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Reliability-based bridge assessment using enhanced Monte Carlo to simulate extreme traffic loading

Enright, B., Hajializadeh, D. and Obrien, E.J. (2013) Reliability-based bridge assessment using enhanced Monte Carlo to simulate extreme traffic loading In: 11th International Conference on Structural Safety and Reliability (ICOSSAR 2013), 2013-06-16-2013-06-20, New York, USA.

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Abstract

A framework is presented for the assessment of the safety of a bridge deck under actual traffic loading using an enhanced Monte Carlo method which attempts to reduce computational cost while preserving the advantages of more conventional, computationally intensive, simulation. To generate the bridge loading scenarios, an extensiveWeigh-in-Motion (WIM) database is used to calibrate a sophisticated simulation model of two-directional traffic. Traffic and vehicle characteristics are generated from statistical distributions derived from measured traffic data. Two examples are used in this study to assess the usefulness and accuracy of the enhanced method. In the first, a simple example is used for which the exact theoretical probability of failure is available. Hence, the error in estimation can be assessed directly. In the second, 'long-run' simulations are used to generate a very large database of load effects from which very accurate estimates can be deduced of lifetime maximum effects. © 2013 Taylor & Francis Group, London.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Civil and Environmental Engineering
Authors :
NameEmailORCID
Enright, B.
Hajializadeh, D.d.hajializadeh@surrey.ac.uk
Obrien, E.J.
Date : 2013
DOI : 10.21427/D7M227
Copyright Disclaimer : This Conference Paper is brought to you for free and open access by the School of Civil and Structural Engineering at ARROW@DIT. It has been accepted for inclusion in Conference papers by an authorized administrator of ARROW@DIT. For more information, please contact yvonne.desmond@dit.ie, arrow.admin@dit.ie, brian.widdis@dit.ie. This work is licensed under a Creative Commons Attribution- Noncommercial-Share Alike 3.0 License
Uncontrolled Keywords : Bridge assessment; Computational costs; Probability of failure; Reliability-based; Simulation model; Statistical distribution; Vehicle characteristics; Very large database; Computer simulation; Monte Carlo methods; Safety engineering; Traffic surveys; Reliability
Related URLs :
Depositing User : Diane Maxfield
Date Deposited : 21 Mar 2019 16:15
Last Modified : 21 Mar 2019 16:15
URI: http://epubs.surrey.ac.uk/id/eprint/850846

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