Publikationen

Koordinationsprojekt und gemeinsame Publikationen

Koordinationsprojekt

Bartels, J.; Xu, R.; Kang, C.; Herrmann, R.; Marx, S.: Experimental Investigation on the Transfer Behaviour and Environmental Influences of Low-Noise Integrated Electronic Piezoelectric Acceleration Sensors. Metrology (2024), 4, 46–65.

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) 101, 2, p. 76-86, 11 p. DOI: 10.1002/bate.202300089

Kang, C.; Wedel, F.; Walker, M.; Marx, S: Advancements in Digital Twin Development for Bridges in Germany, fib-symposium 2024 ReConStruct, 11-13 November 2024, Christchurch, New Zealand, S 10. (accepted)

Kang, C.; Walker, M.; Marx, S.: Advances of Digital Twins in Bridge Structures Maintenance. SMAR 2024 – 7th International Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures, 4-6. September 2024, Salerno, Italy, S 8.

Kang, C.; Eisermann, C.; Ramasetti, E. K.; Degener, S.; Marzahn, G.; Herrmann, R.: Collaborative Structural Health Monitoring of the 70-year-old Nibelungen Bridge: a key part of its intelligent digital maintenance strategy. Structural Health Monitoring, 2025 (under review)

Kang, C.; Bartels, J.; Voigt, C.; Marx, S.: Extending Structure Life via Intelligent Digitization: The Nibelungen Bridge as a Pilot Project. EWSHM 2024: 11th European Workshop on Structural Health Monitoring, 10 June 2024 in Potsdam, Germany, 10 S.

Aqlan, S.; Hamdam, A.; Marx, S.; Kang, C.: Ontology-Driven Database for Integrating Bridge Data from Multiple Open Sources, 2025 European Conference on Computing in Construction, Porto, 2025 (ACCEPTED)

Gemeinsame Publikationen

Becks, H., Lippold, L., Winkler, P., Moeller, M., Rohrer, M., Leusmann, T., Anton, D., Sprenger, B., Kähler, P., Rudenko, I., Arcones, D. A., Koutsourelakis, P.-S., Unger, J. F., Weiser, M., Petryna, Y., Schnellenbach-Held, M., Lowke, D., Wessels, H., Lenzen, A.,…Hegger, J. (2024). Neuartige Konzepte für die Zustandsüberwachung und -analyse von Brückenbauwerken – Einblicke in das Forschungsvorhaben SPP100+/Novel Concepts for the Condition Monitoring and Analysis of Bridge Structures – Insights into the SPP100+ Research Project. Bauingenieur, 99(10), 327-338. https://doi.org/10.37544/0005-6650-2024-10-63

Kellner, M., Vassilev, H., Busch, A., Blaskow, R., Ferrandon Cervantes, M., Poku-Agyemang, K. N., Schmitt, A., Weisbrich, S., Maas, H.-G., Neitzel, F., Reiterer, A., & Blankenbach, J. (2024). Scan2BIM – A Review on the Automated Creation of Semantic-Aware Geometric as-is Models of Bridges. Avn – Allgemeine Vermessungs-Nachrichten, 3, 159–181. https://doi.org/10.14627/avn.2024.3.4

Rohrer M, Backhaus J, Bestmann U, De Arriba López V, Diaz PA, Gerke M, et al. Experimental studies on multi-scale data-driven methods within the framework of structural health monitoring. Civil Engineering Design. 2025. https://doi.org/10.1002/cend.202400036

Kang, C.; Herrmann, R.; Marx, S.: Collaborative Structural Health Monitoring for Bridge Digital Twins, International Workshop on Structural Health Monitoring 2025, Stanford, 2025 (under review)

Cluster A

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. https://doi.org/10.1016/j.autcon.2024.105419

Mansour, M., Martens, J., & Blankenbach, J. (2024). Hierarchical SVM for Semantic Segmentation of 3D Point Clouds for Infrastructure Scenes. Infrastructures, 9(5), 83. doi.org/10.3390/infrastructures9050083

Vassilev,H. Blankenbach J. (2025), Empirischer Vergleich von Deep-Learning-Ansätzen zur semantischen Segmentierung von 3D-Punktwolken auf realen Brückendatensätzen. Avn - Allgemeine Vermessungs-Nachrichten. (under review)

Vassilev, H., Blankenbach, J: Semantische Punktwolkensegmentierung mit künstlichen neuronalen Netzen für die automatische Erstellung von as-is BIM-Modellen. In: Weinold (Hrsg.) 22 Internationale Geodätische Woche Obergurgl, Wichmann Verlag, Heidelberg. S 90-101 2023

Vassilev, H., & Blankenbach, J. (2025). Fine-grained feature extraction for semantic segmentation of point clouds for Civil Engineering structures. 2025 European Conference on Computing in Construction

Mansour. M, Vassilev H., Blankenbach, J (2025) IWSHM - Hybrid Workflow for Digital Twin Creation: Human-in-the-Loop Segmentation and Geometry-Aware Modeling of Bridge Structures (submitted)

Teilprojekt A02

Blaskow, R., & Maas, H. G., Structural Health Monitoring of Bridges with Personal Laser Scanning: Segment-based Analysis of systematic Point Cloud Deformations. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 10, 9-16.

Teilprojekt A03

Teilprojekt A04

Ferrandon Cervantes, M., Reiterer, A. Key Point Identification in Deep Learning-Based 3D Semantic Segmentation. PFG(2025).

