Societal aspects of bridge management and safety in the Netherlands

The main reason for the existence of civil infrastructures is public interest. Therefore, various societal aspects should drive an infrastructure program. Civil infrastructures are long-lived as-sets. Bridges and other structures are designed for lifetimes of 50 to 100 years. A bridge can last much longer from a technical point of view, providing the original functionality it is designed for does not change too much. The functional lifetime is often dominant and the shortest. Bridges become obsolete, because they are functional outdated. A careful choice of require-ments for a bridge is crucial in fulfilling societal needs, not only now, but also in the future. Functional requirements in a decision-theoretic concept direct technical solutions to societal needs using reliability, availability, maintainability, and safety (RAMS) requirements. This will be explained in Section 2. The cost of maintenance is substantial in the long run, because it de-pends on design choices made. For this kind of problems, a life-cycle costing (LCC) approach is an absolute necessity to ensure an integral view on the various costs that have to be spent in dif-ferent time frames to operate the infrastructure. The performance of bridges and bridge ele-ments, their deterioration and its influence on the performance and effectiveness of maintenance can be evaluated from historical data. We should invest in learning from the past'. For this pur-pose, a powerful tool is data mining in bridge management systems. Results of models and data in the Netherlands will be presented in Section 3. The last section of the paper evaluates the de-cision-theoretic results that are obtained in the Netherlands so far. The need for an effective communication will be discussed in this last section as well.

[1]  A van der Toorn THE MAINTENANCE OF CIVIL ENGINEERING STRUCTURES , 1994 .

[2]  Rommert Dekker,et al.  On the impact of optimisation models in maintenance decision making: the state of the art , 1998 .

[3]  Dan M. Frangopol,et al.  Two probabilistic life-cycle maintenance models for deteriorating civil infrastructures , 2004 .

[4]  Dan M. Frangopol,et al.  Probabilistic models for life‐cycle performance of deteriorating structures: review and future directions , 2004 .

[5]  Marvin Zelen,et al.  Mathematical Theory of Reliability , 1965 .

[6]  Dan M. Frangopol,et al.  RELIABILITY-BASED LIFE-CYCLE MANAGEMENT OF HIGHWAY BRIDGES , 2001 .

[7]  Jan M. van Noortwijk,et al.  Explicit formulas for the variance of discounted life-cycle cost , 2003, Reliab. Eng. Syst. Saf..

[8]  D. Dantzig Economic decision problems for flood prevention , 1956 .

[9]  J. Moubray Reliability-Centered Maintenance , 1991 .

[10]  R. Melchers Corrosion uncertainty modelling for steel structures , 1999 .

[11]  J. M. van Noortwijk,et al.  LIFE-CYCLE COST APPROACH TO BRIDGE MANAGEMENT IN THE NETHERLANDS , 2003 .

[12]  G.C.M. Gaal,et al.  Prediction of Deterioration of concrete bridges , 2004 .

[13]  O. D. Dijkstra,et al.  Probabilistic Maintenance Planning For the Tubular Joints In the Steel Gates In the Eastern Scheldt Storm Surge Barrier , 1996 .

[14]  Rüdiger Rackwitz Optimizing systematically renewed structures , 2001, Reliab. Eng. Syst. Saf..

[15]  J. M. van Noortwijk,et al.  The use of lifetime distributions in bridge maintenance and replacement modelling , 2004 .

[16]  Maarten-Jan Kallen,et al.  Statistical inference for Markov deterioration models of bridge conditions in The Netherlands , 2006 .