David Santillán Sánchez

Technical University of Madrid
Department of Hydraulic, Energy and Environmental Engineering
Tel.: +34 91 3365261
E-mail address: david.santillan@upm.es

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David Santillan Sánchez

SCI Publications

D. Santillan, J. Fraile-Ardanuy, M.A. Toledo: Prediction of gauge readings of filtration in arch dams using artifical neural networks, Water Technology and Science. Vol 5, No 3, pp 81-96, 2014.

D. Santillán, L. Mediero, L. Garrote: Modelling uncertainty of flood quantile estimations at ungauged sites by Bayesian networks. Journal of Hydroinformatics doi: 10.2166/hydro.2013.065. Vol 16, No 4, 822-838, 2014.

L. Mediero, D. Santillán, L. Garrote, A. Granados: Detection and attribution of trends in magnitude, frequency and timing of floods in Spain. Journal of Hydrology doi: 10.1016/j.jhydrol.2014.06.040. Vol 517, 1072-1088, 2014.

D. Santillán, E. Salete, D.J. Vicente, M.A. Toledo: Treatment of solar radiation by spatial and temporal discretization for modeling the thermal response of arch dams. Journal of Engineering Mechanics-ASCE. Vol 140, No 11, 05014001, 2014. doi: 10.1061/(ASCE)EM.1943-889.0000801.

D. Santillán, E. Salete, M.A. Toledo, A. Granados: An improved 1D-model for computing the thermal behaviour of concrete dams during operation. Comparison with other approaches. Computers and Concrete, An international Journal. Vol 15, No 1, 103-106, 2015. doi: 10.12989/cac.2015.15.1.103.


Communications in international conferences

D. Santillán, J. Fraile-Ardanuy y M.A. Toledo: Dam seepage analysis based on artificial neural networks: the hysteresis phenomenon. IEEE International Joint Conference on Neural Networks 2013.

F.J. Martín-Carrasco, A. Granados, D. Santillán, y L. Mediero Continuous assessment in Civil Engineering education: Yes, but with some conditions. 6th International Conference on Computer Supported Education (CSEDU 2014).

D. Santillán, J. Fraile-Ardanuy y M.A. Toledo. Forecasting of dam flow-meter measurements using Artificial Neural Networks. Dam Maintenance and Rehabilitation II.

F.J. Riquelme, J. Fraile-Ardanuy, D. Santillán, R. Morán y M.A. Toledo. Application of artificial neural network models to the movement determination of a dam vault. Dam Maintenance and Rehabilitation II.


Research projects

Outlet capacity improvement of existing dams with labyrinth weirs and siphon weirs, Spanish Ministry of Environment, Rural and Marine Affairs (2008-2011).

SEPRISIS (Study of Dam Safety and Identification of Risk Scenarios through Intelligent Systems), Spanish Ministry of Environment, Rural and Marine Affairs (2008-2011).

iCOMPLEX (Development of the iCOMPLEX software for the control and assessment of the security of critical infrastructures), Spanish Ministry of Economy and Competitiveness (2008-2011).

BASE (Bottom-up Climate Adaptation Strategies Towards a Sustainable Europe), EC, 7th Framework Programme (2011-2013).