K. Poku-Agyemang, M. Kellner, A. Schmitt, A. Reiterer: Creating 3D models of bridges using different data sources and machine learning methods.

Mario P. Brito, Terje Aben, Piero Baraldi, Marko Cepin, Enrico ZIo: Proceedings of the 33rd European Safety and Reliability Conference (ESREL 2023). Signapore: Research Publishing (S) Pte Ltd, 2023, ISBN: 978-981-18-8071-1

Cluster B

Teilprojekt B01/C01

Janiak, T.; Becks, H.; Camps, B. et al.: Evaluation of distributed fibre optic sensors in structural concrete. In: Materials and Structures, Vol. 56 (2023), Iss. 159. https://doi.org/10.1617/s11527-023-02222-9.

Becks, H.; Lippold, L.; Winkler, P. et al.: Neuartige Konzepte für die Zustandsüberwachung und -analyse von Brückenbauwerken – Einblicke in das Forschungsvorhaben SPP100+. In: Bauingenieur 99 (2024), Heft 10, S. 327-338. https://doi.org/10.37544/0005-6650-2024-10-63.

Becks, H.; Högemann, M.; Hegger, J. et al. : Assessing crack formation and strain distribution in concrete structures using externally installed fiber optic sensors. In: Case Studies in Construction Materials (2025). https://doi.org/10.1016/j.cscm.2025.e04744

Becks, H.; Brockmann, D.; Hegger, J. et al.: Monitoring the Fatigue‐Induced Strain Evolution of Concrete Bridges using Fiber Optic Sensors. In: ce/papers (EuroStruct 2023, Vienna), Vol. 6 (2023), Iss. 5, pp. 1119-1126. https://doi.org/10.1002/cepa.2033.

Becks, H.; Hegger, J.; Classen, M.: Measuring Strain and Crack Evolution in Reinforced Concrete under Monotonic and Fatigue Tension using Fiber Optic Sensors. In: Procedia Structural Integrity (SMAR2024, Salerno) Vol. 64 (2024), pp. 1279–1286. https://doi.org/10.1016/j.prostr.2024.09.197

Becks, H.; Hegger, J.; Classen, M.: Two-dimensional strain measurement and crack detection of reinforced concrete using fiber optic sensors. In: IABSE Congress Ghent – The Essence of Structural Engineering for Society (2025). (accepted)

Teilprojekt B02

Kang, C.*; Eisermann, C.; Ramasetti, E. K.; Degener, S.; Marzahn, G.; Herrmann, R.: Collaborative Structural Health Monitoring of the 70-year-old Nibelungen Bridge: a key part of its intelligent digital maintenance strategy. Structural Health Monitoring, 2024 (under review)

Eisermann, C.; Marx, S.; Kang, C.: Modifying the dead load partial factor of the Nibelungen Bridge based on 3D measurements. SMAR 2024 – 7th International Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures, 4-6. September 2024, Salerno, Italy, S 8.

Eisermann, C; Voigt, C.; Marx, S.; Kang, C.: The initial structural health monitoring system of the Nibelungen Bridge Worms. EWSHM 2024: 11th European Workshop on Structural Health Monitoring, 10 June 2024 in Potsdam, Germany, S 10.

Bartels, J.; Eisermann, C.; Kang, C.; Marx, S.: Probabilistic Sensor Fault Detection in Bridge Structural Health Monitoring Systems. fib-symposium 2025, 16-18 June 2025, Antibes, France, S 10. (accepted)

Walker, M.; Eisermann, C.; Bartels, J.; Marx, S.: Optimizing bridge recalculation: uncertainty in SHM-based recalculation of prestressed concrete bridges. SHMII 2025: 13th International Conference on Structural Health Monitoring of Intelligent Infrastructure, 1-5 September 2025, Graz, Österreich, S 10. (submitted)

Teilprojekt B03/C04

Ullmann, S., & Lowke, D. (2024). The effect of external load on the chloride migration resistance and the service life of reinforced concrete structures and repair mortars. Construction and Building Materials, 443. https://doi.org/10.1016/j.conbuildmat.2024.137770

Narouie, V., Wessels, H., and Römer, U.: Inferring displacement fields from sparse measurements using the statistical finite element method. Mechanical Systems and Signal Processing, 2025https://doi.org/10.1016/j.ymssp.2023.110574

Anton, D., Tröger, J.-A., Wessels, H., Römer, U., Henkes, A., Hartmann, S.: Deterministic and statistical calibration of constitutive models from full-field data with parametric physics-informed neural networks. Accepted in Advanced Modeling and Simulation in Engineering Sciences, 2025. https://doi.org/10.48550/arXiv.2405.18311

Römer, U., Hartmann, S., Tröger, J., Anton, D., Wessels, H., Flaschel, M., and De Lorenzis, L.: Reduced and All-at-Once Approaches for Model Calibration and Discovery in Computational Solid Mechanics. ASME. Appl. Mech. Rev., 2025. doi.org/10.1115/1.4066118

Narouie, V., Wessels, H., Cirak, F., and Römer, U.: Mechanical State Estimation with a Polynomial-Chaos-Based Statistical Finite Element Method. Comput. Methods Appl. Mech. Engrg., 2025. https://doi.org/10.1016/j.ymssp.2023.110574

Shivalingappa, G., Anton, D., & Wessels, H.: Parametric Neural Networks as Full-Field Surrogates for Material Model Calibration. Proceedings of the 10th European Workshop on Structural Health Monitoring (EWSHM 2024), June 10-13, 2024 in Potsdam, Germany. e-Journal of Nondestructive Testing . doi.org/10.58286/29583

