Papers in Journals


Irazábal, J., Salazar, F., & Vicente, D.J. A methodology for calibrating parameters in discrete element models based on machine learning surrogates, Computational Particle Mechanics, 1-17, 2023.


Salazar, F., Hariri-Ardebili, M. A., Coupling machine learning and stochastic finite element to evaluate heterogeneous concrete infrastructure, Engineering Structures, Vol. 260, art. n. 114190, 2022

Silva-Cancino, N., Salazar, F., Sanz-Ramos, M., Bladé, E., A Machine Learning-Based Surrogate Model for the Identification of Risk Zones Due to Off-Stream Reservoir Failure, Water, Vol. 14 (15), art. n. 2416, 2022

Valera R.L., Irazábal, J., De Oliveira M., Muniz M., Castro M.A., Thompson Martínez R., Pena J., Moreno L.A., Recarey C.A., Oñate E., Development and coupling of numerical techniques for modeling micromechanical discrete and continuous media using real particle morphologies, Computational Particle Mechanics, 2022.


Caballero, F. J., Toledo, M. Á., Moran, R., San Mauro, J., Hydrodynamic Performance and Design Evolution of Wedge-Shaped Blocks for Dam Protection against Overtopping, Water, Vol. 13 (12), art. n. 1665, 22 p., 2021

Mata, J., Salazar, F., Barateiro, J., Antunes, A., Validation of Machine Learning Models for Structural Dam Behaviour Interpretation and Prediction, Water, Vol. 13 (19), art. n. 2717, 2021

Salazar, F., Conde, A., Irazábal, J., Vicente, D. J., Anomaly Detection in Dam Behaviour with Machine Learning Classification Models, Water, Vol. 13 (17), art. n. 2387, 22 p., 2021

Salazar F., Conde A., Vicente D.J., Identification of Dam Behavior by Means of Machine Learning Classification Models, Lecture Notes in Civil Engineering, Vol. 91, pp. 851-862, 2021

Salazar F., Kohler R., Conde A., Landstorfer F., Interpretation of Dam Monitoring Data Combining Visualisation Tools and Machine Learning. Eberlaste Dam Case Study, Lecture Notes in Civil Engineering, Vol. 91, pp. 863-874, 2021


Hariri-Ardebili, M. A., Salazar, F., Engaging soft computing in material and modeling uncertainty quantification of dam engineering problems, Soft Computing, Vol. 24 (15), pp. 11583-11604, 2020

Salazar, F., San-Mauro, J., Celigueta, M. Á., Oñate, E., Shockwaves in spillways with the particle finite element method, Computational Particle Mechanics, Vol. 7 (1), pp. 87-99, 2020

Salazar, F., Vicente, D. J., Irazábal, J., De-Pouplana, I., San Mauro, J., A Review on Thermo-Mechanical Modelling of Arch Dams During Construction and Operation: Effect of the Reference Temperature on the Stress Field, Archives of Computational Methods in Engineering, Vol. 27 (5), pp. 1681-1707, 2020

San Mauro, J., Salazar, F., Morán, R., Peraita, J., Toledo, M. Á., Flórez, Y. V., Aliviaderos con cajeros altamente convergentes. Una alternativa para la reconstrucción del aliviadero de emergencia de la presa de Oroville. Ribagua, Vol. 7 (1), pp. 12-27, 2020


Irazábal, J., Salazar, F., Santasusana, M., & Oñate, E.   Effect of the integration scheme on the rotation of non-spherical particles with the discrete element method.   Computational Particle Mechanics, pp. 1-15, 2019 

Salazar, F., & Crookston, B.   A Performance Comparison of Machine Learning Algorithms for Arced Labyrinth Spillways   Water, Vol. 11 (3), p. 544, 2019 

San Mauro, J., Toledo, M. Á., Salazar, F., Caballero, F. J., A methodology for the design of dam spillways with wedge shaped blocks based on numerical modeling, Revista internacional de métodos numéricos para cálculo y diseño en ingeniería, Vol. 35 (1), 2019.


