Veröffentlichungen

2024

  • Grünewald, J., Prudlik, R., Holla, V., Kopp, P., Off, R. Stoll, T., Kollmannsberger, S.,
    Wudy, K.
    Generating brick-like melt pools for Laser-Based Powder Bed Fusion using flexible beam shaping: a proof of concept on bead-on-plate single tracks
    doi.org/10.1016/j.procir.2024.08.216

  • De Biasi, R., Oztoprak, O., Zanini, F., Carmignato, S., Kollmannsberger, S.,
    Benedetti, M.
    Predicting fatigue life of additively manufactured lattice structures using the image-based Finite Cell Method and average strain energy density
    https://doi.org/10.1016/j.matdes.2024.113321

  • Herrmann, L., Daneshyar, A., Kollmannsberger, S, 
    The discontinuous strain method: accurately representing fatique and failure
    https://doi.org/10.1007/s00466-024-02526-9

  • Singh, D. S., Herrmann, L., Sun Q., Bürchner, T., Dietrich, F., Kollmannsberger, S.,
    Accelerating Full Waveform Inversion By Transfer Learning,
    https://doi.org/10.48550/arXiv.2408.00695

  • Henkes, A., Herrmann, L., Wessels, H., Kollmannsberger, S., 
    Generative adversarial networks enable outlier detection and property monitoring for additive manufacturing of complex structures, Volume 136, Part B, doi.org/10.1016/j.engappai.2024.108993

  • Herrmann, L., Sigmund, O., Muning Li, V., Kollmannsberger, S.,
    (preprint auf arXivs), Neural Networks for Generating Better Local Optima in Topology Optimization, https://doi.org/10.48550/arXiv.2407.17957

  • Meßmer, M., Asl, R. Najian, Kollmannsberger, S., Wüchner, R., Bletzinger, K.-U., Shape Optimization of embedded solids using implicit Vertex-Morphing, Computer Methods in Applied Mechanics and Engineering Volume 426 https://doi.org/10.1016/j.cma.2024.116999

  • Faßbender, C., Bürchner, T., Kopp, P., Rank, E., Kollmannsberger, S. Implicit-explicit time integration for the immersed wave equation, Computers & Mathematics with Applications Volume 163, (2024), Pages 1-13. doi.org/10.1016/j.camwa.2024.02.049

  • Daneshyar, A., Kollmannsberger, S. On the radial discretization in the frequency-domain SBFEM: Recovering inner-subdomain solutions, Computer Methods in Applied Mechanics and Engineering 422 (2024) 116836. doi.org/10.1016/j.cma.2024.116836.
  • Tauscher, H., Heigener, D., Krishnakumar, S., Graichen, T., Schmidt, R., Richter, J. (2024). IFC Georeferencing for OSM. In: Kolbe, T.H., Donaubauer, A., Beil, C. (eds) Recent Advances in 3D Geoinformation Science. 3DGeoInfo 2023. Lecture Notes in Geoinformation and Cartography. Springer, Cham. doi.org/10.1007/978-3-031-43699-4_12

2023

  • 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.

  • Krishnakumar, S., Tauscher, H., 2023.  Floor plan extraction from digital building models. In: Proceedings of FOSSGIS 2023, Berlin, Germany, 15.-18.03.2023. DOI: 10.5281/zenodo.7576205.

2022

  • Tauscher, H., Wong K. W., 2022. A Testbed for Applying Operationalized Graph Grammars to Sustainability Analysis in Integrated BIM-GIS Scenarios. In: Proc. of the 17th 3D GeoInfo Conference in Conjunction with 3D Cadastres. Sydney, Australia, 19.-21.10.2022. DOI: 10.5194/isprs-archives-XLVIII-4-W4-2022-147-2022.
  • Tauscher, H., 2022. Analysis and Effective Use of Inverse Relation Attributes in IFC. In: Proc. 14th European Conference on Product and Process Modelling (ECPPM). Trondheim, Norway, 14.-16.09.2022.
  • Tauscher, H., Krishnakumar, S., & Heigener, D., 2022. Floor plan extraction from digital building models. In: Proceedings of the Academic Track at State of the Map 2022, Florence, Italy, 19-21.08.2022, pp. 58-61. DOI: 10.5281/zenodo.7004633.

  • Burse, B., Doycheva, K., Aicher, A., Walther, C., 2022. Evaluation of low-cost microcontroller-based electronic systems for simple sensor node applications. In: Proceedings of the 2022 European Conference on Computing in Construction. Rhodes, Greece, 24.-26.06.2022. DOI: 10.35490/EC3.2022.191.

