Design-related reassessment of structures integrating Bayesian updating of model safety factors
- In the semi-probabilistic approach of structural design, the partial safety factors are defined by considering some degree of uncertainties to actions and resistance, associated with the parameters’ stochastic nature. However, uncertainties for individual structures can be better examined by incorporating measurement data provided by sensors from an installed health monitoring scheme. In thisIn the semi-probabilistic approach of structural design, the partial safety factors are defined by considering some degree of uncertainties to actions and resistance, associated with the parameters’ stochastic nature. However, uncertainties for individual structures can be better examined by incorporating measurement data provided by sensors from an installed health monitoring scheme. In this context, the current study proposes an approach to revise the partial safety factor for existing structures on the action side, γE by integrating Bayesian model updating. A simple numerical example of a beam-like structure with artificially generated measurement data is used such that the influence of different sensor setups and data uncertainties on revising the safety factors can be investigated. It is revealed that the health monitoring system can reassess the current capacity reserve of the structure by updating the design safety factors, resulting in a better life cycle assessment of structures. The outcome is furthermore verified by analysing a real life small railway steel bridge ensuring the applicability of the proposed method to practical applications.…
Document Type: | Article |
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Author: | Dr.-Ing. Sharmistha ChowdhuryORCiDGND, Prof. Dr.-Ing. Matthias KrausORCiDGND |
DOI (Cite-Link): | https://doi.org/10.1016/j.rineng.2022.100560Cite-Link |
URN (Cite-Link): | https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20221028-47294Cite-Link |
URL: | https://www.sciencedirect.com/science/article/pii/S2590123022002304?via%3Dihub |
Parent Title (English): | Results in Engineering |
Publisher: | Elsevier |
Place of publication: | Amsterdam |
Language: | English |
Date of Publication (online): | 2022/08/05 |
Date of first Publication: | 2022/08/05 |
Release Date: | 2022/10/28 |
Publishing Institution: | Bauhaus-Universität Weimar |
Institutes and partner institutions: | Fakultät Bauingenieurwesen / Professur Stahl- und Hybridbau |
Volume: | 2022 |
Issue: | Volume 16, article 100560 |
Pagenumber: | 13 |
First Page: | 1 |
Last Page: | 1 |
Tag: | OA-Publikationsfonds2022 Bayesian parameter update; Life cycle assessment; Safety factor; Structural health monitoring; Uncertainty |
GND Keyword: | Lebenszyklus; Sicherheitsfaktor; Ungewissheit; Umweltbilanz |
Dewey Decimal Classification: | 600 Technik, Medizin, angewandte Wissenschaften |
BKL-Classification: | 56 Bauwesen |
Open Access Publikationsfonds: | Open-Access-Publikationsfonds 2022 |
Licence (German): | Creative Commons 4.0 - Namensnennung-Nicht kommerziell-Keine Bearbeitung (CC BY-NC-ND 4.0) |