TY  - JOUR
A1  - Chowdhury, Sharmistha
A1  - Kraus, Matthias
T1  - Design-related reassessment of structures integrating Bayesian updating of model safety factors
T2  - Results in Engineering
N2  - 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 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.
KW  - Lebenszyklus
KW  - Sicherheitsfaktor
KW  - Structural health monitoring
KW  - Safety factor
KW  - Life cycle assessment
KW  - Uncertainty
KW  - Bayesian parameter update
KW  - Ungewissheit
KW  - Umweltbilanz
KW  - OA-Publikationsfonds2022
Y1  - 2022
UR  - https://e-pub.uni-weimar.de/opus4/frontdoor/index/index/docId/4729
UR  - https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20221028-47294
UR  - https://www.sciencedirect.com/science/article/pii/S2590123022002304?via%3Dihub
VL  - 2022
IS  - Volume 16, article 100560
SP  - 1
EP  - 1
PB  - Elsevier
CY  - Amsterdam
ER  -