Wissenschaftlicher Mitarbeiter
Coudraystraße 13a, Raum 301
99423 Weimar
Telefon: +49 (0) 3643 / 58-4963
Email: mathias.artus[at]uni-weimar.de
Sprechzeiten: Mittwochs 13:30 - 15:30 Uhr
Artus, Mathias (2024). Modeling Damage Information for the Operation Phase of Bridges. Dissertation at the Bauhaus-Universtität Weimar. Weimar, Germany. DOI: https://doi.org/10.25643/dbt.62532
Mirboland, Mahsa; Schuler, Paul-Christian; Artus, Mathias; Koch, Christian (2024). Integrating inspection data from non-destructive tests on in-service infrastructure into OpenBIM data models. Proceedings of the 20th International Conference on Computing in Civil and Building Engineering (ICCCBE 2024). Date: 25.08. - 28.08.2024, Montréal, Canada. doi:
Osman, Ammar; Artus, Mathias; Alsaad, Hayder; Koch, Christian; Voelker, Conrad (2023). Assessing Thermoelectric Radiative Cooling Partition as a Personalised Comfort System Using Empirical Experiments Enhanced by Digital Shadow Visualisation in Building and Environment DOI: 10.1016/j.buildenv.2023.110833
Schickert, Martin; Artus, Mathias; Koch, Christian (2022). Integration and Visualization of NDE Data in Digital Building Models - A conceptual view at International Symposium Non-Destructive Testing in Civil Engineering.
Artus, Mathias; Schickert, Martin; Lai, Jason; Koch, Christian (2022). Integration of Wave-Based Non-Destructive Survey Results into BIM Models in Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering. doi: 10.7146/aul.455.c221
Artus, Mathias; Mohamed Said Helmy Alabassy; Koch, Christian (2022). A BIM Based Framework for Damage Segmentation, Modeling, and Visualization Using IFC. In: Applied Sciences 12(6). doi: 10.3390/app12062772
Artus, Mathias; Koch, Christian; König, Markus (2021) Datenmodellierung. In: Borrmann, André; König, Markus; Koch, Christian; Beetz, Jakob (eds.) (2021). Building Information Modeling - Technologische Grundlagen und Industrielle Praxis. 2nd Edition, Springer Vieweg (Wiesbaden). https://doi.org/10.1007/978-3-658-33361-4_3
Artus, Mathias (2021). Modeling Physical Damage Information at Concrete Bridges Considering Time Aspects in 32. Forum Bauinformatik 2021. 9.-10.09.2021. Darmstadt, Germany. p. 150-156.
Artus, Mathias; Alabassy, Mohamed Said Helmy; Koch, Christian (2021). IFC based Framework for Generating, Modeling and Visualizing Spalling Defect Geometries. 28th International Workshop on Intelligent Computing in Engineering (p. 176-186). Date: 30.06. - 02.07.2021, Berlin, best paper award.
Schickert, Martin; Artus, Mathias; Lai, Jason; Kremp, Felix (2021). Integration und Visualisierung von Zustandsdaten in digitalen Bauwerksmodellen - Konzepte und Realisierungen, Fachkongress Digitale Transformation im Lebenszyklus der Verkehrsinfrastruktur, 29.06. - 30.06.2021, S. 381 - 389
Artus, Mathias; Koch, Christian (2020). State of the art in damage information modeling for RC bridges – A literature review. Advanced Engineering Informatics 46.
Artus, Mathias; Koch, Christian (2020). Modeling Physical Damages Using the Industry Foundation Classes – A Software Evaluation. Proceedings of the 18th International Conference on Computing in Civil and Building Engineering.
Artus, Mathias; Koch, Christian (2020). Modeling Geometry and Semantics of Physical Damages using IFC. 27th International Workshop on Intelligent Computing in Engineering.
Artus, Mathias; Koch, Christian (2019). State of the Art in Damage Information Modeling for Bridges. In: Proc. of the 26th EG-ICE International Workshop on Intelligent Computing in Engineering. Leuven. Belgium.
Kremp, Felix; Artus, Mathias (2019). Evaluation of Sensor-Based Registration Accuracy using Head Mounted Augmented Reality Devices. In: Ungureanu, L.-C..; Böger L.; Bindal-Gutsche C. (Ed.): Forum Bauinformatik 2019. Berlin: Blueprint, S. 225-232.
Artus, Mathias (2018). Konzept eines Digital Twins für Gebäude unter Verwendung von Smart Home Elementen. In: Steiner, M.; Theiler, M.; Mirboland M. (Ed.): Forum Bauinformatik 2018. Weimar: Blueprint, S. 121-128.
Lehre
Simulation Methods
MATLAB introduction
OO Modeling and Programming
Wissenschaftliches Arbeiten in der Ingenieurinformatik
In diesem Kurs werden praktische Fähigkeiten für das wissenschaftliche Arbeiten vermittelt. Dazu gehören allgemeine Konzepte zur Organisation und Strukturierung, Validierung und Bewertung von Theoremen sowie die Dokumentation der Arbeit. Der Kurs wird vom Lehrstuhl für Informatik im Bauwesen in Zusammenarbeit mit uns unterrichtet. Weitere Informationen finden Sie hier.