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This study is based on the development and implementation of the REVE system, an acquisition system of traffic load effects over long periods, from one to several years. The objective is to measure, globally and experimentally, the dynamic effects of real road traffic by measuring strain extrema on a certain number of bridge construction details, using smart sensors networks. It is thus possible to gather information, enriched over a long period, in the form of level crossing and rainflow histograms. The extreme effect amplitudes, versus different return periods, are deduced from level crossing histograms through Rice formula fittings. The calculation of fatigue damage using rainflow histograms, Palmgren-Miner law and SN curves, is refined by integrating long term available data. The data acquired through the REVE system can also be used for assessing the dynamic impact factor. The paper presents an application of the REVE system and of the different data processing for the particular bridge: the Bruneseau bridge.
This study is based on the development and implementation of the REVE system, an acquisition system of traffic load effects over long periods, from one to several years. The objective is to measure, globally and experimentally, the dynamic effects of real road traffic by measuring strain extrema on a certain number of bridge construction details, using smart sensors networks. It is thus possible to gather information, enriched over a long period, in the form of level crossing and rainflow histograms. The extreme effect amplitudes, versus different return periods, are deduced from level crossing histograms through Rice formula fittings. The calculation of fatigue damage using rainflow histograms, Palmgren-Miner law and SN curves, is refined by integrating long term available data. The data acquired through the REVE system can also be used for assessing the dynamic impact factor. The paper presents an application of the REVE system and of the different data processing for the particular bridge: the Bruneseau bridge.
Long term bridge monitoring
Carracilli, Jean (Autor:in)
Revue Française de Génie Civil ; 5 ; 469-482
01.06.2001
14 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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