Potnis, A., Macier, M., Leusmann, T., Anton, D., Wessels, H., and Lowke, D.: Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data. Arxiv preprint, 2024.
https://doi.org/10.48550/arXiv.2411.16447

Teilprojekt B04

Paul, A., Sanio, D., Mark, P.: Detektion innerer Spannstahlbrüche durch faseroptische Messungen an Betonoberflächen. Beton- und Stahlbetonbau (2025). DOI: https://doi.org/10.1002/best.202400100

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

Paul, A.; Sanio, D.; Mark, P.: Detection of internal tendon breaks by fiber-optical measurements - influence on the re-anchoring behavior. SMAR 2024 – 7th International Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures, Salerno, Italy, 4-6. September, 2024. (accepted)

Straeter N.; Paul, A.; Ahrens, M; Mark P.: Detecting non-visible tendon breaks – a new approach using coda wave interferometry. fib Symposium 2024 – ReConStruct, Christchurch, New Zealand, 11-13. November, 2024 (accepted)

Teilprojekt B05

Brenner, C.; Thiele, K.; Unglaub, J. (2024). A Hybrid Approach to Damage Identification for Steel Bridges with Discrete Cracks. In Structure and Infrastructure Engineering (submitted)

Brenner, C.; Thiele, K.; Unglaub, J.: A Reduced-Order Digital Twin for Structural Health Monitoring of Steel Bridges. IWSHM 2023 - 14th International Workshop on Structural Health Monitoring, September 12-14 2023, Stanford, USA.

Brenner, C.; Thiele, K.; Unglaub, J.: Constraints of local stiffness adaption for reduced-order models of large-scale steel bridges. EWSHM 2024- 11th European Workshop on Structural Health Monitoring, September 10-13 2024, Potsdam, Gemany.Link: https://www.ndt.net/article/ewshm2024/papers/532_manuscript.pdf

Brenner, C.; Thiele, K.; Unglaub, J.: A data-driven approach for linking models of large-scale bridges and monitoring data. SMAR 2024- 7th International Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures, September 4-6 2024, Salerno, Italy.

Weiser, R.; Unglaub, J.; Thiele, K.: Vehicle classification using BiLSTM for predictive maintenance and Digital Twins. SMAR 2024- 7th International Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures, September 4-6 2024, Salerno, Italy.

Brenner, C.; Thiele, K.; Unglaub, J.: Comparative Analysis of Simulation Models for Digital Twins and Damage Identification on Bridges: A Steel Bridge case study using Strain Measurements. IWSHM 2025 - 15th International Workshop on Structural Health Monitoring, September 9-11 2025, Stanford, USA. (submitted)

Cluster C

Teilprojekt C02/E02

Winkler, P., Lippold L., Zabel V., Könke, C. (2024). Damage Detection combining Modal Analysis and Acoustic Emission in Concrete Structures. Procedia Structural Integrity, Volume 64, 2024, Pages 1264-1270, ISSN 2452-3216, https://doi.org/10.1016/j.prostr.2024.09.195

Becks, H., Lippold, L., Winkler, P., Moeller, M., Rohrer, M., Leusmann, T., Anton, D., Sprenger, B., Kähler, P., Rudenko, I., Arcones, D. A., Koutsourelakis, P.-S., Unger, J. F., Weiser, M., Petryna, Y., Schnellenbach-Held, M., Lowke, D., Wessels, H., Lenzen, A.,…Hegger, J. (2024). Neuartige Konzepte für die Zustandsüberwachung und -analyse von Brückenbauwerken – Einblicke in das Forschungsvorhaben SPP100+/Novel Concepts for the Condition Monitoring and Analysis of Bridge Structures – Insights into the SPP100+ Research Project. Bauingenieur, BD. 99 (2024) Nr. 10. DOI: https://doi.org/10.37544/0005-6650-2024-10-63

Rohrer et. al. (2025) Experimental Studies on Multi-Scale Data-Driven Methods within the Framework of Strucural Health Monitoring. Civil Engineering Design Wiley. DOI: https://doi.org/10.1002/cend.202400036

Winkler, P., Lippold L., Zabel V., Könke, C. (2024). Verknüpfung globaler und lokaler Verfahren zur Schädigungsidentifikation am Beispiel einer schrittweisen geschädigten Stahlbetonstruktur. Baustatik – Baupraxis 15, 2024, Technische Universität Hamburg. https://www.bb15.baustatik-baupraxis.de/Anmeldung/Upload/PDF/152715c4.pdf

Lippold L., Rödiger N., Most T., Könke C. (2024). Identifikation inhomogener Materialeigenschaften von Flächentragwerken mit Physics Informed Neural Networks. Baustatik – Baupraxis 15, 2024, Technische Universität Hamburg. https://www.bb15.baustatik-baupraxis.de/Anmeldung/Upload/PDF/d4174560.pdf

Winkler, P., Lippold L., Zabel V., Könke, C. (2024). A multi-scale approach for damage identification and condition assessment of built infrastructure. EWSHM 2024, 11th European Workshop on Structural Health Monitoring, Potsdam, Germany, June 10-13, 2024.

Schwegmann, L., Paz, C. und Zabel V. (2025). Untersuchungen zur Anwendung eines Schädigungsindikators basierend auf Nullraum-Betrachtungen. 8. VDI Fachtagung Baudynamik 2025, Würzburg.

