Konstantina Ntarladima

ESR 8:
Konstantina Ntarladima

I am from Greece where I completed my Master’s degree in Mechanical Engineering. My studies focus on mechanical systems, designing and analyzing dynamical structures using analytical and computational tools.
During my studies, I had the chance to get involved in the Systems Dynamic Laboratory. There, dealing with the problem of optimal experimental design, I deepened my knowledge on Bayesian Analysis and developed my skills on stochastic optimization methods. I was also familiarized with computational approaches such as Finite Element Analysis and Numerical Analysis for solving linear and non-linear problems. In my diploma thesis, I applied the Bayesian optimal sensor placement theory on an Epidemiology Network where the question was the optimal testing of a population. I realized the Network Design through code programming. Moreover, having to do with a time dependent problem I had to apply numerical techniques such as interpolation and numerical integration. Most importantly, I gained the experience of constructing a convenient software in Matlab environment.
After getting my degree I worked as a teacher of Applied Engineering in an Educational Training Institute. There I was teaching new technicians courses like Materials Science, Mechanics and Fluid Dynamics, all in a simplified way.
My passion for mechanics and mathematical modeling made me apply for the THREAD project. I feel that THREAD is an ideal training program for me as a researcher offering, at the same time, the opportunity to me to be creative and productive. The concept of working in a challenging scientific problem with industrial applications excites me. Last but not least, I am convinced that working in an international environment and collaborating with researchers of different disciplines will be a unique experience strengthening my knowledge and skills.


Host Institution
University of Innsbruck (Austria)
Supervisor

Description

The ESR develops efficient models for simulating mass points transported along ropes and cables taking into account the 3D contact with sheave batteries. The arbitrary Lagrangian-Eulerian (ALE) formulation shall be embedded into finite element formulations. Efficient computer implementations shall be realized in open source codes using Python and/or C++. The section properties of ropes and cables will be developed in cooperation with ESRs of work package 1.

Expected Results

The stationary treatment of the system with periodic excitation by the mass points shall lead to a better understanding of resonances and instabilities in transportation systems with highly flexible structures.

Secondments

planned at LEITNER (industrial partner), University of Rijeka, Faculty of Civil Engineering, Fraunhofer ITWM and Martin Luther University Halle-Wittenberg

associated with the Industrial Challenges

IC 2 Mechanical engineering
IC 9 Software development