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Michael A. Kraus ORCID

The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Yu, Karin L. / Kraus, Michael A. / Chatzi, Eleni / Kaufmann, Walter (2024): Grammar-based generation of strut-and-tie models for designing reinforced concrete structures. In: Computers & Structures, v. 305 (December 2024).

    https://doi.org/10.1016/j.compstruc.2024.107549

  2. Balmer, Vera / Kuhn, Sophia V. / Bischof, Rafael / Salamanca, Luis / Kaufmann, Walter / Perez-Cruz, Fernando / Kraus, Michael A. (2024): Design Space Exploration and Explanation via Conditional Variational Autoencoders in Meta-Model-Based Conceptual Design of Pedestrian Bridges. In: Automation in Construction, v. 163 (July 2024).

    https://doi.org/10.1016/j.autcon.2024.105411

  3. Kraus, Michael A. / Kuhn, Sophia V. / Hodel, Anna / Bischof, Rafael / Maissen, Alessandro / Salamanca Mino, Luis / Pérez‐Cruz, Fernando (2024): Parametrische Modellierung und generatives tiefes Lernen für den Brückenentwurf. In: Bautechnik, v. 101, n. 3 (19 February 2024).

    https://doi.org/10.1002/bate.202300122

  4. Kraus, Michael A. / Müller, Andreas / Bischof, Rafael / Taras, Andreas (2023): Predictive modelling and latent space exploration of steel profile overstrength factors using multi‐head autoencoder‐regressors. In: ce/papers, v. 6, n. 3-4 (September 2023).

    https://doi.org/10.1002/cepa.2587

  5. Kraus, Michael A. / Drass, Michael (2021): Connecting Artificial Intelligence and Structural Glass Engineering – Overview, Potentials and Case Studies. In: ce/papers, v. 4, n. 6 (December 2021).

    https://doi.org/10.1002/cepa.1650

  6. Drass, Michael / Kraus, Michael A. (2021): Adé ETAG 002 – A Eurocode‐compliant design concept for silicone adhesive joints. In: ce/papers, v. 4, n. 6 (December 2021).

    https://doi.org/10.1002/cepa.1637

  7. Pauli, Alexander / Kraus, Michael A. / Siebert, Geralt (2021): Experimental investigation and Mohr‐Coulomb plasticity modeling of glass fragments from pre‐stressed glass panes. In: ce/papers, v. 4, n. 6 (December 2021).

    https://doi.org/10.1002/cepa.1630

  8. Kraus, Michael A. / Drass, Michael / Schneider, Jens (2021): Potenzial von Künstlicher Intelligenz im Bereich von Gebäudehüllen. In: ce/papers, v. 4, n. 5 (November 2021).

    https://doi.org/10.1002/cepa.1605

  9. Drass, Michael / Kraus, Michael A. (2021): Semi‐probabilistische Bemessung tragender Silikonverklebungen mit Teilsicherheitsbeiwerten. In: ce/papers, v. 4, n. 1 (July 2021).

    https://doi.org/10.1002/cepa.1248

  10. Kraus, Michael A. (2023): Aktive Partner statt passive Elemente – die Zukunft von Branchensoftware im Bauwesen. In: Stahlbau, v. 92, n. 6 (June 2023).

    https://doi.org/10.1002/stab.202370603

  11. Fisch, Rupert / Stecker, Enrico / Kraus, Michael A. (2023): Maschinelles Lernen beim Entwurf und der Bemessung von Stahlrahmenhallen. In: Stahlbau, v. 92, n. 6 (June 2023).

    https://doi.org/10.1002/stab.202200054

  12. Kraus, Michael A. (2022): Erklärbare domänenspezifische Künstliche Intelligenz im Massiv‐ und Brückenbau. In: Beton- und Stahlbetonbau, v. 117, n. 10 (October 2022).

    https://doi.org/10.1002/best.202200079

  13. Müller, Andreas / Taras, Andreas / Kraus, Michael A. (2022): Scientific Machine and Deep Learning Investigations of the Local Buckling Behaviour of Hollow Sections. In: ce/papers, v. 5, n. 4 (September 2022).

    https://doi.org/10.1002/cepa.1848

  14. Nielsen, Jens H. / Schneider, Jens / Kraus, Michael A. (2022): The in-plane expansion of fractured thermally pre-stressed glass panes. In: Construction and Building Materials, v. 327 (April 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.126849

  15. Riedel, Henrik / Mokdad, Sleheddine / Schulz, Isabell / Kocer, Cenk / Rosendahl, Philipp L. / Schneider, Jens / Kraus, Michael A. / Drass, Michael (2022): Automated quality control of vacuum insulated glazing by convolutional neural network image classification. In: Automation in Construction, v. 135 (March 2022).

    https://doi.org/10.1016/j.autcon.2022.104144

  16. Toffolon, Andrea / Kraus, Michael A. / Taras, Andreas (2021): Deep Learning based method for the prediction of the buckling resistance of SHS and RHS. In: ce/papers, v. 4, n. 2-4 (September 2021).