Winkler, P., Lippold L., Zabel V., Könke, C. (2025). Schadenslokalisierung in einer graduell geschädigten Betonstruktur mit der Modal Strain Energy Methode. 8. VDI Fachtagung Baudynamik 2025, Würzburg.

Schwegmann, L., Dederichs, A. und Zabel V. (2025). Numerical Considerations in Context of Stochastic Subpace-Based Fault Detection Test. EVACES 2025, Porto, Portugal.

Paz, C., Schwegmann, L. und Zabel, V. (2025). Identification of Modal Parameters of a Test Bridge under a Moving Mass. 19. D-A-CH-Tagung Erdbebeningenieurwesen und Baudynamik, Wien, Österreich.

Teilprojekt C03/E03

Rohrer, M., Moeller, M., & Lenzen, A. (2024). A Testing Field for Studies of Environmental and Operational Effects in Structural Damage Localization of Mechanical Structures. Structural Control and Health Monitoring Wiley, 2024(1), 3970794. DOI: https://doi.org/10.1155/2024/3970794

Moeller, Max and Lenzen, Armin, Autonomous Energy-Based Model Order Selection in Parameter State Space Identification Via Cross Gramian and Symmetrizer. Mechanical Systems and Signal Processing Elsevier. (Preprint) DOI: https://dx.doi.org/10.2139/ssrn.4965431

Becks et. al. (2024). Neuartige Konzepte für die Zustandsüberwachung und -analyse von Brückenbauwerken – Einblicke in das Forschungsvorhaben SPP100+. Bauingenieur, BD. 99 (2024) Nr. 10. DOI: doi.org 10.37544/0005-6650-2024-10-63

Rohrer et. al. (2025) Experimental Studies on Multi-Scale Data-Driven Methods within the Framework of Strucural Health Monitoring. Civil Engineering Design Wiley. DOI: doi.org/10.1002/cend.202400036

Rohrer, Maximilian, and Lenzen, Armin. „An Experimental Validation of Damage Localization with SP2E under the Influence of EOC“ Mechanical Systems and Signal Processing. Submitted January 2025, under review.

Lenzen, Armin et. al. „Experimental fault localization at the seven span Flossgraben Bridge under operation by output-only system parameter identification based on subspaces and H-infinity-optimization“ Structural Control and Health Monitoring. Submitted March 2025, under review.

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. (peer reviewed) ISBN: 978-3-00-077808-7. S. 491-498

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. DOI: https://doi.org/10.58286/29613

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. DOI: https://doi.org/10.58286/29618

Rohrer, M., Moeller, M., & Lenzen, A. (2024). System identification and monitoring of bridge structures. Special Issue of Procedia Structural Integrity, SMAR 2024 Proceedings. (peer reviewed)

DOI: doi.org/10.1016/j.prostr.2024.09.194

Armin Lenzen, Max Moeller, Maximilian Rohrer (2024). Schadenserkennung an Baukonstruktionen mit intelligenten Methoden der Systemidentifikation. Informatik Festival 2024, Wiesbaden, Germany, September 24-26, 2024. (peer reviewed)

DOI: doi.org/10.18420/inf2024_151

Rohrer, Maximilian, and Lenzen, Armin. „Systemidentifikation und Zustandsüberwachung der Floßgrabenbrücke“ 8. VDI Fachtagung Baudynamik 25, 2025. DOI: doi.org/10.51202/9783181024478-201

Moeller, Max, and Lenzen, Armin. „Langzeitüberwachung mittels autonomoer Systemidentifikation“ 8. VDI Fachtagung Baudynamik 25, 2025. DOI: doi.org/10.51202/9783181024478-201

Teilprojekt C05

Guntermann, L.; Sprenger, B.: Schadensdetektion an Brückenbauwerken durch FE-Modelladaption mittels Evolutionärer Algorithmen. in Böhmer, Heike et al.(2025): VHV-Bauschadenbericht 2024/25 Tiefbau und Infrastruktur. Fraunhofer IRB Verlag, URL: https://bauforschung.de/downloads-oeffentlich/ [accepted]

Schnellenbach-Held, M.; Sprenger, B.; Otto, M.: A Nonlinear Surrogate-Based Finite Element Model Updating Approach for Prestressed Concrete Bridges. Structural Engineering International, Special Issue, 2025 [accepted]. https://doi.org/10.1080/10168664.2025.2487431

Sprenger, B.; Schnellenbach-Held, M.: Schadensmodellierung mittels nichtlinearer FE-Simulationen zur Bauwerksüberwachung im Rahmen eines Digitalen Zwillings. In: Oesterle, B., Bögle, A. Weber, W., Striefler, L. (Hrsg.) „Baustatik – Baupraxis 15“. Technische Universität Hamburg, 2024, S. 517-524; https://www.bb15.baustatik-baupraxis.de/Programm/program_presentation.php?id=14

Sprenger, B.; Schnellenbach-Held, M.: Sensitivity Analysis of Model Parameters in a Nonlinear Model-Updating Approach for Prestressed Concrete Bridges. In: Proceedings of the 11th European Workshop on Structural Health Monitoring (EWSHM 2024), June 2024, Potsdam; https://www.ndt.net/article/ewshm2024/papers/157_manuscript.pdf

Guntermann, L.; Sprenger, B.: Entwicklung eines Optimierungsverfahrens zur Strukturidentifikation von Brückenbauwerken. In: 35. Forum Bauinformatik 2024, 2024.

