Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Lifetime maximum load effects on short-span bridges subject to growing traffic volumes
Highlights Growing traffic volumes have been modelled for short span bridges (up to 30m). Maximum lifetime loading effects for different lifetimes and return periods are computed. A mixture of distributions to represent different types of vehicle has been used for optimal model fitting. Stationary analysis of traffic is proved to be nonconservative.
Abstract This paper investigates the phenomenon of growth in truck volumes during the lifetime of a bridge and the influence of that growth on characteristic maximum load effects. The study uses Weigh-in-Motion (WIM) data from the Netherlands to calibrate Monte Carlo simulation of load effects on a range of bridge spans. For short spans, the distribution of 25-day maximum data is Weibull. As span increases, a better fit is obtained with a mixture that separates low loader vehicles from all others. Growth is addressed by assuming constant, linear or quadratic variations in the properties of the best-fit Generalized Extreme Value distributions. The principle of parsimony is used to select the most appropriate fit. Growth is shown to change the nature of the trend on probability paper, shifting the curves to the right. While the influence of growth is relatively modest, fitting non-stationary data to a stationary curve gives erroneous results.
Lifetime maximum load effects on short-span bridges subject to growing traffic volumes
Highlights Growing traffic volumes have been modelled for short span bridges (up to 30m). Maximum lifetime loading effects for different lifetimes and return periods are computed. A mixture of distributions to represent different types of vehicle has been used for optimal model fitting. Stationary analysis of traffic is proved to be nonconservative.
Abstract This paper investigates the phenomenon of growth in truck volumes during the lifetime of a bridge and the influence of that growth on characteristic maximum load effects. The study uses Weigh-in-Motion (WIM) data from the Netherlands to calibrate Monte Carlo simulation of load effects on a range of bridge spans. For short spans, the distribution of 25-day maximum data is Weibull. As span increases, a better fit is obtained with a mixture that separates low loader vehicles from all others. Growth is addressed by assuming constant, linear or quadratic variations in the properties of the best-fit Generalized Extreme Value distributions. The principle of parsimony is used to select the most appropriate fit. Growth is shown to change the nature of the trend on probability paper, shifting the curves to the right. While the influence of growth is relatively modest, fitting non-stationary data to a stationary curve gives erroneous results.
Lifetime maximum load effects on short-span bridges subject to growing traffic volumes
OBrien, E.J. (Autor:in) / Bordallo-Ruiz, A. (Autor:in) / Enright, B. (Autor:in)
Structural Safety ; 50 ; 113-122
19.05.2014
10 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Lifetime maximum load effects on short-span bridges subject to growing traffic volumes
| British Library Online Contents | 2014
Lifetime maximum load effects on short-span bridges subject to growing traffic volumes
| Online Contents | 2014
Lifetime Deflections of Long-Span Bridges under Dynamic and Growing Traffic Loads
| Online Contents | 2017
Lifetime Deflections of Long-Span Bridges under Dynamic and Growing Traffic Loads
| British Library Online Contents | 2017