Project detail

Semi-probabilistic Assessment of Existing Bridges: Findings from Austria and Czech Republic (SAEB: AT-CZ)

Duration: 01.07.2022 — 31.12.2022

Funding resources

Ministerstvo školství, mládeže a tělovýchovy ČR - AKTION Česká republika - Rakousko

- whole funder

On the project

This project is focused on investigation of advances in semi-probabilistic assessment of existing bridges. Both research teams have recent experiences from practical applications of advanced methods for existing structures and they cooperate with industrial representatives in order to enhance safety and reliability of existing bridges as crucial part of infrastructure. During the project, both teams will present their recent results and findings during their two visits of partners institutions, and they will discuss about possibilities of further research. Besides research potential of this project, it is also unique opportunity for students to see applications of the state-of-the-art methods and discuss with researchers.

Keywords
semi-probablistic approach, structural reliability, existing structures

Default language

English

People responsible

Strauss Alfred, prof., Ph.D. - fellow researcher
Novák Lukáš, doc. Ing., Ph.D. - principal person responsible

Units

Institute of Structural Mechanics
- beneficiary (2022-07-01 - 2022-12-31)

Results

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

NOVÁK, D.; STRAUSS, A.; NOVÁK, L.; LEHKÝ, D.; ŠOMODÍKOVÁ, M.; LIPOWCZAN, M.; SLOWIK, O.; DOLEŽEL, J.; PUKL, R.; SATTLER, F.; APOSTOLIDI, E. Nonlinear probabilistic structural assessment: Findings from Austrian and Czech bridges. In EUROSTRUCT 2023 - European Association on Quality Control of Bridges and Structures: Digital Transformation in Sustainability. ce/papers. Berlin, Germany: Ernst & Sohn GmbH & Co. KG., 2023. p. 1242-1251. ISSN: 2509-7075.
Detail