Schnellenbach-Held, M; Sprenger, B.: Automated Damage Detection in a Nonlinear Model Updating Approach for Concrete Bridges. In: Proceedings of the fib Symposium 2025, 2025 [accepted]

Teilprojekt C06

Rudenko, I.; Petryna, Y.: An Approach to Automatic Building Information Modeling-Based Generation of Finite Element Models of Different Complexity and Finite Element Dimensionality. Buildings 2025, 15, 171. https://doi.org/10.3390/buildings15020171

Becks, H., Lippold, L., Winkler, P., Moeller, M., Rohrer, M., Leusmann, T., Anton, D., Sprenger, B., Kähler, P., Rudenko, I., Arcones, D. A., Koutsourelakis, P.-S., Unger, J. F., Weiser, M., Petryna, Y., Schnellenbach-Held, M., Lowke, D., Wessels, H., Lenzen, A.,…Hegger, J. (2024). Neuartige Konzepte für die Zustandsüberwachung und -analyse von Brückenbauwerken – Einblicke in das Forschungsvorhaben SPP100+/Novel Concepts for the Condition Monitoring and Analysis of Bridge Structures – Insights into the SPP100+ Research Project. Bauingenieur, 99(10), 327-338. https://doi.org/10.37544/0005-6650-2024-10-63

Kähler, P.: Einsatz von Datenassimilationsverfahren für digitale Zwillinge von Tragstrukturen in messtechnischer Strukturüberwachung, Dissertation, Technische Universität Berlin (im Veröffentlichungsprozess)

Kähler, P.; Petryna, Y.: Application of artificial neural networks for indirect load measurements on bridges from vibration measurements. In: EWSHM 11th European Workshop on Structural Health Monitoring, Potsdam, Germany (2024). https://doi.org/10.58286/29594

Kähler, P.; Petryna, Y.: Vibration monitoring of structures with indirect load identification and Kalman update. SMAR 2024 – 7th International Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures, 4-6. September 2024, Salerno, Italy. Special Issue of Procedia Structural Integrity, SMAR 2024 Proceedings (peer reviewed). https://doi.org/10.1016/j.prostr.2024.09.193

Rudenko, I.; Petryna, Y.: Interaction between BIM and FE models in structural health monitoring. SMAR 2024 – 7th International Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures, 4-6. September 2024, Salerno, Italy. Special Issue of Procedia Structural Integrity, SMAR 2024 Proceedings (peer reviewed). https://doi.org/10.1016/j.prostr.2024.09.169

Rudenko, I.: Kompatibilität von BIM- und FE-Modellen für die Tragwerksanalysen. In: Oesterle, B.; Bögle, A.; Weber, W. et al. (Hrsg.): Berichte der Fachtagung Baustatik – Baupraxis 15. Institut für Baustatik, Technische Universität Hamburg, Hamburg, 2024, S. 75-82.

Teilprojekt C07

Andrés Arcones, D.; Weiser, M.; Koutsourelakis, P.-S.; Unger, J.F.: Model Bias Identification for Bayesian Calibration of Stochastic Digital Twins of Bridges. Applied Stochastic Models in Business and Industry (2024), pp 1-26, https://doi.org/10.1002/asmb.2897

Becks, H., Lippold, L., Winkler, P., Moeller, M., Rohrer, M., Leusmann, T., Anton, D., Sprenger, B., Kähler, P., Rudenko, I., Arcones, D. A., Koutsourelakis, P.-S., Unger, J. F., Weiser, M., Petryna, Y., Schnellenbach-Held, M., Lowke, D., Wessels, H., Lenzen, A.,…Hegger, J. (2024). Neuartige Konzepte für die Zustandsüberwachung und -analyse von Brückenbauwerken – Einblicke in das Forschungsvorhaben SPP100+/Novel Concepts for the Condition Monitoring and Analysis of Bridge Structures – Insights into the SPP100+ Research Project. Bauingenieur, 99(10), 327-338. https://doi.org/10.37544/0005-6650-2024-10-63

Andrés Arcones, D.; Weiser, M.; Koutsourelakis, P.-S.; Unger, J.F. (2024): Bias Identification Approaches for Model Updating of Simulation-Based Digital Twins of Bridges. Research and Review Journal of Non-Destructuve Testing, Vol. 2, Art. 2, https://doi.org/10.58286/30524

Andrés Arcones, D.; Weiser, M.; Koutsourelakis, P.-S.; Unger, J.F.: Embedded Model Bias Quantification with Measurement Noise for Bayesian Calibration. ArXiv preprint (2024). https://doi.org/10.48550/arXiv.2410.12037

Andrés Arcones, D.; Weiser, M.; Koutsourelakis, P.-S.; Unger, J.F.: Evaluation of model bias identification approaches based on Bayesian inference and applications to Digital Twins. In: UNCECOMP 2023 – 5th International Confetence on Uncertainty Quantification in Computational Science and Engineering, 12-14 June 2023, Athens, Greece, pp. 67-81.

Andrés Arcones, D.; Weiser, M.; Koutsourelakis, P.-S.; Unger, J.F.: A Bayesian Framework for Simulation-based Digital Twins of Bridges. In: ce/papers (EuroStruct 2023), Vol. 6 (2023), Iss. 5, pp. 734-740.

