Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/12334

TitleNumerical modeling of a large underground powerhouse using geomechanical parameters obtained by artificial intelligence techniques
Author(s)Miranda, Tiago F. S.
Correia, A. Gomes
Sousa, L. R.
Lima, Celso
KeywordsUndreground
Granite
Geomechanical parameters
Artificial intelligence
Modeling
numerical modelling
monitoring
Issue dateDec-2004
PublisherMillpress Science Publishers
CitationOHNISHI, Yuzo ; AOKI, Kenji, eds. – “Contribution of Rock Mechanics to the New Century : proceedings of the ISRM International Symposium, Third Asian Rock Mechanics Symposium, Kyoto, Japan, 2004.” Rotterdam : Millpress, 2004. ISBN 978-90-5966-020-5. p. 579-584.
Abstract(s)A large underground hydroelectric scheme is being built as a power reinforcement of an exis-tent scheme completed in 1951 and located in the North of Portugal. This new scheme includes important underground works such as hydraulic circuit with about 4.4km length and two caverns for the powerhouse complex. The rock mass is predominantly granite. The geomechanical parameters of these formations wereobtained through a software called GEOPAT based in artificial intelligence techniques. This software permitsto calculate the geomechanical parameters for underground structures in granite masses. Using the obtained parameters numerical models were developed for the behaviour analysis of the powerhouse complex. Thepredicted, numerical results are compared with the corresponding monitored values showing in general a good agreement.
TypeConference paper
URIhttp://hdl.handle.net/1822/12334
ISBN905966020X
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CEC-GEO - Comunicações a Conferências Internacionais

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