Maria Tauscher

Maria Tauscher (born Steiner), M.Sc.
Ph.D. Student

Office: Coudraystraße 13 b, Room 002
Email: maria.tauscher[at]uni-weimar.de
Phone: +49 3643 58 4219

Research areas

  • Predictive ability of engineering models by means of surrogate models
    • Methods: Polynomial Regression, Support Vector Regression, Artificial Neural Network, Kriging, …
  • Fault diagnosis in structural health monitoring systems

Research projects:

since 2017    Fault-tolerant sensor networks for wireless structural health monitoring
since 2014 Predictive ability of engineering models by means of surrogate models
2019-2020 Data-driven fault diagnosis in structural health monitoring systems for civil infrastructure (feasibility study)
2014-2017 Research Training Group 1462: Evaluation of Coupled Numerical and Experimental Partial Models in Structural Engineering

 

 

Publications

Journal publications

M. Steiner, J.-M. Bourinet, T. Lahmer, 2019: An adaptive sampling method for global sensitivity analysis based on least-squares support vector regression, Reliability Engineering and System Safety, Volume 183, Pages 323 - 340.

Dragos, K., Steiner, M., Zabel, V., Smarsly, K., 2018: Monitoringgestützte Analyse von Schwingungsdämpfern in Turmbauwerken, Bautechnik 95(6), S. 401-409.

M. F. Badawy, M. A. Msekh, K. M. Hamdia, M. Steiner, T. Rabczuk, 2017: Hybrid nonlinear surrogate models for fracture behavior of polymeric nanocomposites using phase field model, Journal of Probabilistic Engineering Mechanics (PREM), Volume 59, Pages 64 - 75.

Book publications

Fritz, H., Peralta, J., Legatiuk, D., Steiner, M., Dragos, K., & Smarsly, K., 2022. Fault diagnosis in structural health monitoring systems using signal processing and machine learning techniques. In: Cury, A., Ribeiro, D., Ubertini, F., Todd, M. D. (eds.). Structural health monitoring based on data science techniques. Pp. 143-164. Cham, Switzerland: Springer, DOI: 10.1007/978-3-030-81716-9_7

Steiner, M., Mirboland, M. & Theiler, M. (Hrsg.), 2018. Forum Bauinformatik 2018 - von jungen Forschenden für junge Forschende. Weimar: Professur Informatik im Bauwesen, Bauhaus-Universität Weimar, 19.09.2018.

Conference publications

Tauscher, M., Bendalla, A., & Chayeb, G., 2023. Fault Identification in Wireless Structural Health Monitoring Systems based on Fault Patterns. In: Tagungsband 34. Forum Bauinformatik. Bochum, 06. - 08.09.2023. DOI: 10.13154/294-10112.

Steiner, M., Legatiuk, D. & Smarsly, K., 2019. A support vector regression-based approach towards decentralized fault diagnosis in wireless structural health monitoring systems. In: The 12th International Workshop on Structural Health Monitoring (IWSHM). Stanford, CA, USA, 10.09.2019.

Steiner, M., Fritz, H., Thiebes, L. & Dragos, K., 2018. Fault diagnosis in wireless structural health monitoring systems based on support vector regression. In: 30. Forum Bauinformatik. Weimar, 19.09.2018.

Karimi, S., Mehrkian Jorshari, B., Mousazadeh, E., Steiner, M. & Dragos, K., 2018. Comparative study of experimentally tested tuned liquid column dampers. In: 30. Forum Bauinformatik. Weimar, 19.09.2018

Dragos, K., Steiner, M., Zabel, V. & Smarsly, K., 2018. Data-driven assessment of tuned mass dampers in tower structures. In: The 16th European Conference on Earthquake Engineering (ECEE). Thessaloniki, Griechenland, 18/06/2018.

Steiner, M.; Lahmer, T.; Bourinet, J.-M.: Investigation of a global adaptive sampling method based on least-squares support vector regression, Proceedings of the GRK International Workshop, Weimar, Germany, 2017

Khosravian, R.; Steiner, M.; Könke, C.: Parametric study on the effects of catenary cables and soil-structure interaction on dynamic behavior of pole structures using the finite elements method, Proceedings of the 7th International Conference on Computational Methods, Berkeley, CA, USA, 2016.

Steiner, M.; Khosravian, R.; Lahmer, T.: Quality of estimated sensitivity indices based on metamodels, Proceedings of the 13th international Probabilistic Workshop (IPW 2015), Liverpool, UK, 2015.

Steiner, M.; Khosravian, R.; Lahmer, T.: Best use of metamodels for data derived from civil engineering applications, Proceedings of the Fourth International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering, Prague, Czech Republic, 2015.

Teaching

Bachelor-Studiengang Bauingenieurwesen, Umweltingenieurwissenschaften und Management [BII]:

  • Geometrische Modellierung und technische Darstellung (winter term)
  • Informatik für Ingenieure (summer term) 

Bachelor/Master theses:

Supervision of theses is possible, among other things, in the areas of surrogate models, fault diagnosis, and sensor technology.