Tento projekt je spolufinancován se státní podporou Technologické agentury ČR v rámci 4. veřejná soutěž programu DELTA2
www.tacr.cz
Výzkum užitečný pro společnost.

Detail projektu

A concrete bridge health interpretation system based on mutual boost of big data and physical mechanism

Období řešení: 01.01.2023 — 31.12.2025

Zdroje financování

Technologická agentura ČR - 4. veřejná soutěž programu DELTA2

- plně financující (2023-01-05 - 2025-12-31)

O projektu

Operational inspection of concrete bridges is an important means of ensuring safe and reliable operation, and thus eliminating partial operational problems or even catastrophic accidents. It is significantly used in planning the maintenance and repair of bridges during their life cycle. Its role is also important in detecting sudden or unpredictable loads, such as earthquakes, strong winds or ship collisions. It allows to set the current limits within which the bridge can be operated. Operational control of bridges is a global topic and represents a multidisciplinary area of research in which it is necessary to integrate a number of methods and approaches to determine the current state of bridges and predict future behavior to ensure their long-term operational reliability. The project will create an operational control system based on condition monitoring and numerical simulation of the structure, both in real, respectively. virtual time and space. By monitoring the condition of the bridge, up-to-date information on the load and behavior of the structure is obtained, which is processed and interpreted accordingly. The numerical simulation will then focus on the prediction of the bridge behavior in selected time nodes, including the prediction of damage and degradation and analysis of ultimate load carrying capacity and reliability. The basis of the operational control system for concrete bridges will be to ensure the data flow between monitoring and simulation.

Klíčová slova
Bridges; concrete; reliability; health monitoring; simulation

Označení

TM04000012

Originální jazyk

angličtina

Řešitelé

Novák Drahomír, prof. Ing., DrSc. - hlavní řešitel

Útvary

Ústav stavební mechaniky
- spolupříjemce (23.06.2022 - nezadáno)
Červenka Consulting, s.r.o
- příjemce (01.01.2023 - 31.12.2025)

Výsledky

NOVÁK, L.; SHIELDS, M.; SADÍLEK, V.; VOŘECHOVSKÝ, M. LOCALIZED APPROXIMATIONS BY POLYNOMIAL CHAOS EXPANSIONS FOR HIGHLY NON-LINEAR FUNCTIONS. In UNCECOMP 2023 Proceedings. Athens, Greece: National Technical University of Athens, 2023. p. 158-164. ISBN: 9786185827021.
Detail

ŠPLÍCHAL, B.; LEHKÝ, D. Damage Identification Using Artificial Neural Network-Aided Aimed Multilevel Sampling Method. Transactions of the VŠB – Technical University of Ostrava, Civil Engineering Series, 2023, vol. 23, no. 2, p. 61-66. ISSN: 1804-4824.
Detail

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

SPYRIDIS, P.; NOVÁK, L.; NOVÁK, D.; BERGMEISTER, K. Advanced semi-probabilistic methods for the design and assessment of concrete tunnel linings. In Expanding Underground. Knowledge and Passion to Make a Positive Impact on the World. USA: CRC Press/Balkema, 2023. p. 976-984. ISBN: 9781003348030.
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

KŘÍŽEK, M.; NOVÁK, L. Uncertainty Quantification of Existing Bridge using Polynomial Chaos Expansion. Transactions of the VŠB – Technical University of Ostrava, Civil Engineering Series, 2023, vol. 23, no. 2, p. 13-19. ISSN: 1804-4824.
Detail

FU, R.; CAO, M.; NOVÁK, D.; QIAN, X.; ALKAYEM, N. Extended efficient convolutional neural network for concrete crack detection with illustrated merits. AUTOMATION IN CONSTRUCTION, 2023, vol. 156, no. 105098, ISSN: 0926-5805.
Detail

NOVÁK, D. FReET: Software for Uncertainties Propagation. 2023. p. 150-1 (150-3 p.)
Detail

NOVÁK, L.; NOVÁK, D.: GramCharlier; GramCharlier. Ústav stavební mechaniky, Fakulta stavební, Vysoké učení technické v Brně. URL: https://www.fce.vutbr.cz/stm/novak.l/GCexp/GCexp.html. (software)
Detail

Odpovědnost: Novák Drahomír, prof. Ing., DrSc.