Irazábal, J., Salazar, F., & Oñate, E.   Numerical modelling of granular materials with spherical discrete particles and the bounded rolling friction model. Application to railway ballast.   Computers and Geotechnics, Vol. 85, pp. 220-229, 2017 

Lezcano-Valverde, J. M., Salazar, F., León, L., Toledano, E., Jover, J. A., Fernandez-Gutierrez, B., Soudah, E., González-Álvaro, I., Abasolo, L., & Rodriguez-Rodriguez, L. Development and validation of a multivariate predictive model for rheumatoid arthritis mortality using a machine learning approach.   Scientific Reports, Vol. 7 (1), pp. 1-10, 2017 

Salazar, F., Morán, R., Toledo, M. Á., & Oñate, E.  Data-Based Models for the Prediction of Dam Behaviour: A Review and Some Methodological Considerations.   Archives of Computational Methods in Engineering, Vol. 24 (1), p. 1-21, 2017 

Salazar, F., San-Mauro, J., Celigueta, M. Á., & Oñate, E.   Air demand estimation in bottom outlets with the particle finite element method.   Computational Particle Mechanics, Vol. 4 (3), pp. 345-356, 2017 

Salazar, F., Toledo, M. Á., González, J. M., & Oñate, E.   Early detection of anomalies in dam performance: A methodology based on boosted regression trees.   Structural Control and Health Monitoring, Vol. 24 (11), e2012, 2017 

Vicente, D. J., San Mauro, J., Salazar, F., & Baena, C. M.  An Interactive Tool for Automatic Predimensioning and Numerical Modeling of Arch Dams.   Mathematical Problems in Engineering, pp. 1-12, 2017 


Salazar, F., Toledo, M. Á., Oñate, E., & Suárez, B   Interpretation of dam deformation and leakage with boosted regression trees.   Engineering Structures, Vol. 119, pp. 230-251, 2016 

Santasusana, M., Irazábal, J., Oñate, E., & Carbonell, J. M.   The Double Hierarchy Method. A parallel 3D contact method for the interaction of spherical particles with rigid FE boundaries using the DEM.   Computational Particle Mechanics, Vol. 3 (3), pp. 407-428, 2016 

Vicente, D. J., Garrote, L., Sánchez, R., & Santillán, D.   Pressure management in water distribution systems: Current status, proposals, and future trends.   Journal of Water Resources Planning and Management, Vol. 142 (2), 04015061, 2016 

Vicente, D. J., Rodríguez-Sinobas, L., Garrote, L., & Sánchez, R.   Application of the system of environmental economic accounting for water SEEAW to the Spanish part of the Duero basin: Lessons learned.   Science of the Total Environment, Vol. 563, pp. 61-622, 2016 


Salazar, F., Irazábal, J., Larese, A., & Oñate, E.   Numerical modelling of landslide‐generated waves with the particle finite element method (PFEM) and a non-Newtonian flow model.   International Journal for Numerical and Analytical Methods in Geomechanics, Vol. 40 (6), pp. 809-826, 2015 

Salazar, F., Toledo, M. A., Oñate, E., & Morán, R.   An empirical comparison of machine learning techniques for dam behaviour modelling.   Structural Safety, Vol. 56, pp. 9–17, 2015 


Santillán, D., Salete, E., Vicente, D. J., & Toledo, M. Á., Treatment of Solar Radiation by Spatial and Temporal Discretization for Modeling the Thermal Response of Arch Dams, Journal of Engineering Mechanics, Vol. 140 (11), art. n. 05014001, 2014


Salazar, F., Morán, R., Rossi, R., & Oñate, E.  Analysis of the discharge capacity of radial-gated spillways using CFD and ANN – Oliana Dam case study.   Journal of Hydraulic Research, Vol. 51 (3), pp. 244-252, 2013.