Filtern
Erscheinungsjahr
- 2017 (4) (entfernen)
Dokumenttyp
Sprache
- Englisch (4) (entfernen)
Schlagworte
- Bauwerksmonitoring (3)
- Bridge (3)
- Brücke (3)
- Structural health monitoring (3)
- Ausrüstung (2)
- Belastung (2)
- Bewertung (2)
- Datenbasis (2)
- Equipment (2)
- Evaluation (assessment) (2)
Institut
- Abteilung Brücken- und Ingenieurbau (4) (entfernen)
The current maintenance management for bridges is mainly based on visual inspection and aims at the repair of identified damages. In the project cluster "Smart Bridge" an adaptive system for holistic evaluation in real time is developed. The following pilot studies show significant aspects of the Smart Bridge. Within the research project "Digital Test Area Autobahn" a new constructed prestressed concrete bridge is implemented with instrumented expansion joints and bearings, a "RTMS©" and a sensor network. By using analytical bridge models and evaluation methods the condition and reliability of the bridge as well as the remaining service life is determined. In the pilot study "duraBASt" sensors for the detection of durability and structural safety as well as data analyzing and evaluation procedures are investigated. The aim of this study is the partial implementation of the aspects: data collection, data processing and model development for condition assessment of the bridge.
The case study "Digital Test Area Autobahn" is presented. A new built (September 2016) pre-stressed concrete bridge is equipped with different monitoring systems for the detection of traffic load, climatic influence and the reaction of the bridge. Possibilities for the implementation of a VoI (Value of Information) analyses are presented.
In future, additional and more detailed data are needed about the current conditions of bridges for preventive maintenance management. Monitoring procedures are not merely able to provide key performance indicators for a specific point in time, but also over a period. These KPIs must be selected in such a way as to permit substantiated statements about the present and future condition of bridges. For this reason, greater efforts must be made to define the significant KPIs for the various types of bridges, and show how these figures can be reliably determined. Both the COST Action TU1402, and TU1406 offer important approaches which, properly combined, can deliver substantial added value to the calculation and description of the condition of bridges in the interest of proactive maintenance management.
Efficient and widely available transport infrastructure is one of the most important prerequisites for sustainable economic development to meet the demand for mobility. In this context, being able to manage traffic growth forecasts is of particular importance. In Germany, current forecasts indicate a 40% increase in rail and road transport in the country. However, about 60% of bridges (as measured by bridge area) on the national German highway system that are suitable for freight transport were built before 1985. In other transport sectors as well, aging infrastructure is one of the key challenges for the availability and the resilience of European transport infrastructure. Many bridges in the national German highway system are already at their load-bearing limit. Furthermore, required maintenance measures have not been adequately carried out in the past due to limited budgets, leading to overall bridge deterioration. Further challenges for owners and operators of transport infrastructure result from the effects of climate change, associated climate extremes, natural catastrophes, and possible criminal and terrorist threats. To ensure that future infrastructure challenges can be successfully addressed, strategies and solutions must be developed and implemented in a timely manner to enable holistic and sustainable life-cycle management. The concepts of Resilience Management as well as Resilience Engineering are essential building blocks in this process. Resilience is the ability to survive in the face of a complex, uncertain, and ever-changing future. It is a way of thinking about both short-term cycles and long-term trends. Using this concept, owners and operators can reduce the risk of disruption in the face of shocks and stresses. Resilience requires cyclical, proactive, and holistic risk management practices.