Project detail
Multiscale modelling of spatial variability and crack propagation for sustainable concrete structures
Duration: 1.1.2024 — 31.12.2026
Funding resources
Grantová agentura České republiky - Standardní projekty
On the project
Keywords
multiscale modelling;fracture mechanics;reinforced concrete structures;artificial intelligence;neural networks;crack propagation; sustainability;surrogate model;reinforcement corrosion
Mark
24-10892S
Default language
English
People responsible
Novák Lukáš, doc. Ing., Ph.D. - principal person responsible
Lehký David, prof. Ing., Ph.D. - fellow researcher
Novák Drahomír, prof. Ing., DrSc. - fellow researcher
Sadílková Šomodíková Martina, Ing., Ph.D. - fellow researcher
Vořechovský Miroslav, prof. Ing., Ph.D. - fellow researcher
Units
Institute of Structural Mechanics
- responsible department (27.3.2023 - not assigned)
Institute of Structural Mechanics
- co-beneficiary (1.1.2023 - 31.12.2026)
Results
NOVÁK, D.; NOVÁK, L.; LEHKÝ, D.; STRAUSS, A.; TAUBLING-FRULEUX, B. Reliability assessment of historical reinforced concrete bridge piers based on nonlinear fracture mechanics modeling and safety formats. 12th International Conference on Fracture Mechanics for Concrete and Concrete Structures. 12. IA-FraMCoS, 2025. p. 1-9.
Detail
VOŘECHOVSKÝ, M. Active Learning for Efficient Rare Event Probability Estimation and Sensitivity Analyses in Highly Nonlinear Systems. In Lecture Notes in Civil Engineering. Lecture Notes in Civil Engineering. CHAM: SPRINGER INTERNATIONAL PUBLISHING AG, 2024. p. 324-333. ISBN: 978-3-031-60271-9. ISSN: 2366-2557.
Detail
VEČEŘE, J.; NOVÁK, D.; KOTYNIA, R.; SZCZECH, D.; KASZUBSKA, M. MODELLING OF SHEAR STRENGTH OF CONCRETE BEAMS WITH STEEL AND GFRP REINFORCEMENT. Sborník vědeckých prací Vysoké školy báňské – Technické univerzity Ostrava, 2024, vol. 24, no. 1, p. 1-6. ISSN: 1213-1962.
Detail
NOVÁK, L.; GAKIS, A.; KŘÍŽEK, M.; NOVÁK, D.; SPYRIDIS, P. Uncertainty Quantification of Soil-Structure Interaction in Tunnel Linings by Polynomial Chaos Expansion. In 20th International Probabilistic Workshop. Springer Science and Business Media Deutschland GmbH, 2024. p. 512-519. ISBN: 9783031602702.
Detail
ŠPLÍCHAL, B.; LEHKÝ, D.; ŠIMONOVÁ, H.; KUCHARCZYKOVÁ, B.; LAMPEROVÁ, K. Solving inverse problems using machine learning-aided optimization method. In 15th fib International PhD Symposium in Civil Engineering. Budapest: International Federation for Structural Concrete, 2024. p. 533-540. ISBN: 978-2-940643-24-0.
Detail
Responsibility: Novák Lukáš, doc. Ing., Ph.D.