The project will compare homogenization and domain decomposition when applied to elastic discrete heterogeneous medium, develop and test Hybrid ANN-aided aimed multilevel sampling optimization method for inverse problems, predict high-cycle fatigue strength and variance properties by using a discrete fatigue-damage model, investigate and quantify the fatigue behavior of structural high strength steels and perform sensitivity analysis and the parameter identification using the Metamodel of Optimal Prognosis.

FAST-S-24-8503

Czech

Eliáš Jan, prof. Ing., Ph.D. - principal person responsible
Al Khazali Mohammad Sami, Ing. - fellow researcher
Dvořák Tomáš, Ing. - fellow researcher
Hradil Petr, doc. Ing., Ph.D. - fellow researcher
Kučera Michal, Ing. - fellow researcher
Lehký David, prof. Ing., Ph.D. - fellow researcher
Malíková Lucie, Ing., Ph.D. - fellow researcher
Raisinger Jan, Ing. - fellow researcher
Seitl Stanislav, doc. Ing., Ph.D. - fellow researcher
Středulová Monika, M.Sc. - fellow researcher
Šplíchal Bohumil, Ing. - fellow researcher
Vořechovský Miroslav, prof. Ing., Ph.D. - fellow researcher

Institute of Structural Mechanics
- responsible department (1.3.2024 - not assigned)
Institute of Structural Mechanics
- internal (1.1.2024 - 31.12.2024)
Faculty of Civil Engineering
- beneficiary (1.1.2024 - 31.12.2024)

DOUBEK, P.; KOZÁKOVÁ, K.; KUNZ, L.; SEITL, S. Fatigue life of S960 high strength steel with laser cladded functional surface layers. ENGINEERING FAILURE ANALYSIS, 2024, vol. 164, no. 8, p. 1-11. ISSN: 1350-6307.
Detail

CANTELI, A.; CASTILLO, E., DÍAZ-SALAMANCA, D., MUNIZ-CALVENTE, M., SEITL, S. Advances in low cycle fatigue probabilistic modeling. Theoretical and Applied Fracture Mechanics, 2024, vol. 133, no. 8, p. 1-16. ISSN: 0167-8442.
Detail

DOUBEK, P.; KUMPOVÁ, I.; MALÍKOVÁ, L.; AL KHAZALI, M.; SEITL, S. Determination of the geometric parameters of the defects based on the tomographically obtained data and their influence on the fatigue behavior of the S960 with laser cladded protective layers. Frattura ed Integrita Strutturale, 2024, vol. 67, no. 71, p. 67-79. ISSN: 1971-8993.
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

MALÍKOVÁ, L.; MIARKA, P.; SEITL, S. Short fatigue crack behavior under various level of mixed-mode. In Advances in Transdicsciplinary Engineering series. Advances in Transdicsciplinary Engineering series. online: IOS Press, 2024. p. 160-166. ISSN: 2352-7528.
Detail

VOŘECHOVSKÝ, M.; MIČA, L.; BOŠTÍK, J. Shallow foundation design: a comparative study of partial safety factors and full probabilistic methods. Scientific Reports, 2024, vol. 14, no. 1, p. 1-11. ISSN: 2045-2322.
Detail

Responsibility: Eliáš Jan, prof. Ing., Ph.D.