Papers

  • Luckey, D., Fritz, H., Legatiuk, D., Dragos, K., & Smarsly, K., 2020. Artificial intelligence techniques for smart city applications. In: The International ICCCBE and CIB W78 Joint Conference on Computing in Civil and Building Engineering 2020. Sao Paolo, Brasilien, 18.08.2020.

  • Smarsly, K., Peralta, P., Luckey, D., Heine, S., & Ludwig, H.-M., 2020. BIM-based concrete printing. In: The International ICCCBE and CIB W78 Joint Conference on Computing in Civil and Building Engineering 2020. Sao Paolo, Brasilien, 18.08.2020.

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

  • 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.

  • 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.

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

  • 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

  • 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.

  • 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.

  • 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), 59, S. 64 - 75.

  • M. Steiner, T. Lahmer, J.-M. Bourinet, 2017. Investigation of a global adaptive sampling method based on least-squares support vector regression. In: Proceedings of the GRK International Workshop, Weimar, Germany, 26.04.2017.

  • R. Khosravian, M. Steiner, C. Könke, 2016. Parametric Study on the Effects of Catenary Cables and Soil-Structure Interaction On Dynamic Behavior of Pole Structures Using the Finite Elements Method. In: Proceedings of the 7th International Conference on Computational Methods, Berkeley, CA, USA, 01.08.2016.

  • M. Steiner, R. Khosravian and T. Lahmer, 2015. Quality of Estimated Sensitivity Indices Based on Metamodels. In: Proceedings of the 13th international Probabilistic Workshop (IPW 2015), Liverpool, UK, 04.11.2015.

  • M. Steiner, R. Khosravian and T. Lahmer,2015. Best Use of Metamodels for Data Derived from Civil Engi-neering Applications. In: Proceedings of the Fourth International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering, Prague, Czech Republic, 01.09.2015.