Biomechanics

Biomechanics applies engineering principles to study the mechanical behavior of biological systems. From musculoskeletal motion to cardiovascular deformation, it seeks to understand how structure and function interact under physiological and pathological conditions. Our research focuses on developing and validating computational models that integrate simulation, experimentation, and data-driven methods to improve prediction and personalization in biomechanics.

Contact: Ass.Prof. Gian Marco Melito gmelitonoSpam@tugraz.at

Ongoing projects

Musculoskeletal Modeling

Understanding the mechanics of the human body is essential for advancing biomechanics, rehabilitation engineering, and medical device design. Musculoskeletal modeling provides a computational framework to simulate the interaction between bones, muscles, and tendons, enabling the prediction of motion, forces, and physiological responses under various conditions. Despite major advances in recent years, key challenges remain in parameter identification, model validation, and the translation of simulations into clinical and experimental applications. Our research interest lies in improving the accuracy, efficiency, and interpretability of musculoskeletal simulations through the integration of advanced numerical methods, uncertainty quantification, and data-driven modeling approaches. By addressing these challenges, we aim to contribute to the development of robust tools that enhance understanding of human movement and support future applications in medicine, sports, and assistive technologies.


Completed projects

Mechanics, Modeling and Simulation of Aortic Dissection

The human body in general can be seen as an enormous source of uncertainty and complexity. Our understanding of the mechanisms behind aortic dissection and the aorta is therefore limited. Sensitivity analysis techniques reduce the unpredictability of model responses and in particular the disease mentioned above. By reducing the number of random variables in the computational phase, sensitivity analysis simplifies the diagnostic process and facilitates the development of patient-specific models. The project is being carried out as part of the GCCE, whereby several institutes are working on the modelling of aortic dissection. For further information, please refer to the project homepage.

Duration: 01.03.2018 - 01.03.2024

Contact: Ass.Prof. Gian Marco Melito gmelito@tugraz.at

Contact
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Institute of Mechanics
Kopernikusgasse 24/IV
8010 Graz

Tel.: +43 (0) 316 873 - 7141
ifmnoSpam@tugraz.at