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.show moreshow less

Download full text files

  • Gefördert durch das Programm Open Access Publizieren der DFG und den Publikationsfonds der Bauhaus-Universität Weimar.

Export metadata

Metadaten
Document Type:Article
Author:Dr.-Ing. Sharmistha ChowdhuryORCiDGND, Prof. Dr.-Ing. Matthias KrausGND
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: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):License Logo Creative Commons 4.0 - Namensnennung-Nicht kommerziell-Keine Bearbeitung (CC BY-NC-ND 4.0)