Publication

Reliability based fatigue assessment of existing motorway bridge

Alain Nussbaumer
2015
Journal Articles

Abstract

This paper provides an original framework for the fatigue reliability analysis of a road bridge; the framework is applied to the Venoge bridge, a composite steel concrete bridge within the A1 Swiss highway. Two critical details are selected by inspection: a longitudinal weld attachment and a cover plate welded attachment. Weigh in Motion (WIM) data from Denges station (1 km far from the bridge) and a refined three-dimensional Finite Element (FE) model of the bridge are used to get realistic time-stress response at two critical locations. The fatigue failure probability of the bridge at two selected locations under the long-term effect of highway traffic is calculated for a 100 year-design life. The original contribution consists in computing the failure probability as joint probability of two events: (1) the exceeding of the constant amplitude fatigue limit (CAFL); and (2) the critical fatigue damage accumulation. The results show that fatigue is not a concern both for the longitudinal attachment detail and for the cover plate detail. (C) 2015 Elsevier Ltd. All rights reserved.

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https://infoscience.epfl.ch/entities/publication/ae39b0e0-de8f-49e3-a4c6-f9ee637f72c6

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Alain Nussbaumer
2015
Journal Articles

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/ae39b0e0-de8f-49e3-a4c6-f9ee637f72c6

About this result

Related concepts (31)

Failure mode and effects analysis

Failure mode and effects analysis (FMEA; often written with "failure modes" in plural) is the process of reviewing as many components, assemblies, and subsystems as possible to identify potential failure modes in a system and their causes and effects. For each component, the failure modes and their resulting effects on the rest of the system are recorded in a specific FMEA worksheet. There are numerous variations of such worksheets.

Probability

Probability is the branch of mathematics concerning numerical descriptions of how likely an event is to occur, or how likely it is that a proposition is true. The probability of an event is a number between 0 and 1, where, roughly speaking, 0 indicates impossibility of the event and 1 indicates certainty. The higher the probability of an event, the more likely it is that the event will occur. A simple example is the tossing of a fair (unbiased) coin.

Probability distribution

In probability theory and statistics, a probability distribution is the mathematical function that gives the probabilities of occurrence of different possible outcomes for an experiment. It is a mathematical description of a random phenomenon in terms of its sample space and the probabilities of events (subsets of the sample space). For instance, if X is used to denote the outcome of a coin toss ("the experiment"), then the probability distribution of X would take the value 0.5 (1 in 2 or 1/2) for X = heads, and 0.

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Reliability based fatigue assessment of existing motorway bridge

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