Abstract
This paper addresses the influence of deteriorating brittle Daniels system characteristics on the value of structural health monitoring (SHM). The value of SHM is quantified as the difference between the life cycle benefits with and without SHM. A value of SHM analysis is performed within the framework of the Bayesian pre-posterior decision theory and requires (1) structur
al performance modelling and prediction, (2) structural integrity management models, (3) the (pre-posterior) modelling of SHM and (4) the coupling of SHM and the structural performance models. The pre-posterior decision theoretical framework facilitates that the value of SHM can be quantified before the SHM system is quantified and before data are acquired. The results of this study support decisions to select structural systems for which the SHM strategy load monitoring is optimal.
al performance modelling and prediction, (2) structural integrity management models, (3) the (pre-posterior) modelling of SHM and (4) the coupling of SHM and the structural performance models. The pre-posterior decision theoretical framework facilitates that the value of SHM can be quantified before the SHM system is quantified and before data are acquired. The results of this study support decisions to select structural systems for which the SHM strategy load monitoring is optimal.
| Original language | English |
|---|---|
| Publication date | 2016 |
| Number of pages | 9 |
| Publication status | Published - 2016 |
| Event | 8th European Workshop On Structural Health Monitoring (EWSHM 2016) - Bilbao, Spain Duration: 5 Jul 2016 → 8 Jul 2016 Conference number: 8 |
Conference
| Conference | 8th European Workshop On Structural Health Monitoring (EWSHM 2016) |
|---|---|
| Number | 8 |
| Country/Territory | Spain |
| City | Bilbao |
| Period | 05/07/2016 → 08/07/2016 |
Keywords
- Value of information
- Structural performance
- Deterioration
- Daniels systems