Villani, P.; Unger, J.F.; Weiser, M.: Adaptive Gaussian Process Regression for Bayesian Inverse Problems. In: Proceedings of the Conference Algoritmy 2024, 15-20 March 2024, Vysoké Tatry, Slovakia, pp. 214-224.

Andrés Arcones, D.; Weiser, M.; Koutsourelakis, P.-S.; Unger, J.F.: Uncertainty Quantification and Model Extension for Digital Twins of Bridges through Model Bias Identification. In: ECCOMAS 2024 – 9th European Congress on Computational Methods in Applied Sciences and Engineering, 3-7 June 2024, Lisbon, Portugal.

Unger, J.F., Andrés Arcones, D.: Uncertainty Quantification and Model Extension for Digital Twins through Model Bias Identification. In; FrontUQ2024, 24-27 September 2024, Braunschweig.

Andrés Arcones, D.; Unger, J.F.: Modell- und Parameterusicherheiten am Beispiel eines digitalen Brückenzwillings. In: Tagusband 11. Jahrestagung des DAfStb mit 63.Forschungskolloquium der BAM. 16.10. – 17-10.2024, Berlin. S. 218-223.

Unger, J.F., Robens-Radermacher, A., Andrés Arcones, D., Saif-Ur-Rehman, S.-U.-R.: Bayesian model updating for predictive digital twins under model form uncertainty. In: DTE-AICOMAS 2025, 17-21 February 2025, Paris, France

Andrés Arcones, D., Weiser, M., Koutsourelakis, P.-S., Unger, J.F.: Incorporating model form uncertainty in digital twins for reliable parameter updating and quantities of interest analysis. In: 95th Annual GAMM Meeting, 7-11 April 2025, Poznan, Poland

Cluster D

Teilprojekt D01

Salomon, J., Behrensdorf, J., Winnewisser, N., Broggi, M., & Beer, M. (2022). Multidimensional Resilience Decision-Making for Complex and Sub-Structured Systems. Resilient Cities and Structures, 1(3), 61-78.

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.

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).

Winnewisser, N. R., Salomon, J., Shi, Y., Broggi, M., & Beer, M. (2024) Generalizing the Diagonal Approximated Signature to Systems With Multiple Component Types. Advances in Reliability, Safety and Security, Part 2, ESREL2024.

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. NAFIPS 2024.

Winnewisser, N. R.; Kreinovich, V.; and 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". Departmental Technical Reports (CS). 1861.

Winnewisser, N., Mett, F., Beer, M., Kosheleva, O., & Kreinovich, V. (2024). Using Known Relation Between Quantities to Make Measurements More Accurate and More Reliable. XXIV IMEKO World Congress 2024.

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. EWSHM2024.

Winnewisser, N., Beer, M. Kosheleva, O. & Kreinovich, V. (2025, March) How Shapley Value and Its Generalizations Can Help in the Analysis of Complex Engineering Systems and What Next. In International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (pp. 85-97). Springer Nature Singapore

Winnewisser, N., Beer, M. Kosheleva, O. & Kreinovich, V. (2025, March) What is Optimal Granularity When Estimating Reliability of a Complex Engineering System. In International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (pp. 85-97). Springer Nature Singapore

Winnewisser, N. R., Hoyer, M., Bartels, J. H., Mett, F., Potthast, T., Marx, S. & Beer, M. (2025, May) How to Determine the Level of Epistemic Uncertainty and Exclude Faulty Sensors in Structural Health Monitoring Systems. (accepted) At Symposium 2025 in Tokyo of the International Association for Bridge and Structural Engineering

Marsili F., Winnewisser N.R., Beer M., & Kessler S. (2025, June) Continuous-state survival functions for reinforced concrete bridges based on physics-based degradation models and visual inspection, (accepted) ESREL 2025

Hoyer, M., Winnewisser, N. R., Bartels, J. H., F., Potthast, T. & Beer, M. (2025, September) Investigation of Robustness in Detectiing and Localizing Sensor Malfunctions in Deteriorating Structural Health Monitoring Systems (submitted) IWSHM 2025

Möller, S., Potthast, T., Winnewisser, N., Jonscher, C., Beer, M. & Rolfes, R. Quantifying the Required Sample Size for Desired Confidence in Damage Detection of Structural Health Monitoring (submitted) IWSHM 2025

Teilprojekt D02

Göbels, A., & Beetz, J. (2025). Extracting Spatial Information from Semi-Formal Textual Data: A Graph-Based Method for Automatically Deriving Three-Dimensional Bridge and Damage Models from Legacy Bridge Maintenance Data. Automation in Construction. (Under Review)

Heise, I., Göbels, A., Borrmann, A., & Beetz, J. (2025). Concept for Large-Scale Evaluation of Spatial Relations for Road Infrastructure Management: A Graph-Based Federated Digital Twin Approach for Comprehensive Querying of Heterogeneous Infrastructure Datasets. The 32nd EG-ICE International Workshop on Intelligent Computing in Engineering, Glasgow, Scotland, UK.(Accepted)

Göbels, A., & Beetz, J. (2024). Relative Location Ontology: An ontological model for representing directional topological relationships between spatial entities in oriented space. LDAC 2024 – 12th Linked Data in Architecture and Construction Workshop, Bochum, Germany.

