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Life time assessment of steel bridges via monitoring and testing
The prediction of a realistic lifetime and the prolongation of the service life of a structure are important factors to reduce costs. The commonly used theoretical predictions of fatigue in steel-structures have often not proven to be accurate. The commonly used prediction model consists of a load model, a system-transfer model and a damage model. The results of these sequentially coupled models are usually unreliable, especially as the influence of the uncertain load and damage models controls the reliability of the result. A method based on monitoring strategies which avoids these problems is presented in this paper. To avoid the damage model, an artificial generated time history is used as an input for the digitally controlled test rig, in which a specimen of the actual constructional detail, or even a part of it, is tested. Following this concept, the knowledge of the critical details in the structure is of particular importance. In old structures the choice of the few details at which the monitoring is necessary can be done in a deterministic way. In contrast, new structures normally cover a broad range of critical details with an equally distributed failure level. Monitoring of all these points is far too expensive. Software is presented here to determine the critical details in a probabilistic way.
Life time assessment of steel bridges via monitoring and testing
The prediction of a realistic lifetime and the prolongation of the service life of a structure are important factors to reduce costs. The commonly used theoretical predictions of fatigue in steel-structures have often not proven to be accurate. The commonly used prediction model consists of a load model, a system-transfer model and a damage model. The results of these sequentially coupled models are usually unreliable, especially as the influence of the uncertain load and damage models controls the reliability of the result. A method based on monitoring strategies which avoids these problems is presented in this paper. To avoid the damage model, an artificial generated time history is used as an input for the digitally controlled test rig, in which a specimen of the actual constructional detail, or even a part of it, is tested. Following this concept, the knowledge of the critical details in the structure is of particular importance. In old structures the choice of the few details at which the monitoring is necessary can be done in a deterministic way. In contrast, new structures normally cover a broad range of critical details with an equally distributed failure level. Monitoring of all these points is far too expensive. Software is presented here to determine the critical details in a probabilistic way.
Life time assessment of steel bridges via monitoring and testing
Die Lebensdauerbestimmung von Stahlbrücken mittels Überwachung und Prüfung
Peil, U. (author) / Frenz, M. (author) / Schendel, I. (author)
2008
6 Seiten, 6 Bilder, 11 Quellen
Conference paper
Storage medium
English
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