Fritz, Henrieke

Tagungsbeiträge, Zeitschriftenaufsätze, Monographien:

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, Deutschland, 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, Italien, 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, Deutschland, 19.09.2018.

Forschungsberichte:

Fritz, H., Koca, M., Hahn, O. & Smarsly, K. (2021). Durchführbarkeitsstudie zur datenbasierten Fehlerdiagnostik in Monitoringsystemen für Infrastrukturbauwerke (Dafmon). Schlussbericht zum mFUND-Forschungsvorhaben Nr. 45MF00022A.

Bachelor-Studiengang Bauingenieurwesen:

• Bauweisen des Konstruktiven Ingenieurbaus I – Teil Stahl- und Verbundbau I (Wintersemester)
• Projekt Konstruktiver Ingenieurbau (Wintersemester)
• Grundlagen des Konstruktiven Ingenieurbaus (Wintersemester)
• Bauweisen des Konstruktiven Ingenieurbaus II – Teil Stahl- und Verbundbau II (Sommersemester)
• Einführung in die Bauweisen des Konstruktiven Ingenieurbaus – Teil Stahlbau (Sommersemester)