Monday, May 20, 2024
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Lagrangian algorithms to simulate a flooding of Guanajuato's underground street

My name is Miguel Masó, PhD candidate in civil engineering at Centro Internacional de Métodos Numéricos en Ingeniería (CIMNE) in Barcelona, Spain. I am a Civil Engineer by the Universitat Politècnica de Catalunya (UPC) in Barcelona. Thanks to the Tri Continental Alliance in Numerical Methods applied to Natural Disasters (TCAiNMaND) project I had the opportunity to carry out a three month research stay in Centro de Investigaciones en Matemáticas (CIMAT) in Guanajuato, México, under the supervision of Prof. Salvador Botello.

 My research focuses on shallow water flows related to flooding phenomena and its interaction with structures. Along my stay I learned about numerical methods applied in engineering and Lagrangian algorithms to track particles along the streamlines which define the particles movement. The code in which I am working on is a module of the Kratos Multiphisics software, an Open-Source framework for building multi-disciplinary finite element programs. It is mainly written in C++. Kratos Multiphisics is developed at CIMNE.

During this stay I have tested the code with some benchmark tests and with a real simulation of Guanajuato. The simulation reproduces the flooding of the underground street (Miguel Hidalgo street) of Guanajuato which took place the evening of Wednesday 12th July. This simulation has been very useful to test the code and to get results that can be compared with a real phenomenon.

I also had the opportunity to learn a little of the Mexican culture. I enjoyed learning about this culture through the people and Guanajuato life, as well as through culture and museums. I made good friends and I had time to visit their cities with them, like León, México DF, Aguascalientes or Pátzcuaro. I hope to see them soon.

The stay have been very fruitful for my research and for the all the people I met in CIMAT. I thank the TCAiNMaND project managers and the people at CIMAT who received me and made possible this collaboration.

The research leading to these results has received funding from the European Community's Seventh Framework Programme, Marie Curie International Research Staff Exchange Scheme (IRSES) under grant agreement n° 612607
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