Publikationen

Teilprojekt D01

Winnewisser, N. R., Salomon, J., Broggi, M., & Beer, M. (2023). The concept of diagonal approximated signature: new surrogate modeling approach for continuous-state systems in the context of resilience optimization. Disaster Prevention and Resilience, 2(2), N-A. https://www.researchgate.net/publication/370389582

Winnewisser, N. R., Salomon, J., Broggi, M., & Beer, M. (2023) The Concept of Diagonal Approximated Signature: New Surrogate Modeling Approach for Continuous-State Systems. In ASCE Inspire 2023 (pp. 258-266).https://ascelibrary.org/doi/10.1061/9780784485163.031 

Winnewisser, N. R., Salomon, J., Shi, Y., Broggi, M., & Beer, M. (2024) Generalizing The Diagonal Approximated Signature To Systems With Multiple Component Types.http://surl.li/wtqssd 

Salomon, J., Behrensdorf, J., Winnewisser, N., Broggi, M., & Beer, M. (2022). Multidimensional resilience decision-making for complex and substructured systems. Resilient Cities and Structures, 1(3), 61-78.https://www.sciencedirect.com/science/article/pii/S2772741622000333 

Winnewisser, N., Mett, F., Beer, M., Kosheleva, O., & Kreinovich, V. (2024). Using Known Relation Between Quantities to Make Measurements More Accurate and More Reliable.https://scholarworks.utep.edu/cs_techrep/1876/ 

Winnewisser, N., Beer, M., Kosheleva, O., & Kreinovich, V. (2024). Somewhat Surprisingly,(Subjective) Fuzzy Technique Can Help to Better Combine Measurement Results and Expert Estimates into a Model with Guaranteed Accuracy: Digital Twins and Beyond. https://scholarworks.utep.edu/cs_techrep/1867/ 

Winnewisser, N. R., Kreinovich, V., & Kosheleva, O. (2024). From Quantifying and Propagating Uncertainty to Quantifying and Propagating Both Uncertainty and Reliability: Practice-Motivated Approach to Measurement Planning and Data Processing.https://scholarworks.utep.edu/cgi/viewcontent.cgi?article=2848&context=cs_techrep 

WINNEWISSER, N. R., POTTHAST, T., METT, F., PERIN, A., BROGGI, M., & BEER, M. (2024) How to Be Certain: Using Known Relations and Trust Discount to Determine Confidence About the Degree of Uncertainty.https://www.ndt.net/article/ewshm2024/papers/299_manuscript.pdf 

EWSHM 2024 - SPP100+ Special Session

Carlos Chillon Geck, Thamer Al-Zuriqat, Moayed Elmoursi, Kosmas Dragos, and Kay Smarsly: "AIoT-enabled decentralized sensor fault diagnosis for structural health monitoring." EWSHM 2024, 11th European Workshop on Structural Health Monitoring, Potsdam, Germany, June 10-13, 2024. Link: https://www.ndt.net/article/ewshm2024/papers/147_manuscript.pdf 

Kay Smarsly, Patricia Peralta, Kosmas Dragos, Muhammad E. Ahmad, Thamer Al-Zuriqat, Carlos Chillon Geck, and Heba Al-Nasser: "A multivocal literature review of digital twins, architectures, and elements in civil engineering." EWSHM 2024, 11th European Workshop on Structural Health Monitoring, Potsdam, Germany, June 10-13, 2024 Link: https://www.ndt.net/article/ewshm2024/papers/150_manuscript.pdf

Chongjie Kang, Jan-Hauke Bartels, Chris Voigt, Steffen Marx: "Extending Structure Life via Intelligent Digitization: the Nibelungen Bridge as a Pilot Project." EWSHM 2024, 11th European Workshop on Structural Health Monitoring, Potsdam, Germany, June 10-13, 2024. Link: https://www.ndt.net/article/ewshm2024/papers/151_manuscript.pdf

Bjarne Sprenger, Martina Schnellenbach-Held: "Sensitivity Analysis of Model Parameters in a Nonlinear Model-Updating Approach for Prestressed Concrete Bridges." EWSHM 2024, 11th European Workshop on Structural Health Monitoring, Potsdam, Germany, June 10-13, 2024. Link: https://www.ndt.net/article/ewshm2024/papers/157_manuscript.pdf

Philipp Kähler, Yuri Petryna: "Application of artificial neural networks for indirect load measurements on bridges from vibration measurements." EWSHM 2024, 11th European Workshop on Structural Health Monitoring, Potsdam, Germany, June 10-13, 2024. Link: https://www.ndt.net/article/ewshm2024/papers/179_manuscript.pdf

Aeneas Paul, David Sanio, Peter Mark: "Monitoring tendon breaks in concrete structures at different depths using distributed fiber optical sensors." EWSHM 2024, 11th European Workshop on Structural Health Monitoring, Potsdam, Germany, June 10-13, 2024. Link: https://www.ndt.net/article/ewshm2024/papers/189_manuscript.pdf 

