Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Modelling of Traffic Loads in a Full-Probabilistic Reassessment of Rural Bridges Based on Measurement Data – A Case Study
Bridges have been subjected to increasing traffic loads over the last decades. But not all road bridges are equally affected by traffic today - some bridges experience heavier traffic, while others do not experience intense traffic loads. Especially rural bridges are often significantly less stressed than assumed by the codes. As the preservation of infrastructure becomes important in the context of resource-efficient construction practices, new and more realistic approaches for the modelling of traffic loads are desirable. In a probabilistic calculation it is possible to use data from actual on site measurements for the assessment of bridges. If no measurement data about the traffic load is available, one can only use values from literature. Currently, there is only few specific data available about the choice for the coefficient of variation for traffic loads. Further there is no clear distinction between highway and rural road traffic. This article presents the past and current load models from the codes for bridges in Germany as well as the available recommendations for the modelling of traffic loads for probabilistic calculations from literature. On the example of the Heinrich’s bridge Bamberg, where a measurement of traffic was conducted over several months recently, a dataset for the values of mean, standard deviation and coefficient of variation is given. The four span steel bridge with an orthotropic deck from 1974 carries a state road in Bavaria over a river. A contribution for the values of variability in traffic loads for road bridges with local traffic is provided.
Modelling of Traffic Loads in a Full-Probabilistic Reassessment of Rural Bridges Based on Measurement Data – A Case Study
Bridges have been subjected to increasing traffic loads over the last decades. But not all road bridges are equally affected by traffic today - some bridges experience heavier traffic, while others do not experience intense traffic loads. Especially rural bridges are often significantly less stressed than assumed by the codes. As the preservation of infrastructure becomes important in the context of resource-efficient construction practices, new and more realistic approaches for the modelling of traffic loads are desirable. In a probabilistic calculation it is possible to use data from actual on site measurements for the assessment of bridges. If no measurement data about the traffic load is available, one can only use values from literature. Currently, there is only few specific data available about the choice for the coefficient of variation for traffic loads. Further there is no clear distinction between highway and rural road traffic. This article presents the past and current load models from the codes for bridges in Germany as well as the available recommendations for the modelling of traffic loads for probabilistic calculations from literature. On the example of the Heinrich’s bridge Bamberg, where a measurement of traffic was conducted over several months recently, a dataset for the values of mean, standard deviation and coefficient of variation is given. The four span steel bridge with an orthotropic deck from 1974 carries a state road in Bavaria over a river. A contribution for the values of variability in traffic loads for road bridges with local traffic is provided.
Modelling of Traffic Loads in a Full-Probabilistic Reassessment of Rural Bridges Based on Measurement Data – A Case Study
Lecture Notes in Civil Engineering
Matos, José C. (Herausgeber:in) / Lourenço, Paulo B. (Herausgeber:in) / Oliveira, Daniel V. (Herausgeber:in) / Branco, Jorge (Herausgeber:in) / Proske, Dirk (Herausgeber:in) / Silva, Rui A. (Herausgeber:in) / Sousa, Hélder S. (Herausgeber:in) / Kainz, Christian (Autor:in) / Lapidus, Leo (Autor:in) / Braml, Thomas (Autor:in)
International Probabilistic Workshop ; 2024 ; Guimarães, Portugal
06.07.2024
12 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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Probabilities of traffic loads on bridges
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