The effects of deterioration models on the value of damage detection information

Lijia Long (1) , Sebastian Thöns (2) , Michael Döhler (3)

1 BAM Federal Institute for Materials Research and Testing
2 DTU - Danmarks Tekniske Universitet = Technical University of Denmark
3 I4S - Statistical Inference for Structural Health Monitoring

This paper addresses the effects of the deterioration on the value of damage detection information. The quantification of the value of damage detection information for deteriorated structures is based on Bayesian pre-posterior decision analysis, comprising structural system performance models, consequence, benefit and costs models and damage detection information models throughout the service life of a structural system. The value of damage detection information accounts for the relevance and precision of the information to ensure the structural integrity and to reduce the potential structural system risks and expected costs throughout the ser-vice life before implementing damage detection system. With the developed approach, the value of damage detection information for a statically determinate Pratt truss bridge girder subjected to different deterioration models is calculated. The analysis shows the impact of the deterioration model parameters on the value of damage detection information. The results can be used to develop optimal maintenance strategies before implementation of the damage detection system.

Domaines: Génie civil

Lijia Long, Sebastian Thöns, Michael Döhler. The effects of deterioration models on the value of damage detection information. IALCCE 2018 - 6th International Symposium on Life-Cycle Civil Engineering, Oct 2018, Ghent, Belgium. pp.1-8. ⟨hal-01912766⟩