    https://doi.org/10.1002/cepa.1398

  17. Köppl, Johannes / Kraus, Michael A. / Mangerig, Ingbert (2019): Dynamic Analysis of a Swivel-Joist-Expansion-Joint by Truck Crossing Simulations. Presented at: IABSE Congress: The Evolving Metropolis, New York, NY, USA, 4-6 September 2019.

    https://doi.org/10.2749/newyork.2019.1882

  18. Pauli, Alexander / Kraus, Michael A. / Siebert, Geralt (2021): Experimental and numerical investigations on glass fragments: shear-frame testing and calibration of Mohr–Coulomb plasticity model. In: Glass Structures & Engineering, v. 6, n. 1 (March 2021).

    https://doi.org/10.1007/s40940-020-00143-5

  19. Kraus, Michael A. / Drass, Michael (2020): Künstliche Intelligenz im Bauingenieurwesen – Hintergründe, Status Quo und Potenziale/Artificial Intelligence in Civil Engineering – Background, Status Quo and Potential Applications. In: Bauingenieur, v. 95, n. 10 (October 2020).

    https://doi.org/10.37544/0005-6650-2020-10-39

  20. Drass, Michael / Kraus, Michael A. (2021): Semi-probabilistische Bemessung von Silikon-Klebeverbindungen: Ein Eurocode-konformer Ansatz unter Verwendung der Finiten-Elemente-Methode/Semi-probabilistic design of silicone adhesive joints: A Eurocode-compliant approach using the finite element method. Ein Eurocode-konformer Ansatz unter Verwendung der Finiten-Elemente-Methode. In: Bauingenieur, v. 96, n. 1-2 ( 2021).

    https://doi.org/10.37544/0005-6650-2021-01-02-52

  21. Kraus, Michael A. / Taras, Andreas (2020): Physik‐informierte Künstliche Intelligenz zur Berechnung und Bemessung im Stahlbau. In: Stahlbau, v. 89, n. 10 (June 2020).

    https://doi.org/10.1002/stab.202000074

  22. Kraus, Michael A. / Pourmoghaddam, Navid / Siebert, Geralt / Schneider, Jens (2019): Statistische Auswertung und Vorhersage des Bruchbildes von thermisch vorgespanntem Glas. In: ce/papers, v. 3, n. 1 (March 2019).

    https://doi.org/10.1002/cepa.1006

  23. Kraus, Michael A. (2019): Künstliche Intelligenz und Maschinelles Lernen im Kontext der Forschung im Konstruktiven Glasbau. In: ce/papers, v. 3, n. 1 (March 2019).

    https://doi.org/10.1002/cepa.1008

  24. Drass, Michael / Kraus, Michael A. (2020): Dimensioning of silicone adhesive joints: Eurocode-compliant, mesh-independent approach using the FEM. In: Glass Structures & Engineering, v. 5, n. 3 (November 2020).

    https://doi.org/10.1007/s40940-020-00128-4

  25. Siebert, Geralt / Botz, Martin / Kraus, Michael A. (2018): Comparison of LSG-design according to German and European Standards. In: ce/papers, v. 2, n. 5-6 (October 2018).

    https://doi.org/10.1002/cepa.913

  26. Pourmoghaddam, Navid / Kraus, Michael A. / Schneider, Jens / Siebert, Geralt (2018): The geometrical properties of random 2D Voronoi tesselations for the prediction of the tempered glass fracture pattern. In: ce/papers, v. 2, n. 5-6 (October 2018).

    https://doi.org/10.1002/cepa.934

  27. Kraus, Michael A. / Niederwald, Michael / Siebert, Geralt (2017): A monolithic approach for modeling viscoelastic materials in civil engineering. Presented at: IABSE Symposium: Engineering the Future, Vancouver, Canada, 21-23 September 2017.

    https://doi.org/10.2749/vancouver.2017.0445

  28. Botz, Martin / Kraus, Michael A. / Siebert, Geralt (2018): Sensitivitätsanalyse des Torsionsversuches zur Schubmodulermittlung bei Verbundglas. In: ce/papers, v. 2, n. 1 (May 2018).

    https://doi.org/10.1002/cepa.646

  29. Kraus, Michael A. / Schuster, Miriam / Kuntsche, Johannes / Siebert, Geralt / Schneider, Jens (2017): Parameter identification methods for visco- and hyperelastic material models. In: Glass Structures & Engineering, v. 2, n. 2 (October 2017).

    https://doi.org/10.1007/s40940-017-0042-9

  30. Botz, Martin / Kraus, Michael A. / Siebert, Geralt (2018): Sensitivity analysis for the determination of the interlayer shear modulus in laminated glass using a torsional test. In: Glass Structures & Engineering, v. 3, n. 2 (April 2018).

    https://doi.org/10.1007/s40940-018-0067-8

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