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Realistic traffic-data based load models for existing road bridges

 Realistic traffic-data based load models for existing road bridges
Autor(en): ,
Beitrag für IABSE Congress: Challenges in Design and Construction of an Innovative and Sustainable Built Environment, Stockholm, Sweden, 21-23 September 2016, veröffentlicht in , S. 246-255
DOI: 10.2749/stockholm.2016.0239
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In the context of an increased importance of reassessment of existing bridge structures and the resulting need for more realistic and precise descriptions of traffic load impact on bridges, a resea...
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Bibliografische Angaben

Autor(en): (Technical University of Munich, Chair of Concrete and Masonry Structures, Munich, Germany)
(Technical University of Munich, Chair of Concrete and Masonry Structures, Munich, Germany)
Medium: Tagungsbeitrag
Sprache(n): Englisch
Tagung: IABSE Congress: Challenges in Design and Construction of an Innovative and Sustainable Built Environment, Stockholm, Sweden, 21-23 September 2016
Veröffentlicht in:
Seite(n): 246-255 Anzahl der Seiten (im PDF): 10
Seite(n): 246-255
Anzahl der Seiten (im PDF): 10
Jahr: 2016
DOI: 10.2749/stockholm.2016.0239
Abstrakt:

In the context of an increased importance of reassessment of existing bridge structures and the resulting need for more realistic and precise descriptions of traffic load impact on bridges, a research project has been initiated, aiming for development of site-specific traffic load models and evaluation of their potential when applied within the scope of reassessment. The object of investigation is the federal highway BAB A92 in Bavaria, Germany. Based on large sets of recorded traffic data provided from permanent measurement stations, extensive numerical traffic simulations are performed. By evaluation of the structural response for selected bridge systems due to this simulated traffic and subsequent statistical extrapolation to extreme load effects, characteristic values of traffic load effects with defined return periods in accordance with requirements from the Eurocode are obtained, serving as base for calibration of site-specific load models.

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