2021

  • 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

  • Luckey, D., Fritz, H., Legatiuk, D., Peralta, J., Walther, C., & Smarsly, K., 2022. Explainable artificial intelligence to advance structural health monitoring. In: Cury, A., Ribeiro, D., Ubertini, F., Todd, M. D. (eds.). Structural health monitoring based on data science techniques. Pp. 331-346. Cham, Switzerland: Springer, DOID: 10.1007/978-3-030-81716-9_16

2020

  • 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.

2019

  • 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.

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.

  • 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.

  • Doycheva, K., Koch, C., König, M. (2018) Computer vision and deep learning for real-time pavement distress detection. Advances in Informatics and Computing in Civil and Construction Engineering, Springer, pp. 601–607

2017

  • 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.

  • Doycheva, K., Koch, C., König, M. (2017) GPU-enabled pavement distress image classification in real time. Journal of Computing in Civil Engineering, 31(3)

  • 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.

2016

  • 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.

  • Doycheva, K., Koch, C., König, M. (2016) Implementing Textural Features on GPUs for Improved Real-time Pavement Distress Detection. Journal of Real-time Image Processing, pp. 1-12

  • Doycheva, K., Horn, G., Koch, C. König, M., Schumann, A. (2016) Assessment and weighting of meteorological ensemble forecast members based on supervised machine learning with application to run-off simulations and flood warning. Advanced Engineering Informatics, 33, pp. 427-43

  • Doycheva, K., Koch, C., König, M. (2016) Implementing Haralick Features on GPU for Pavement Distress Detection. 16th International Conference on Computing in Civil and Building Engineering, Osaka, Japan, pp. 1575-1582

2015

  • 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.

  • Koch, C., Georgieva, K., Kasireddy, V., Akinci, B., Fieguth, P. (2015) A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure. Advanced Engineering Informatics, 29(2), pp. 196-210

  • Vakavchiev, V., Doycheva, K. (2015) GPU-enabled shadow removal on pavement images. Forum Bauinformatik 2015, Aachen, Germany, pp.158-165

  • Doycheva, K., Seckin, Z. (2015) Dichtebasierte Clusteranalyse zur Georeferenzierung von Strassenschäden (A density-based cluster analysis for georeferencing road pavement distress). Forum Bauinformatik 2015, Aachen, Germany, pp.166-174

  • Georgieva, K., Horn, G., Koch, C., Schumann, A., König, M. (2015) Automated assessment of members in meteorological ensemble forecasts based on supervised machine learning. Proc. of the 22nd EG-ICE International Workshop, Eindhoven, Netherlands

  • Georgieva, K., Koch, C., König, M. (2015) Wavelet transform on Multi-GPU for real-time pavement distress detection. ASCE International Workshop on Computing in Civil Engineering, Austin, USA, pp. 99-106

2014

  • Smarsly, K., Georgieva, K., König, M. (2014) An Internet-enabled wireless multi-sensor system for continuous monitoring of landslide processes. International Journal of Engineering and Technology, 6(6), pp. 520-529

  • Georgieva, K. (2014). Multi-GPU enabled wavelet analysis for real-time pavement distress detection. Forum Bauinformatik 2014, Darmstadt, Germany

2013

  • Georgieva, K., Gadzhanov, P. (2013) Parameter identification for simulating debris flows using cellular automata. Forum Bauinformatik 2013, Munich, Germany, pp. 203-214

2012

  • Georgieva, K., Smarsly, K., König, M., Law, K. H. (2012). An Autonomous Landslide Monitoring System based on Wireless Sensor Networks. ASCE International Conference on Computing in Civil Engineering, Clearwater Beach, USA, pp.145-152

  • Smarsly, K., Georgieva, K., König, M., Law, K. H. (2012). Monitoring of Slope Movements coupling Autonomous Wireless Sensor Networks and Web Services. The First International Conference on Performance-Based Life-Cycle Structural Engineering, Hong Kong, China, pp. 1096-1102

2010

  • Hegemann, F., Georgieva, K. , Smarsly, K. (2010). Entwicklung eines Agenten-basierten hybriden Systems zur verteilten Bauwerksüberwachung (Development of an agent-based hybrid system for distributed infrastructure monitoring). Forum Bauinformatik 2010, Berlin, Germany, pp. 79-86