M. Sc. Henrieke Fritz
Research Assistant
Marienstr. 13 D, Room 207
Tel.: +49 (0) 36 43 / 58 44 36
Mail: henrieke.fritz[at]uni-weimar.de
ResearchGate: here (opens external Link)
Consultation hours by appointment
Research Interests
- Building with Renewable Ressources (Focus: Bamboo Construction)
- Adaptive Structures in Structural Engineering
- Structural Health Monitoring
- Data Processing Techniques (Machine Learning Methods, Processing- and Analysis of Sensor Data)
Publications
Conference and Journal Articles:
Fritz, H., Kraus, M. (2023). Statistical Evaluation of Geometric Variations of Italian Phyllostachys Edulis. In: Proceedings of the 19th International Conference on Non-Conventional Materials and Technologies (NOCMAT 2023). Joao Pessoa, Brazil, 06.11.23.
Fritz, H., Kraus, M. (2023). Influences of Geometrical Imperfections on the Buckling Behavior of Slender Bamboo Culms. In: Proceedings of the 5th International Conference on Bio-Based Building Materials (ICBBM 2023). Vienna, Austria, 21.06.23.
Fritz, H., Walther, C., Kraus, M. (2022). Piezoresistive Sensor Matrix for Adaptive Structures. In: Proceedings of The Eighth International Conference on Structural Engineering, Mechanics and Computation (SEMC 2022). Cape Town, South Africa, 06.09.2022.
Fritz, H., Kraus, M. (2022). Machine Learning Approach for Stress Analyses of Steel Members Affected by Elastic Shear Lag. In: Proceedings of The Eighth International Conference on Structural Engineering, Mechanics and Computation (SEMC 2022), Cape Town, South Africa, 07.09.2022.
Fritz, H., Walther, C. & Kraus, M. (2022). Piezoresistive Sensors for Monitoring Actions on Structures. In: Proceedings of the European Workshop on Structural Health Monitoring (EWSHM). Palermo, Sizilien, 06.07.2022.
Fritz, H., Peralta, J., Legatiuk, D., Steiner, M., Dragos, K., & Smarsly, K. (2021): Fault diagnosis in structural health monitoring systems using signal processing and machine learning techniques. In: Cury, A., Ribeiro, D., Ubertini, F., Todd, M. D. (Hrsg.). Structural health monitoring based on data science techniques. Heidelberg, Deutschland: Springer.
Luckey, D., Fritz, H., Legatiuk, D., Peralta, J., Walther, C., & Smarsly, K. (2021): Explainable artificial intelligence to advance structural health monitoring. In: Cury, A., Ribeiro, D., Ubertini, F., Todd, M. D. (Hrsg.). Structural health monitoring based on data science techniques. Heidelberg, Deutschland: Springer.
Peralta, J., Fritz, H., Dadoulis, G., Dragos, K., & Smarsly, K. (2021): Automated decision making in structural health monitoring using explainable artificial intelligence. In: Proceedings of the 28th International Workshop on Intelligent Computing in Engineering (EG-ICE). Berlin, Germany, 30.06.2021.
Peralta, J., Fritz, H., Dadoulis, G., & Dragos, K. (2021): An explainable artificial intelligence approach for damage detection in structural health monitoring. In: Proceedings of the 32nd Forum Bauinformatik. Darmstadt, Deutschland, 30.09.2021.
Peralta, J., Fritz, H., Dragos, K., & Smarsly, K. (2021): Sensor fault diagnosis coupling deep learning and wavelet transforms. In: Proceedings of the 13th International Workshop on Structural Health Monitoring (IWSHM). Stanford, CA, USA, 03/15/2022 (eingereicht).
Fritz, H. & Smarsly, K. (2020): A state-of-the-art review of nature-inspired systems for smart structures. In: Proceedings of the European Workshop on Structural Health Monitoring (EWSHM). Palermo, Italy, 07.06.2020.
Luckey, D., Fritz, H., Legatiuk, D., Dragos, K., & Smarsly, K. (2020): Artificial intelligence techniques for smart city applications. In: Proceedings of the International ICCCBE and CIB W78 Joint Conference on Computing in Civil and Building Engineering 2020. Sao Paolo, Brasilien, 18.08.2020.
Steiner, M., Fritz, H., Thiebes, L. & Dragos, K. (2018). Fault diagnosis in wireless structural health monitoring systems based on support vector regression. In: Proceedings of the 30th Forum Bauinformatik. Weimar, Germany, 19.09.2018.
Research Reports:
Fritz, H., Koca, M., Hahn, O. & Smarsly, K. (2021). Durchführbarkeitsstudie zur datenbasierten Fehlerdiagnostik in Monitoringsystemen für Infrastrukturbauwerke (Dafmon). Schlussbericht zum mFUND-Forschungsvorhaben Nr. 45MF00022A.
Teaching
Current Teaching Activities in Bachelor Civil Engineering:
- Structural Engineering Methods I - Part: Steel and Composite Construction I (Winter semester)
- Structural Engineering Project (Winter semester)
- Fundamentals of Structural Engineering (Winter semester)
- Structural Engineering Methods II - Part: Steel and Composite Construction II (Summer semester)
- Introduction to Structural Engineering Methods - Part: Steel Construction (Summer semester)
Former Teaching Activities in Bachelor Civil Engineering:
- Building Informatics – Part: Introduction to Programming with Java
- Geometric Modelling – Part: Computer Aided Design