Project detail

New methods in theoretical and computational structural mechanics

Duration: 01.03.2024 — 28.02.2025

Funding resources

Brno University of Technology - Vnitřní projekty VUT

- whole funder (2024-01-01 - 2025-12-31)

On the project

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.

Mark

FAST-S-24-8503

Default language

Czech

People 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
Eliáš Jan, prof. Ing., Ph.D. - principal person responsible

Units

Institute of Structural Mechanics
- internal (2024-01-01 - 2024-12-31)
Faculty of Civil Engineering
- beneficiary (2024-01-01 - 2024-12-31)

Results

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

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

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