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Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Marwitz, Simon / Lahmer, Tom / Zabel, Volkmar (2024): Quantification of Polymorphic Uncertainties: A Quasi-Monte Carlo Approach. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 10, n. 3 (September 2024).

    https://doi.org/10.1061/ajrua6.rueng-1185

  2. Walther, Christian / Alkam, Feras / Nguyen‐Tuan, Long / Lieboldt, Matthias / Lahmer, Tom (2023): Challenges for Embedding RFID Sensors in Reinforced Concrete for Low‐effort Structural Health Monitoring. In: ce/papers, v. 6, n. 6 (Dezember 2023).

    https://doi.org/10.1002/cepa.2893

  3. Alkam, Feras / Ganß, Martin / Lieboldt, Matthias / Lahmer, Tom (2023): On using the DFOS for damage identification in civil engineering structures. In: ce/papers, v. 6, n. 6 (Dezember 2023).

    https://doi.org/10.1002/cepa.2898

  4. Nguyen‐Tuan, Long / Alkam, Feras / Lahmer, Tom (2023): Damage identification based on XFEM: inverse analysis and experimental validation. In: ce/papers, v. 6, n. 6 (Dezember 2023).

    https://doi.org/10.1002/cepa.2897

  5. Alemu, Yohannes L. / Habte, Bedilu / Lahmer, Tom / Urgessa, Girum (2023): Topologically preoptimized ground structure (TPOGS) for the optimization of 3D RC buildings. In: Asian Journal of Civil Engineering, v. 24, n. 7 (April 2023).

    https://doi.org/10.1007/s42107-023-00640-2

  6. Alalade, Muyiwa / Reichert, Ina / Köhn, Daniel / Wuttke, Frank / Lahmer, Tom (2022): A Cyclic Multi-Stage Implementation of the Full-Waveform Inversion for the Identification of Anomalies in Dams. In: Infrastructures, v. 7, n. 12 (Dezember 2022).

    https://doi.org/10.3390/infrastructures7120161

  7. Al-Yasiri, Zainab Riyadh Shaker / Mutashar, Hayder Majid / Gürlebeck, Klaus / Lahmer, Tom (2022): Damage Sensitive Signals for the Assessment of the Conditions of Wind Turbine Rotor Blades Using Electromagnetic Waves. In: Infrastructures, v. 7, n. 8 (August 2022).

    https://doi.org/10.3390/infrastructures7080104

  8. Alkam, Feras / Lahmer, Tom (2021): Eigenfrequency-Based Bayesian Approach for Damage Identification in Catenary Poles. In: Infrastructures, v. 6, n. 4 (April 2021).

    https://doi.org/10.3390/infrastructures6040057

  9. Jaouadi, Zouhour / Abbas, Tajammal / Morgenthal, Guido / Lahmer, Tom (2020): Single and multi-objective shape optimization of streamlined bridge decks. In: Structural and Multidisciplinary Optimization, v. 61, n. 4 (11 Februar 2020).

    https://doi.org/10.1007/s00158-019-02431-3

  10. Kumari, Vandana / Harirchian, Ehsan / Lahmer, Tom / Rasulzade, Shahla (2022): Evaluation of Machine Learning and Web-Based Process for Damage Score Estimation of Existing Buildings. In: Buildings, v. 12, n. 5 (24 April 2022).

    https://doi.org/10.3390/buildings12050578

  11. Harirchian, Ehsan / Aghakouchaki Hosseini, Seyed Ehsan / Jadhav, Kirti / Kumari, Vandana / Rasulzade, Shahla / Işık, Ercan / Wasif, Muhamad / Lahmer, Tom (2021): A review on application of soft computing techniques for the rapid visual safety evaluation and damage classification of existing buildings. In: Journal of Building Engineering, v. 43 (November 2021).

    https://doi.org/10.1016/j.jobe.2021.102536

  12. Harirchian, Ehsan / Jadhav, Kirti / Kumari, Vandana / Lahmer, Tom (2021): ML-EHSAPP: a prototype for machine learning-based earthquake hazard safety assessment of structures by using a smartphone app. In: European Journal of Environmental and Civil Engineering, v. 26, n. 11 (April 2021).

