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Project detail
Duration: 01.01.2022 — 31.12.2024
Funding resources
Czech Science Foundation - Standardní projekty
- whole funder (2022-04-13 - 2024-12-31)
On the project
The proposed project is focused on systematic development of all aspects and methods needed for efficient probabilistic life-cycle assessment in bridge structural engineering based on stochastic nonlinear computational mechanics. The need to work effectively with time demanding computational models at stochastic level is the main motivation of the project. Methods in substituting the initial expensive model by a simpler model, fast to evaluate, are needed. The metamodelling methods will be therefore developed based on polynomial chaos expansion and artificial neural networks within the framework of the project. Project results will contribute to the development and application of advance techniques for complex fully probabilistic assessment of concrete bridges considering uncertainties. Importance of the project is expected mainly in utilization of multi-fidelity modelling concept, verification and application of developed methods for complex problems in structural concrete bridge engineering.
KeywordsProbabilistic assessment;Surrogate modelling;Bridge engineering;Life-cycle;Structural reliability
Mark
22-00774S
Default language
English
People responsible
Novák Drahomír, prof. Ing., DrSc. - principal person responsible
Units
Institute of Structural Mechanics- (2021-03-25 - not assigned)
Results
ŠOMODÍKOVÁ, M.; SLOWIK, O.; LEHKÝ, D.; DOLEŽEL, J. Deterioration-based probabilistic assessment of design resistance of railway bridge. In Bridge Safety, Maintenance, Management, Life-Cycle, Resilience and Sustainability - Proceedings of the 11th International Conference on Bridge Maintenance, Safety and Management (IABMAS 2022), Barcelona, Spain, July 11–15, 2022. 1. London, UK: CRC Press/Balkema, Taylor & Francis Group, 2022. p. 339-347. ISBN: 978-1-032-35623-5.Detail
WANG, X.; STRAUSS, A.; RANDL, N.; BOCCHINI, P. Uncertainty quantification in the strain response of prestressed reinforced concrete structures using fractile based sampling. Structure & Infrastructure Engineering - Online, 2024, vol. 20, no. 5, p. 771-789. ISSN: 1744-8980.Detail
ŠPLÍCHAL, B.; LEHKÝ, D.; DOLEŽEL, J. Semi and fully-probabilistic nonlinear analysis of post-tensioned concrete bridge made of KT-24 girders. Transactions of the VŠB – Technical University of Ostrava, Civil Engineering Series, 2023, vol. 23, no. 1, p. 26-35. ISSN: 1804-4824.Detail
ŠOMODÍKOVÁ, M.; DOLEŽEL, J. Životnost betonových konstrukcí: matematické modelování degradačních procesů dle TP 175, ISO 16204 a fib Model Code. Beton TKS, 2022, roč. 2022, č. 4/2022, s. 74-79. ISSN: 1213-3116.Detail
ŠOMODÍKOVÁ, M.; LIPOWCZAN, M.; LEHKÝ, D. Determination of concrete fracture parameters using inverse analysis: Influence of the tensile softening model. In Procedia Structural Integrity. Procedia Structural Integrity. Materials Structure & Micromechanicas of Fracture. Elsevier, 2023. p. 258-263. ISSN: 2452-3216.Detail
NOVÁK, D.; PUKL, R. 70 years old concrete bridge - is it still safe for the today´s heavy traffic?. 10th ICCSM 10th International Congress of Croatian Society of Mechanics. 2022. p. 211-212. ISBN: 9772584771003.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
ŠOMODÍKOVÁ, M.; DOLEŽEL, J.; LEHKÝ, D. On Mathematical Models of Degradation Processes According to ISO16204 and fib Model Code. In EUROSTRUCT 2023 - European Association on Quality Control of Bridges and Structures: Digital Transformation in Sustainability. ce/papers. Berlin, Germany: Ernst & Sohn, 2023. p. 1221-1227. ISSN: 2509-7075.Detail
LEHKÝ, D.; NOVÁK, L.; NOVÁK, D. Surrogate Modeling for Stochastic Assessment of Engineering Structures. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Germany: Springer Science and Business Media Deutschland GmbH, 2023. p. 388-401. ISBN: 9783031258909.Detail
NOVÁK, L.; NOVÁK, D. Recent Advances in Polynomial Chaos Expansion: Theory, Applications and Software. Transactions of the VŠB – Technical University of Ostrava, Civil Engineering Series, 2023, vol. 23, no. 2, p. 47-53. ISSN: 1804-4824.Detail
NOVÁK, L.; SHIELDS, M.; SADÍLEK, V.; VOŘECHOVSKÝ, M. Active learning-based domain adaptive localized polynomial chaos expansion. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2023, vol. 204, no. 1, ISSN: 0888-3270.Detail
GRANZNER, M.; STRAUSS, A.; REITERER, M.; CAO, M.; NOVÁK, D. Data-Driven Condition Assessment and Life Cycle Analysis Methods for Dynamically and Fatigue-Loaded Railway Infrastructure Components. Infrastructures, 2023, vol. 8, no. 11, p. 1-19. ISSN: 2412-3811.Detail
NOVÁK, D.; PUKL, R. Advanced Integrated Assessment of Concrete Bridges Considering Nonlinearities, Uncertainties and Degradation. In Volume 2950: Structural and Physical Aspects of Construction Engineering 2022 (SPACE 2022). AIP conference proceedings. AIP Publishing, 2023. p. 020022-1 (0220022-7 p.)ISBN: 9780735447615. ISSN: 0094-243X.Detail
NOVÁK, D.; LEHKÝ, D. Performance prediction & modelling including advanced models. In fib Bulletin No. 109, Existing Concrete Structures Life Management, Testing and Structural Health Monitoring. fib, 2023. p. 60-82. ISBN: 978-2-88394-172-4.Detail
ŠPLÍCHAL, B.; LEHKÝ, D.; DOLEŽEL, J. Semi-probabilistic nonlinear assessment of post-tensioned concrete bridge made of KT-24 girders. In Current Perspectives and New Directions in mechanics, modelling and design of structural systems – Zingoni (ed.). Cape Town: CRC Press Taylor & Francis Group, 2022. p. 1208-1214. ISBN: 978-1-003-34844-3.Detail