The Master's thesis focuses on exploring the potentials and challenges of the parametric approach in the preparation of finite element models. The aim of the thesis is to confirm the effectiveness of the parametric approach in the preparation of FE models for complex civil engineering structures, with a focus on the adaptability, precision, and repeatability of processes, as well as the potential for optimization and reduction of manual work. Using geometric modeling software such as Rhinoceros and Grasshopper, along with the analytical tool SOFiSTiK, various methods for efficiently generating and optimizing FE models were examined and analyzed. The parametric approach was applied by transforming a geometric model into an analytical model, and then into a numerical model, which enables accurate structural analysis. Optimization, in this context, is focused on improving the design process of structures and reducing the need for manual adjustments. Three practical examples are presented, illustrating the application of the parametric modeling in main tunnel tube and cross-passage inner lining intersection, tunnel portal structures, and anchoring of cast-in-place abutments into into an existing bridge abutment.
The results of the thesis confirm that the parametric approach significantly enhances the adaptability, precision, and efficiency in the preparation and analysis of structural models. The hypotheses established at the beginning of the thesis were confirmed; parametric modeling facilitates easy adjustment of geometry, design optimization, and reduction of manual labor. The thesis also highlights the importance of structured records that ensure traceability and control over the entire work process, which is crucial for the successful execution of complex construction projects. Finally, the thesis opens up possibilities for further research in the field of generative design, which promises even greater automation and optimization in engineering. The findings of the thesis will be valuable to engineers and researchers in the continued development of digitalized design and analysis methods in civil engineering, especially in managing complex projects.
|
