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Detail projektu
Období řešení: 01.01.2023 — 31.12.2025
Zdroje financování
Grantová agentura České republiky - Standardní projekty
- plně financující (2023-02-22 - nezadáno)
O projektu
An inherent part of structural mechanics are computer simulations with computational models, where the model output is a complex function of its inputs. The interaction of two, three or more input variables can have a much greater effect on the model output than the sum of the effects of the inputs acting alone. Interaction effects can strongly influence the frequency of rare failure events from such combinations of random realizations of input variables that are important in the assessment of reliability. The main output of the project will be the development of new sensitivity methods aimed mainly at the quantification of interaction effects influencing both the model output and the frequency of rare failure events quantified by probabilistic analysis of the model output. The project focuses on the sensitivity analysis of uncertainty propagation through advanced computational models from inputs to model outputs to reliability assessments. The research will include case studies based on nonlinear computational models of stochastic structural mechanics.
Klíčová slovasensitivity analysis;decision making;importance measures;uncertainties;structures;structural mechanics;reliability;finite element method;optimisation
Označení
23-04712S
Originální jazyk
angličtina
Řešitelé
Kala Zdeněk, prof. Ing., Ph.D. - hlavní řešitel
Útvary
Ústav stavební mechaniky- příjemce (27.03.2022 - 31.12.2025)
Výsledky
LEHKÝ, D., ŠPLÍCHAL, B., LAMPEROVÁ, K., SLOWIK, O. Inverse analysis and optimization-based model updating for structural damage detection. In EUROSTRUCT 2023 - European Association on Quality Control of Bridges and Structures: Digital Transformation in Sustainability. ce/papers. Berlin, Germany: Ernst & Sohn, 2023. p. 1228-1233. ISSN: 2509-7075.Detail
NOVÁK, L.; SHARMA, H.; SHIELDS, M. ON PHYSICALLY CONSTRAINED NON-INTRUSIVE POLYNOMIAL CHAOS EXPANSION. In UNCECOMP 2023 Proceedings. Athens, Greece: National Technical University of Athens, 2023. p. 151-157. ISBN: 9786185827021.Detail
JINDRA, D.; KALA, Z.; KALA, J. Ultimate Load Capacity of Multi-Story Steel Frame Structures with Geometrical Imperfections: A Comparative Study of Two Methods. In Lecture Notes in Civil Engineering. volume 392. Springer Cham, 2023. p. 154-163. ISBN: 978-3-031-44603-0.Detail
JINDRA, D.; KALA, Z.; KALA, J. Two Stochastic Methods to Model Initial Geometrical Imperfections of Steel Frame Structures. Buildings, 2024, vol. 14, no. 1, p. 1-16. ISSN: 2075-5309.Detail
JINDRA, D.; HRADIL, P.; KALA, J. EXPLOSIVE SHAPES IN SMOOTHED-PARTICLE HYDRODYNAMICS (SPH) METHOD FOR STRUCTURAL ANALYSIS OF CONCRETE MEMBERS. In Juniorstav 2024: Proceedings 26th International Scientific Conference Of Civil Engineering. Online: 2024. ISBN: 978-80-86433-83-7.Detail
KALA, Z. Modelling Initial Geometric Imperfections of Steel Plane Frames using Entropy and Eigenmodes. International Journal of Mechanics, 2023, vol. 17, no. 1, p. 64-73. ISSN: 1998-4448.Detail
KALA, Z. Steel Plane Frames: Entropy and Potential Energy of Elastic Buckling Modes. In Conference Proceedings - Modern Building Materials, Structures and Techniques MBMST 2023. Lecture Notes in Civil Engineering. Switzerland: Springer Cham (Spronger Nature Switzerland AG), 2023. p. 164-173. ISBN: 9783031446030. ISSN: 2366-2557.Detail
NOVÁK, L.; SHARMA,H.; SHIELDS, M. Physics-informed polynomial chaos expansions. Journal of Computational Physics, 2024, vol. 506, no. 1, ISSN: 1090-2716.Detail
ŠPLÍCHAL, B., LEHKÝ, D., LAMPEROVÁ, K. Damage detection of riveted truss bridge using ANN-aided AMS optimization method. In Bridge Maintenance, Safety, Management, Digitalization and Sustainability. 1st Edition. London: CRC Press, 2024. p. 2279-2286. ISBN: 9781003483755.Detail
KALA, Z. Strain Energy and Entropy Based Scaling of Buckling Modes. ENTROPY, 2023, vol. 25, no. 12, p. 1-17. ISSN: 1099-4300.Detail