Personal Data

Joaquín IRAZÁBAL GONZÁLEZ

jirazabal@cimne.upc.edu

+34 91 319 13 59

Branch

Madrid


Office

MADRID


Address

Paseo Gral Martínez Campos, 41. Madrid.

28010, Madrid, Madrid, España

Professional Profile

RTD Group

Machine Learning in Civil Engineering

Position in CIMNE

Post Doc

Scopus ID

56823548200

ORCID

0000-0003-4966-4812

Researcher ID

C-8437-2015

Google Scholar

T08dTR4AAAAJ&hl

CV My professional career is mainly focused on the field of structural calculation using numerical methods. In November 2011 I started working at the International Center for Numerical Methods in Engineering (CIMNE) in Madrid developing research projects in Civil Engineering. The projects addressed the possibilities of using particle methods for the calculation of the behaviour of granular materials, by means of the Particle Finite Element Method (PFEM) and the Discrete Element Method (DEM). I am a member of the Kratos (Open-Source framework for the implementation of numerical methods for the solution of engineering problems written in C++ and Python) development team. Belonging to it I have learned that version control programs (Git) are essential for efficient collaboration. Between 2013 and 2015 I studied the Master of Numerical Methods in Engineering at the Technical University of Catalonia (UPC). Then I completed my PhD thesis entitled 'Numerical analysis of railway ballast behaviour using the Discrete Element Method', presented on 6 October 2017, also at the UPC. In the thesis, which was awarded the XVI Talgo Prize for Technological Innovation, the Discrete Element Method was applied to calculate the performance of railway ballasted tracks. Since 2019 I am Principal Investigator in the TRISTAN project whose purpose is to study dam safety based on reliability analysis using new computational tools. As a result of this project, I have started working with advanced statistical techniques such as Machine Learning.