Scipedia: Javier San Mauro's friends

David J. Vicente

Fri, 27 May 2016 11:16:53 +0200

David J. Vicente received the Bachelor's Degree, and subsequently the Master's Degree, in Civil Engineering from the Technical University of Madrid in 2009 and 2011, respectively, both specialising in Hydraulics. In 2017 he presented his thesis 'Design of pressure management operations in water distribution districts and analysis of their impact' with 'Excellent Cum Laude' qualification.

He has worked on multiple research projects, being his fields of expertise the application of numerical modelling and Machine Learning-based models to different areas of Hydraulic and Environmental Engineering: “Water Distribution Systems: modelling, pressure management and leakage management”, “Dam Engineering: geometric design, thermo-mechanical modelling”, “Prediction of water quality parameters and optimization of advanced treatments” and “Air quality forecasting”.

He is currently working for CIMNE (since October 2015), in the department of “Machine Learning in Civil Engineering” where he is involved in research, technical development (programming) and proposal development at national and European level. He is author or co-author of 9 articles in scientific journals and a book chapter as well as 25 contributions to conference proceedings. He is the creator of the 'AULA ETSI UPM-CIMNE', through which he collaborates with UPM in research and development of R+D+i projects, direction of Master's Thesis and Doctoral Thesis and teaching of classes

Fernando Salazar

Fri, 27 May 2016 09:34:32 +0200

Fernando Salazar received the Degree on Civil Engineering from the Technical University of Madrid in 2002, specializing in Hydraulics. He has worked in several dam and hydraulic projects, as well as in the development of emergency plans and hazard-potential classification of dams (being Mequinenza and Riba-Roja, in the Ebro river, among them). He is working for CIMNE since 2009, where he is the current Project Development Director.

He obtained his PhD at the UPC in 2017, qualified as Excellent Cum Laude. It focused on the application of machine learning techniques to dam monitoring data analysis. In this field, he was winner of an International Challenge organized by Verbund, the greatest hydropower company in Austria.

He has been involved in several research projects in the fields of hydraulics, dam engineering and dam safety. He is author or co-author of 15 papers in scientific journals, and around 50 contributions in conference proceedings.

Ignasi de-Pouplana

Tue, 27 Feb 2018 16:09:45 +0100

Ignasi de Pouplana Sardà is a Civil Engineer by the Technical University of Catalonia (UPC) since 2014. He is also a Master in Structural & Construction Engineering and a Ph.D. in Structural Analysis by the same university since 2015 and 2018, respectively.
His research career started in 2012 at the International Centre for Numerical Methods in Engineering (CIMNE) when, in the context of the Civil Engineering bachelor thesis, he worked on the implementation and validation of a new code of the Discrete Element Method (DEM). In 2014 he started working on continuum damage mechanics in the field of the Finite Element Method (FEM), and developed a new approach for the failure analysis of quasi-brittle materials by combining non-local damage models with adaptive mesh refinement techniques.
He developed the Ph.D. with the research focused on fluid-structure interaction in porous and fractured media. Topics of major interest included: stable analysis of the fluid flux in porous media, fracture of the solid matrix driven by the fluid pressure, and adaptivity of the mesh to propagate fractures in the porous domain by using non-local damage models along with quasi-zero-thickness interface elements.
In the last years he has participated at CIMNE in various research projects and contracts with industry applied to different engineering problems, e.g. monitoring of stresses during the construction process of concrete arch dams, optimization of drill bit geometries for Particle Impact Drilling (PID) technology, prediction of the final stress state of metallic pieces during casting processes, quantification of sand production in well completions, and prediction of NO2 concentration in urban areas, to name a few. Such an experience has been accompanied by the publication of more than 10 JCR articles and the supervision of 2 PhD theses.
Ignasi is currently an assistant professor at the Department of Strength of Materials and Structural Engineering (RMEE) in UPC, participating in several courses related to structural analysis and strength of materials in the Barcelona East School of Engineering (EEBE).
His research is now focused on the extension of the interface elements formulation for different contact applications, and the generalization of the poromechanics solver presented in his PhD thesis for multiphase flows. The main objective behind such a work will be the development of a new software for the simulation of CO2 storage process.

Joaquín Irazábal González

Mon, 27 Jun 2016 13:36:07 +0200

My professional career is being developed mainly in the field of calculation of structures using numerical methods.

Since November 2011 I work in the International Centre for Numerical Methods in Engineering (CIMNE) in Madrid developing research projects in Civil Engineering. The projects focus on the possibilities of using particle methods for the calculation of the behaviour of granular materials, specifically, the Particle Finite Element Method (PFEM) and the Discrete Element Method (DEM).

During my years at the CIMNE I studied the Master of Numerical Methods in Engineering at the Polytechnic University of Catalonia (UPC) and my PhD thesis entitled "Numerical analysis of railway ballast behaviour using the Discrete Element Method", presented on October 6, 2017, also at the UPC. The thesis, awarded the XVI Talgo Prize for Technological Innovation, was focused on the application of the Discrete Elements Method to the calculation of the behaviour of railway ballast.

León Morera González

Tue, 28 Jun 2016 11:15:46 +0200

Ricardo Alves

Tue, 28 Jun 2016 11:26:28 +0200