Gunther Steenackers was born on January 18th 1977 in Vilvoorde, Belgium. He received the degree in Electro-Mechanical Engineering from the Vrije Universiteit Brussel (VUB) in July 2000. From 2000 to 2004 he worked as an industrial project engineer for the company ‘LMS International’, Interleuvenlaan 68, B-3001 Leuven.
In 2004 he rejoined VUB to perform PhD research in the Acoustics and Vibration Research Group and received his PhD in 2008 entitled "Finite Element Model Updating and Optimization of Mechanical Systems Making Use of Regressive Techniques.".
Since 2012 he joined the Artesis University College and Antwerp University where he is currently a professor teaching mechanics and computer-aided engineering courses with research focus on optimization of mechanical models, numerical and finite element modelling.

PhD research

Doctoraat in de Ingenieurswetenschappen, Vrije Universiteit Brussel, mei 2008
"Finite Element Model Updating and Optimization of Mechanical Systems Making Use of Regressive Techniques."

My doctoral thesis is concerned with the finite element updating and optimization of structures based on measured frequency response or modal data.  The aim of the thesis is to identify the unknown physical parameters of structures by fitting its initial finite element model to the experimental data and performing optimization runs in an efficient way in order to reduce calculation times.  The core of the thesis consists in the development and application of a regressive finite element updating and optimization method, capable of reducing optimization times drastically. The specific issues regarding the optimization problem such as the definition of the objective function, the parameter selection and weighting factors are discussed.  As the regressive approach can handle FE updating problems as well as optimization problems, some applications on structural design optimization are presented. Complementary to the research performed in the field of so-called deterministic optimization, also an indication is given to quantify the uncertainty on the FE model output with respect to the uncertainty on the (input) design parameters. The research concentrates on different optimal and robust design techniques in combination with response surface modelling.

Expertise and application domains:

- Computer-aided Design and Engineering
- Optimization of numerical models and reponse surface modeling
- finite element modeling and updating
- Vibration tesing and IR thermography inspection
- System identification