TY - CONF A1 - Thöns, S. A1 - Schneider, Ronald A1 - Faber, M.H. ED - Haukaas, T. T1 - Quantification of the value of structural health monitoring information for fatigue deteriorating structural systems T2 - ICASP 12 - 12th International conference on applications of statistics and probability in civil engineering (Proceedings) N2 - This paper addresses the quantification of the value of structural health monitoring (SHM) before its implementation for structural systems on the basis of its Value of Information (VoI). The value of SHM is calculated utilizing the Bayesian pre-posterior decision analysis modelling the structural life cycle performance, the integrity management and the structural risks. The relevance and precision of SHM information for the reduction of the structural system risks and the expected cost of the structural integrity management throughout the life cycle constitutes the value of SHM and is quantified with this framework. The approach is focused on fatigue deteriorating structural steel systems for which a continuous resistance deterioration formulation is introduced. In a case study, the value of SHM for load monitoring is calculated for a Daniels system subjected to fatigue deterioration. The influence of and the value of SHM in regard to the structural system risks and the integrity management is explicated and explained. The results are pointing to the importance of the consideration of the structural system risks for the quantification of the value of SHM. T2 - ICASP 12 - 12th International conference on applications of statistics and probability in civil engineering CY - Vancouver, Canada DA - 12.07.2015 PY - 2015 DO - https://doi.org/10.14288/1.0076284 SP - Paper 605, 1 EP - 8 AN - OPUS4-34332 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Schneider, Ronald A1 - Thöns, S. A1 - Fischer, J. A1 - Bügler, M. A1 - Borrmann, A. A1 - Straub, D. T1 - A software prototype for assessing the reliability of a concrete bridge superstructure subjected to chloride-induced reinforcement corrosion T2 - Life-cycle of structural systems - IALCCE 2014 - 4th International symposium on life-cycle civil engineering (Proceedings) N2 - A software prototype is developed for assessing and updating the reliability of single-cell prestressed concrete box girders subjected to chloride-induced reinforcement corrosion. The underlying system model consists of two integrated sub-models: a condition model for predicting the deterioration state of the box girder and a structural model for evaluating the overall system reliability. The condition model is based on a dynamic Bayesian network (DBN) model which considers the spatial variation of the corrosion process. Inspection data are included in the calculation of the system reliability through Bayesian updating on the basis of the DBN model. To demonstrate the effect of partial inspections, the software prototype is applied to a case study of a typical highway bridge with six spans. The case study illustrates that it is possible to infer the condition of uninspected parts of the structure due to the spatial correlation of the corrosion process. T2 - IALCCE 2014 - 4th International symposium on life-cycle civil engineering CY - Tokyo, Japan DA - 16.11.2014 PY - 2015 SN - 978-1-138-00120-6 SP - 846 EP - 853 PB - Taylor & Francis CY - London AN - OPUS4-32220 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Schneider, Ronald A1 - Fischer, J. A1 - Bügler, M. A1 - Nowak, M. A1 - Thöns, S. A1 - Borrmann, A. A1 - Straub, D. T1 - Assessing and updating the reliability of concrete bridges subjected to spatial deterioration - principles and software implementation JF - Structural concrete N2 - Inspection and maintenance of concrete bridges is a major cost factor in transportation infrastructure, and there is significant potential for using information gained during inspection to update predictive models of the performance and reliability of such structures. In this context, this paper presents an approach for assessing and updating the reliability of prestressed concrete bridges subjected to chloride-induced reinforcement corrosion. The system deterioration state is determined based on a Dynamic Bayesian Network (DBN) model that considers the spatial variability of the corrosion process. The overall system reliability is computed by means of a probabilistic structural model coupled with the deterioration model. Inspection data are included in the system reliability calculation through Bayesian updating on the basis of the DBN model. As proof of concept, a software prototype is developed to implement the method presented here. The software prototype is applied to a typical highway bridge and the influence of inspection information on the system deterioration state and the structural reliability is quantified taking into account the spatial correlation of the corrosion process. This work is a step towards developing a software tool that can be used by engineering practitioners to perform reliability assessments of ageing concrete bridges and update their reliability with inspection and monitoring data. KW - Structural reliability KW - Dynamic Bayesian Networks KW - Spatial deterioration KW - Inspection KW - Monitoring general KW - Analysis and design methods KW - Reinforcement KW - Corrosion KW - Prestressed concrete PY - 2015 DO - https://doi.org/10.1002/suco.201500014 SN - 1464-4177 VL - 16 IS - 3 SP - 356 EP - 365 PB - Ernst & Sohn CY - Berlin AN - OPUS4-34336 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -