Investigation of the Influence of an Excavation on Adjacent Excavations, Using Neural Networks
When an underground excavation is created near to an instrumented measuring location, deformation at the location increases. The characteristics of this deformation increase, as well as the duration of the influence caused by the adjacent excavation, is dependent on parameters such as opening geometry and measuring location. In this study, neural networks were applied to investigate the deformation increase and the influence of each parameter on the deformation change derived from extensometer measurements at the Waste Isolation Pilot Plant (WIPP) site in New Mexico, USA.
S. Kwon and J. W. Wilson, "Investigation of the Influence of an Excavation on Adjacent Excavations, Using Neural Networks," Journal of The South African Institute of Mining and Metallurgy, The Southern African Institute of Mining and Metallurgy, Jan 1998.
Mining and Nuclear Engineering
Article - Journal
© 1998 The Southern African Institute of Mining and Metallurgy, All rights reserved.
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