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La bibliographie suivante contient toutes les publications répertoriées dans la base de données qui sont reliées à ce nom en tant qu'auteur, éditeur ou collaborateur.

  1. Lipowczan, Martin / Novak, Lukas / Lehký, David / Novák, Drahomír: Nonlinear global design resistance: Case studies of post‐tensioned concrete bridges made of I‐73 and KA‐61 girders. Dans: Structural Concrete.

    https://doi.org/10.1002/suco.202300986

  2. Lehký, David / Šplíchal, Bohumil / Lamperová, Katarína / Slowik, Ondřej (2023): Inverse Analysis and Optimization‐based Model Updating for Structural Damage Detection. Dans: ce/papers, v. 6, n. 5 (septembre 2023).

    https://doi.org/10.1002/cepa.2136

  3. Šomodíková, Martina / Doležel, Jiří / Lehký, David (2023): On Mathematical Models of Degradation Processes According to ISO 16204 and fib Model Code. Dans: ce/papers, v. 6, n. 5 (septembre 2023).

    https://doi.org/10.1002/cepa.2135

  4. Novák, Drahomír / Strauss, Alfred / Novak, Lukas / Lehký, David / Šomodíková, Martina / Lipowczan, Martin / Slowik, Ondřej / Doležel, Jiří / Pukl, Radomír / Sattler, Fabian / Apostolidi, Eftychia (2023): Nonlinear probabilistic structural assessment: Findings from Austrian and Czech bridges. Dans: ce/papers, v. 6, n. 5 (septembre 2023).

    https://doi.org/10.1002/cepa.2195

  5. Šomodíková, Martina / Lipowczan, Martin / Lehký, David (2023): Determination of concrete fracture parameters using inverse analysis: Influence of the tensile softening model. Dans: Procedia Structural Integrity, v. 43 ( 2023).

    https://doi.org/10.1016/j.prostr.2022.12.268

  6. Antón Corrales, José Manuel / Bucher, Christian / Campos e Matos, José / Cervenka, Vladimir / de Chefdebien, André / Frangopol, Dan M. / Graubner, Carl-Alexander / Hoffmann, Simon / Joglekar, S. G. / Lehký, David / Lolios, Asterios / Maier, Johannes / Meager, David / Paeglitis, Ainars / Novák, Drahomír / Petschacher, Markus / Proske, Dirk / Recupero, Antonino / Straub, Daniel / Suzuki, Motoyuki / Teplý, Bretislav / Wendner, Roman / Zilch, Konrad / Alcocer, Sergio / Calavera, José / Fernández Gómez, Jaime / Nowak, Andrzej / Santa, Ulrich / Taerwe, Luc / Bergmeister, Konrad / Strauss, Alfred (2018): Safety and performance concept. Reliability assessment of concrete structures. fédération internationale du béton (fib), Lausanne (Suisse), ISBN 9782883941267.

    https://doi.org/10.35789/fib.BULL.0086

  7. Šimonová, Hana / Lipowczan, Martin / Rozsypalová, Iva / Daněk, Petr / Lehký, David / Rovnaníková, Pavla / Keršner, Zbynĕk (2021): Fracture parameters of alkali-activated aluminosilicate composites with ceramic precursor: durability aspects. Dans: Procedia Structural Integrity, v. 33 ( 2021).

    https://doi.org/10.1016/j.prostr.2021.10.025

  8. Slowik, Ondřej / Lehký, David / Novák, Drahomír (2021): Reliability‐based optimization of a prestressed concrete roof girder using a surrogate model and the double‐loop approach. Dans: Structural Concrete, v. 22, n. 4 (juin 2021).

    https://doi.org/10.1002/suco.202000455

  9. Pukl, Radomír / Lehký, David / Novák, Drahomír (2018): Towards nonlinear reliability assessment of concrete transport structures. Présenté pendant: IABSE Conference: Engineering the Developing World, Kuala Lumpur, Malaysia, 25-27 April 2018.

    https://doi.org/10.2749/kualalumpur.2018.0330

  10. Lehký, David / Kucharczyková, Barbara / Šimonová, Hana / Daněk, Petr (2022): Comprehensive fracture tests of concrete for the determination of mechanical fracture parameters. Dans: Structural Concrete, v. 23, n. 1 (janvier 2022).

    https://doi.org/10.1002/suco.202000496

  11. Pan, Lixia / Novak, Lukas / Lehký, David / Novák, Drahomír / Cao, Maosen (2021): Neural network ensemble-based sensitivity analysis in structural engineering: Comparison of selected methods and the influence of statistical correlation. Dans: Computers & Structures, v. 242 (janvier 2021).