Göbels, A., Schulz, O., & Beetz, J. (2024). Towards a Common Digital Space: Proposing a Schema for Spatially Linking Heterogeneous Resources. Proceedings of the 41st International Conference of CIB W78. CIB W78, Morocca, Marrakech. itc.scix.net/paper/w78-2024-13

Heise, I., Göbels, A., Borrmann, A., & Beetz, J. (2024). Enabling Comprehensive Querying of Road and Civil Structure Data using Graph-based Methods. Proceedings of the 41st International Conference of CIB W78. 41st International Conference of CIB W78, Marrakech, Morocco. itc.scix.net/paper/w78-2024-18

Schulz, O., & Beetz, J. (2024, Juni). Aligning openCDE APIs with Linked Building Data through Constrained Containers in Common Data Environments. 12th Linked Data in Architecture and Construction Workshop. Linked Data in Architecture and Construction Workshop, Bochum, Germany.

Schulz, O., Werbrouck, J., & Beetz, J. (2023). Towards Scene Graph Descriptions for Spatial Representations in the Built Environment. Proceedings of the 30th EG-ICE International Workshop on Intelligent Computing in Engineering. EG-ICE 2023: International Conference on Intelligent Computing in Engineering, London, United Kingdom.

Teilprojekt D03

Herrmann, R., Ramasetti, E., Degener, S., Hille, F., & Baeßler, M. (2024). A living lab for Structural Health Monitoring at the Nibelungen Bridge Worms for Transfer Learning of Structural Dynamics. Proceedings of the 10th European Workshop on Structural Health Monitoring (EWSHM 2024), June 10-13, 2024 in Potsdam, Germany. e-Journal of Nondestructive Testing. https://doi.org/10.58286/29853

Herrmann, R., Hille, F., Pitters, S., Ramasetti, E.,Schneider, R., Wedel, F., Hindersmann, I. (2024): Föderiertes Datenmanagement von Monitoringdaten aus Structural Health Monitoring Anwendungen und daraus gewonnenen Trainingsdaten bei Spannbetonbrücken. 11. Jahrestagung des DAfStb mit 63.Forschungskolloquium der BAM. 16.10. – 17-10.2024, Berlin.

Ramasetti E., Herrmann, R., Degener, S., Baeßler, M. (2024): Development of generic AI models to predict the movement of vehicles on bridges. SMAR 2024 – 7th International Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures, 4. - 6. September 2024, Salerno, Italy.

Ramasetti E., Herrmann, R., Degener, S., Baeßler, M. (2025): Investigation of regression models based on deep transfer learning for the effect of bridge temperature on the inclination of a prestressed concrete bridge. SEMC 2025– The 9th International Conference on structural engineering, 1. - 3. September 2025, Capetown, South Africa.

Herrmann, R., Ramasetti, E., Ponnam. P. Degener, S (2025). Charcterization of smart acceleation sensors for traffic recognition using AI at the Nibelungen Bridge Worms. Proceedings of the fib Symposium , June 16-18, 2025, Antibes, France.

Teilprojekt D04

Peralta, P., Ahmad, M. E., & Smarsly, K. (2023). Printing information modeling (PIM) for additive manufacturing of concrete structures. Applied Sciences, 13(23), 12664.

Naser Eddin, N., Peralta, P., Al-Nasser, H., & Chillón Geck, C. (2023). A sustainable wireless sensor system for water quality monitoring. In Proceedings of the 34th Forum Bauinformatik, Bochum, Germany, 09/06/2023.

Al-Zuriqat, T., Peralta, P., Chillón Geck, C., Dragos, K., & Smarsly, K. (2023). Implementation and validation of a low-cost IoT-enabled shake table system. In Proceedings of the 14th International Workshop on Structural Health Monitoring (IWSHM), Stanford, CA, USA, 09/12/2023.

Vollmert, J., Peralta, P., & Tandon, A. (2024). Monitoring and simulation of robot kinematics for clay printing based on digital twins [Monitoring und Simulation von Roboterkinematik basierend auf digitalen Zwillingen für den Lehmdruck]. In Proceedings of the 35th Forum Bauinformatik, Hamburg, Germany, 09/18/2024.

Vollmert, J., Peralta, P., Tandon, A., Harder, T. L., Al-Nasser, H., & Smarsly, K. (2024). Digital-twin-based monitoring and simulation of robot kinematics for clay printing. In Proceedings of the 15th European Conference on Product and Process Modeling (ECPPM), Dresden, Germany, 09/11/2024.

Smarsly, K., Peralta, P., Dragos, K., Ahmad, M. E., Al-Zuriqat, T., Chillón Geck, C., & Al-Nasser, H. (2024). A multivocal literature review of digital twins, architectures, and elements in civil engineering. In Proceedings of the 11th European Workshop on Structural Health Monitoring (EWSHM), Potsdam, Germany, 06/10/2024.

Smarsly, K., Ahmad, M. E., Peralta, P., Al-Zuriqat, T., Al-Nasser, H., Dragos, K., & Chillón Geck, C. (2024). Digital twins, architectures, and elements in civil engineering – A multivocal literature review. In Proceedings of the 20th International Conference on Computing in Civil and Building Engineering (ICCCBE), Montréal, Canada, 08/25/2024.

Hartmann, S., Al-Zuriqat, T., Peralta, P., Valles, R., Gölzhäuser, P., Al-Hakim, Y., Mackenbach, S., Klemt-Albert, K., & Smarsly, K. (2024). Digital twins for sewer systems maintenance: A systematic literature review. In Proceedings of the 24th International Conference on Construction Applications of Virtual Reality (CONVR), Sydney, Australia, 11/04/2024.