    https://doi.org/10.1080/19648189.2021.1892829

  13. Drieschner, Martin / Petryna, Yuri / Freitag, Steffen / Edler, Philipp / Schmidt, Albrecht / Lahmer, Tom (2021): Decision making and design in structural engineering problems under polymorphic uncertainty. In: Engineering Structures, v. 231 (März 2021).

    https://doi.org/10.1016/j.engstruct.2020.111649

  14. Reichert, Ina / Olney, Peter / Lahmer, Tom (2020): Combined approach for optimal sensor placement and experimental verification in the context of tower-like structures. In: Journal of Civil Structural Health Monitoring, v. 11, n. 1 (September 2020).

    https://doi.org/10.1007/s13349-020-00448-7

  15. Harirchian, Ehsan / Lahmer, Tom (2020): Developing a hierarchical type-2 fuzzy logic model to improve rapid evaluation of earthquake hazard safety of existing buildings. In: Structures, v. 28 (Dezember 2020).

    https://doi.org/10.1016/j.istruc.2020.09.048

  16. Harirchian, Ehsan / Lahmer, Tom (2020): Improved Rapid Assessment of Earthquake Hazard Safety of Structures via Artificial Neural Networks. In: IOP Conference Series: Materials Science and Engineering, v. 897 (August 2020).

    https://doi.org/10.1088/1757-899X/897/1/012014

  17. Harirchian, Ehsan / Lahmer, Tom / Buddhiraju, Sreekanth / Mohammad, Kifaytullah / Mosavi, Amir (2020): Earthquake Safety Assessment of Buildings through Rapid Visual Screening. In: Buildings, v. 10, n. 3 (25 Februar 2020).

    https://doi.org/10.3390/buildings10030051

  18. Abbas, Tajammal / Kavrakov, Igor / Morgenthal, Guido / Lahmer, Tom (2020): Prediction of aeroelastic response of bridge decks using artificial neural networks. In: Computers & Structures, v. 231 (April 2020).

    https://doi.org/10.1016/j.compstruc.2020.106198

  19. Nariman, Nazim Abdul / Lahmer, Tom / Karampour, Peyman (2019): Uncertainty quantification of stability and damage detection parameters of coupled hydrodynamic-ground motion in concrete gravity dams. In: Frontiers of Structural and Civil Engineering, v. 13, n. 2 (Januar 2019).

    https://doi.org/10.1007/s11709-018-0462-x

  20. Tan, Fengjie / Lahmer, Tom (2019): Shape design of arch dams under load uncertainties with robust optimization. In: Frontiers of Structural and Civil Engineering, v. 13, n. 4 (August 2019).

    https://doi.org/10.1007/s11709-019-0522-x

  21. Lahmer, Tom / Nguyen-Tuan, Long / Bettzieche, Volker (2019): Gekoppelte experimentelle und numerische Analyse von Staumauern mittels 3-dimensionaler Mehrphasen- und Mehrfeldmodelle. In: Wasserwirtschaft, v. 109, n. 5 (Mai 2019).

    https://doi.org/10.1007/s35147-019-0052-4

  22. Olney, Peter / Morgenthal, Guido / Lahmer, Tom (2014): Model based design of experiments and monitoring systems for parameter identification of structures. Vorgetragen bei: IABSE Symposium: Engineering for Progress, Nature and People, Madrid, Spain, 3-5 September 2014.

    https://doi.org/10.2749/222137814814069697

  23. Nguyen-Tuan, Long / Könke, Carsten / Lahmer, Tom (2018): Damage identification using inverse analysis for 3D coupled thermo-hydro-mechanical problems. In: Computers & Structures, v. 196 (Februar 2018).

    https://doi.org/10.1016/j.compstruc.2017.11.008

  24. Nguyen-Tuan, Long / Könke, Carsten / Bettzieche, Volker / Lahmer, Tom (2017): Numerical modeling and validation for 3D coupled-nonlinear thermo-hydro-mechanical problems in masonry dams. In: Computers & Structures, v. 178 (1 Januar 2017).

    https://doi.org/10.1016/j.compstruc.2016.10.007

  25. Keitel, Holger / Karaki, Ghada / Lahmer, Tom / Nikulla, Susanne / Zabel, Volkmar (2011): Evaluation of coupled partial models in structural engineering using graph theory and sensitivity analysis. In: Engineering Structures, v. 33, n. 12 (Dezember 2011).

    https://doi.org/10.1016/j.engstruct.2011.08.009

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