    https://doi.org/10.1016/j.compstruc.2020.106376

  12. Strauss, Alfred / Novák, Drahomír / Lehký, David / Vořechovský, Miroslav / Teplý, Bretislav / Pukl, Radomír / Cervenka, Vladimir / Eichinger‐Vill, Eva M. / Santa, Ulrich (2019): Safety analysis and reliability assessment of engineering structures – The success story of SARA. Dans: ce/papers, v. 3, n. 2 (avril 2019).

    https://doi.org/10.1002/cepa.986

  13. Pukl, Radomír / Sajdlová, Tereza / Novák, Drahomír / Lehký, David (2015): Fracture-Mechanical Parameters for Modeling of Quasi-Brittle Materials and Structures. Dans: Advanced Materials Research, v. 1106 (juin 2015).

    https://doi.org/10.4028/www.scientific.net/AMR.1106.106

  14. Doležel, Jiří / Šomodíková, Martina / Lehký, David / Novák, Drahomír (2015): Application of Probabilistic Methods for the Assessment of Structural Load Bearing Capacity. Dans: Advanced Materials Research, v. 1106 (juin 2015).

    https://doi.org/10.4028/www.scientific.net/AMR.1106.90

  15. Strauss, Alfred / Šomodíková, Martina / Lehký, David / Novák, Drahomír / Bergmeister, Konrad (2018): Nonlinear Finite Element Analysis of Continuous Welded Rail–bridge Interaction: Monitoring-based Calibration. Dans: Journal of Civil Engineering and Management, v. 24, n. 4 (juillet 2018).

    https://doi.org/10.3846/jcem.2018.3050

  16. Lehký, David / Pan, Lixia / Novák, Drahomír / Cao, Maosen / Šomodíková, Martina / Slowik, Ondřej (2019): A comparison of sensitivity analyses for selected prestressed concrete structures. Dans: Structural Concrete, v. 20, n. 1 (février 2019).

    https://doi.org/10.1002/suco.201700291

  17. Lehký, David / Novák, Drahomír / Kucek, Martin / Nezval, Michal (2017): Comparison of methods for determination of load-bearing capacity of I-73 and KA-73 precast concrete bridge beams. Présenté pendant: IABSE Symposium: Engineering the Future, Vancouver, Canada, 21-23 September 2017.

    https://doi.org/10.2749/vancouver.2017.0556

  18. Šomodíková, Martina / Lehký, David (2018): An adaptive ANN-based inverse response surface method. Dans: Beton- und Stahlbetonbau, v. 113 (février 2018).

    https://doi.org/10.1002/best.201800043

  19. Lehký, David / Novák, Drahomír (2012): Solving Inverse Structural Reliability Problem Using Artificial Neural Networks and Small-Sample Simulation. Dans: Advances in Structural Engineering, v. 15, n. 11 (novembre 2012).

    https://doi.org/10.1260/1369-4332.15.11.1911

  20. Šomodíková, Martina / Lehký, David / Doležel, Jiří / Novák, Drahomír (2016): Modeling of degradation processes in concrete: Probabilistic lifetime and load-bearing capacity assessment of existing reinforced concrete bridges. Dans: Engineering Structures, v. 119 (juillet 2016).

    https://doi.org/10.1016/j.engstruct.2016.03.065

  21. Strauss, Alfred / Karimi, Saeed / Šomodíková, Martina / Lehký, David / Novák, Drahomír / Frangopol, Dan M. / Bergmeister, Konrad (2018): Monitoring based nonlinear system modeling of bridge–continuous welded rail interaction. Dans: Engineering Structures, v. 155 (janvier 2018).

    https://doi.org/10.1016/j.engstruct.2017.10.053

  22. Zimmermann, Thomas / Lehký, David / Strauss, Alfred (2016): Correlation among selected fracture-mechanical parameters of concrete obtained from experiments and inverse analyses. Dans: Structural Concrete, v. 17, n. 6 (décembre 2016).

    https://doi.org/10.1002/suco.201500147

  23. Strauss, Alfred / Zimmermann, Thomas / Lehký, David / Novák, Drahomír / Keršner, Zbynĕk (2014): Stochastic fracture-mechanical parameters for the performance-based design of concrete structures. Dans: Structural Concrete, v. 15, n. 3 (septembre 2014).

    https://doi.org/10.1002/suco.201300077

  24. Wendner, Roman / Strauss, Alfred / Bergmeister, Konrad / Novák, Dahomír / Lehký, David / Frangopol, Dan M. (2007): Identification Strategies for Maintenance of Bridges. Présenté pendant: IABSE Symposium: Improving Infrastructure Worldwide, Weimar, Germany, 19-21 September 2007.

    https://doi.org/10.2749/weimar.2007.0289

  25. Strauss, Alfred / Bergmeister, Konrad / Novák, Drahomír / Lehký, David (2004): Stochastische Parameteridentifikation bei Konstruktionsbeton für die Betonerhaltung. Dans: Beton- und Stahlbetonbau, v. 99, n. 12 (décembre 2004).

    https://doi.org/10.1002/best.200490282

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