Al-Nasser, H., Ahmad, M. E., Peralta, P., Chillón Geck, C., Al-Zuriqat, T., Dragos, K., & Smarsly, K. (2024). Digital twin architectures in civil engineering: A systematic literature review. In Proceedings of the 15th Fachtagung Baustatik – Baupraxis, Hamburg, Germany, 03/04/2024.

Peralta, P., Ahmad, M. E., Al-Zuriqat, T., Chillón Geck, C., Al-Nasser, H., Dragos, K., Chmelnizkij, C., & Smarsly, K. (2025). Digital twins in civil engineering. Journal of Building Engineering (submitted).

Al-Zuriqat, T., Noufal, M., Peralta, P., Dragos, K., & Smarsly, K. (2025). Automated defect detection in fused filament fabrication coupling deep learning and computer vision. In Proceedings of the 2025 European Conference on Computing in Construction (EC3), Porto, Portugal, 07/14/2025 (accepted).

Peralta, P., Al-Zuriqat, T., Burse, B., Söbke, H., & Smarsly, K. (2025). Blockchain-based secure archiving of sensor malfunctions in structural health monitoring systems. In Proceedings of the 2025 European Conference on Computing in Construction (EC3), Porto, Portugal, 07/14/2025 (accepted).

Peralta, P., Al-Zuriqat, T., Noufal, M., & Smarsly, K. (2025). Automated defect detection in clay printing. In Proceedings of the 42nd International Symposium on Automation and Robotics in Construction (ISARC), Montreal, Canada, 07/28/2025 (accepted).

Smarsly, K., Chmelnizkij, A., Dragos, K., Peralta, P., Al-Zuriqat, T., Ahmad, M. E., Chillón Geck, C., Peralta, P., & Seitz, L. (2025). Decision making in structural health monitoring using large language models. In Proceedings of the 15th International Workshop on Structural Health Monitoring (IWSHM), Stanford, CA, USA, 09/11/2025 (submitted).

Vollmert, J., Peralta, P., Alatassi, A., Chmelnizkij, A., & Smarsly, K. (2025). Towards structural health monitoring of clay-printed structures. In Proceedings of the 13th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII), Graz, Austria, 09/01/2025 (submitted).

Cluster E

Teilprojekt E01

Rohrer et. al., Experimental Studies on Multi-Scale Data-Driven Methods within the Framework of Strucural Health Monitoring. Civil Engineering Design Wiley. Under Review (Joint Cluster E Paper)

Harb, Said & Achanccaray Diaz, Pedro & Maboudi, Mehdi & Gerke, Markus. (2024). Multi-temporal crack segmentation in concrete structure using deep learning approaches. 10.48550/arXiv.2411.04620.

Backhaus, J., de Arriba López, V., Maboudi, M., Bestmann, U., Gerke, M.: “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. DOI: https://doi.org/10.58286/29797

Riedel, B., Welke, O., Altmann, M., & Gerke, M. (2025, April 7–9). A signalization-free coregistration approach of multiscale and multitemporal survey for structural monitoring. In Proceedings of the 6th Joint International Symposium on Deformation Monitoring (JISDM), Karlsruhe, Germany. DOI: 10.5445/IR/1000180141

Teilprojekt C02/E02

Becks, H., Lippold, L., Winkler, P., Moeller, M., Rohrer, M., Leusmann, T., Anton, D., Sprenger, B., Kähler, P., Rudenko, I., Arcones, D. A., Koutsourelakis, P.-S., Unger, J. F., Weiser, M., Petryna, Y., Schnellenbach-Held, M., Lowke, D., Wessels, H., Lenzen, A.,…Hegger, J. (2024). Neuartige Konzepte für die Zustandsüberwachung und -analyse von Brückenbauwerken – Einblicke in das Forschungsvorhaben SPP100+/Novel Concepts for the Condition Monitoring and Analysis of Bridge Structures – Insights into the SPP100+ Research Project. Bauingenieur, BD. 99 (2024) Nr. 10. DOI: https://doi.org/10.37544/0005-6650-2024-10-63

Schwegmann, L., Paz, C. und Zabel V. (2025). Untersuchungen zur Anwendung eines Schädigungsindikators basierend auf Nullraum-Betrachtungen. 8. VDI Fachtagung Baudynamik 2025, Würzburg.

Schwegmann, L., Dederichs, A. und Zabel V. (2025). Numerical Considerations in Context of Stochastic Subpace-Based Fault Detection Test. EVACES 2025, Porto, Portugal.

Paz, C., Schwegmann, L. und Zabel, V. (2025). Identification of Modal Parameters of a Test Bridge under a Moving Mass. 19. D-A-CH-Tagung Erdbebeningenieurwesen und Baudynamik, Wien, Österreich.

Teilprojekt C03/E03

Rohrer, M., Moeller, M., & Lenzen, A. (2024). System identification and monitoring of bridge structures. Special Issue of Procedia Structural Integrity, SMAR 2024 Proceedings. (peer reviewed)
DOI: doi.org/10.1016/j.prostr.2024.09.194

Rohrer, Maximilian, and Lenzen, Armin. „Systemidentifikation und Zustandsüberwachung der Floßgrabenbrücke“ 8. VDI Fachtagung Baudynamik 25, 2025. DOI: doi.org/10.51202/9783181024478-201

Moeller, Max, and Lenzen, Armin. „Langzeitüberwachung mittels autonomoer Systemidentifikation“ 8. VDI Fachtagung Baudynamik 25, 2025. DOI: https://doi.org/10.51202/9783181024478-201