcome of the Large Open Pit (LOP) project, an international …
The uniaxial compressive strength (UCS) is a vital rock geomechanical parameter widely used in rock engineering projects such as tunnels, dams, and rock slope stability. Since the …
Every engineering structure, whether it's a building, bridge or road, is affected by the ground on which it is built. Geology is of fundamental importance when deciding on the location and …
This paper provides compelling experimental evidence that the unconfined compressive strength of rocks can be reliably assessed from scratch tests performed with a sharp cutter …
Many studies have shown that artificial neural networks (ANNs) are useful for predicting the unconfined compressive strength (UCS) of rocks. However, ANNs do have some …
M Wang, W Wan - International Journal of Rock Mechanics and Mining …, 2019 - Elsevier
The uniaxial compressive strength (UCS) of rock is an important geotechnical parameter for engineering applications. However, how to determine the UCS simply and accurately has …