Maximilian Rohrer, Max Moeller, Armin Lenzen: "Experimental vibration-based output-only damage localization of mechanical systems." EWSHM 2024, 11th European Workshop on Structural Health Monitoring, Potsdam, Germany, June 10-13, 2024. Link: https://www.ndt.net/article/ewshm2024/papers/210_manuscript.pdf 

Max Moeller, Maximilian Rohrer, Armin Lenzen: "System Identification based on the Cross Gramian." EWSHM 2024, 11th European Workshop on Structural Health Monitoring, Potsdam, Germany, June 10-13, 2024. Link: https://www.ndt.net/article/ewshm2024/papers/216_manuscript.pdf 

Cedric Eisermann, Chris Voigt, Steffen Marx, Chongjie Kang: "The Initial Structural Health Monitoring System of the Nibelungen Bridge Worms." EWSHM 2024, 11th European Workshop on Structural Health Monitoring, Potsdam, Germany, June 10-13, 2024. Link: https://www.ndt.net/article/ewshm2024/papers/228_manuscript.pdf 

Niklas R. Winnewisser, Thomas Potthast, Felix Mett, Andrea Perin, Matteo Broggi, Michael Beer: "How to Be Certain: Using Known Relations and Trust Discount to Determine Confidence About the Degree of Uncertainty." EWSHM 2024, 11th European Workshop on Structural Health Monitoring, Potsdam, Germany, June 10-13, 2024. Link: https://www.ndt.net/article/ewshm2024/papers/299_manuscript.pdf 

Christoph Brenner, Klaus Thiele, Julian Unglaub: "Constraints of local stiffness adaption for reduced-order models of large-scale steel bridges." EWSHM 2024, 11th European Workshop on Structural Health Monitoring, Potsdam, Germany, June 10-13, 2024. Link: https://www.ndt.net/article/ewshm2024/papers/532_manuscript.pdf 

Jan Backhaus, Vanessa de Arriba López, Mehdi Maboudi, Ulf Bestmann, Markus Gerke: "Combining UAV-based photogrammetry and structured light scanning to support the structural health monitoring of concrete structures." EWSHM 2024, 11th European Workshop on Structural Health Monitoring, Potsdam, Germany, June 10-13, 2024. Link: https://www.ndt.net/article/ewshm2024/papers/714_manuscript.pdf 

Ralf Herrmann, Eshwar Kumar Ramasetti, Sebastian Degener, Falk Hille, Matthias Bäßler: "A Living Lab for Structural Health Monitoring at the Nibelungen Bridge Worms for Transfer Learning of Structural Dynamics." EWSHM 2024, 11th European Workshop on Structural Health Monitoring, Potsdam, Germany, June 10-13, 2024. Link: https://www.ndt.net/article/ewshm2024/papers/80_manuscript.pdf 

Teilprojekt D02

A. Göbels, J. Beetz: Relative Location Ontology: An ontological model for representing directional topological relationships between spatial entities in oriented space :Linked Data in Architecture and Construction LDAC 2024, Bochum, Germany, 13 Jun 2024 - 14 Jun 2024 91-104 (2024). Link: https://linkedbuildingdata.net/ldac2024/files/papers/LDAC2024_Camera_9.pdf

O. Schulz, J. Beetz:Aligning openCDE APIs with Linked Building Data through Constrained Containers in Common Data Environments :Linked Data in Architecture and Construction LDAC 2024, Bochum, Germany, 13 Jun 2024 - 14 Jun 2024  105-117 (2024). Link: https://linkedbuildingdata.net/ldac2024/files/papers/LDAC2024_Camera_10.pdf

Project Z

Kang, C.; Voigt, C.; Eisermann, C.; Kerkeni, N.; Hegger, J.; Hermann, W.; Jackmuth, A.; Marzahn, G.; Marx, S.: Die Nibelungenbrücke als Pilotprojekt der digital unterstützten Bauwerkserhaltung. Bautechnik, 2024.
DOI: 10.1002/bate.202300089

Bartels, J.; Xu, R.; Kang, C.; Herrmann, R.; Marx, S.: Experimental Investigation on the Transfer Behavior and Environmental Influences of Low-Noise Integrated Electronic Piezoelectric Acceleration Sensors, Metrology, Feb. 2024, S. 46-65.
DOI: 10.3390/metrology4010004

Teilprojekt C03 | E03

A. Lenzen, M. Moeller and M. Rohrer, „Monitoring an der Floßgrabenbrücke in Zeitz-Experimente zur Systemidentifikation,“ in Berichte der Fachtagung "Baustatik - Baupraxis 15" , 04. und 05. März 2024, Hamburg, 2024.
ISBN: 978-3-00-077808-7. S. 491-498

Teilprojekt A01

Vassilev, H., Laska, M., & Blankenbach, J. (2024). Uncertainty-aware point cloud segmentation for infrastructure projects using Bayesian deep learning. Automation in Construction, 164, 105419. 
DOI: 10.1016/j.autcon.2024.105419