martes, 3 de febrero de 2015


I proudly announce the conclusion of this very important part of my academic career.
The thesis passed with and Excellent Cum Laude today, 3rd February 2015, in the Universitat Politecnica de Catalunya.
 I would like to thank both my mentors Prof. Jaume Roset (UPC) and Prof. Vojko Kilar (University of Ljubjana), and all those that were with me all along...

Following is the abstract of the thesis:


This thesis explores a very well understood area of physics: computational structural dynamics. The aim is to stretch its boundaries by merging it with another very well established discipline such as structural design and optimization. In the recent past both of them have made significant advances, often unaware one of each other for different reasons. It is the aim of this thesis to serve as a bridging tool between the realms of physics and engineering.
The work in divided in three parts: variational mechanics, structural optimization and implementation.
The initial part deals with deterministic variational mechanics. Two chapters are dedicated to probe the applicability of energy functionals in the structural analysis. First, by mapping the state of the art regarding the vast field of numerical methods for structural dynamics; second, by using those functionals as a tool to compare the methods. It is shown how, once the methods are grouped according to the kind of differential equations they integrate, it is easy to establish a framework for benchmarking. Moreover, if this comparison is made using balance of energy the only parameter needed to observe is a relatively easy to obtain scalar value.
The second part, where structural optimization is treated, has also two chapters. In the first one the non-deterministic tools employed by structural designers are presented and examined. An important distinction between tools for optimization and tools for analysis is highlighted. In the following chapter, a framework for the objective characterization of structural systems is developed. This characterization is made on the basis of the thermodynamics and energetic characteristics of the system. Finally, it is successfully applied to drive a sample simulated annealing algorithm.
In the third part the resulting code employed in the numerical experiments is shown and explained. This code was developed by means of a visual programming environment and allows for the fast implementation of programs within a consolidated CAD application. It was used to interconnect simultaneously with other applications to seamlessly share simulation data and process it. Those applications were, respectively, a spreadsheet and a general purpose finite element.

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