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Data-based models for the prediction of dam behaviour: a review and some methodological considerations

Autor
Salazar, F.; Morán, R.; Toledo, M. A.; Oñate, E.
Tipus d'activitat
Article en revista
Revista
Archives of computational methods in engineering
Data de publicació
2017-01
Volum
24
Número
1
Pàgina inicial
1
Pàgina final
21
DOI
https://doi.org/10.1007/s11831-015-9157-9 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/101357 Obrir en finestra nova
URL
http://link.springer.com/article/10.1007%2Fs11831-015-9157-9 Obrir en finestra nova
Resum
Predictive models are an important element in dam safety analysis. They provide an estimate of the dam response faced with a given load combination, which can be compared with the actual measurements to draw conclusions about dam safety. In addition to numerical finite element models, statistical models based on monitoring data have been used for decades for this purpose. In particular, the hydrostatic-season-time method is fully implemented in engineering practice, although some limitations hav...
Citació
Salazar, F., Morán, R., Toledo, M. A., Oñate, E. Data-based models for the prediction of dam behaviour: a review and some methodological considerations. "Archives of computational methods in engineering", Gener 2017, vol. 24, núm. 1, p. 1-21.
Paraules clau
Behaviour models, Dam monitoring, Dam safety, Data analysis, Machine learning, Statistical models
Grup de recerca
(MC)2 - UPC Mecànica de Medis Continus i Computacional
GMNE - Grup de Mètodes Numèrics en Enginyeria

Participants