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Statistical evaluation of monitored data intended for fatigue reliability assessment
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Structural Design and Bridges (name changed 20110630). (Brobyggnad)ORCID iD: 0000-0002-2833-4585
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Structural Design and Bridges (name changed 20110630). (Brobyggnad)ORCID iD: 0000-0002-5447-2068
(English)In: Structural Safety, ISSN 0167-4730, E-ISSN 1879-3355Article in journal (Other academic) Submitted
Keyword [en]
monitoring, analysis of variance, fatigue, stress range, railway bridge, bridge assessment
National Category
Civil Engineering
Identifiers
URN: urn:nbn:se:kth:diva-28617OAI: oai:DiVA.org:kth-28617DiVA: diva2:388653
Note

QCR 20161212

Available from: 2011-01-20 Created: 2011-01-18 Last updated: 2017-12-11Bibliographically approved
In thesis
1. Improving a bridge fatigue life prediction by monitoring
Open this publication in new window or tab >>Improving a bridge fatigue life prediction by monitoring
2010 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

For steel railway bridges, fatigue is the main reason for a limited service life. An initial prediction of the fatigue life is usually performed using loads and conservative assumptions stated in the governing standards. The result is used for decisions of further actions. Even if the result is an insufficient residual life, some bridges are not easy to strengthen or replace without causing large traffic disturbance. In this licentiate thesis, the real load effect is studied by monitoring a bridge during service. The aim is to improve the fatigue life prediction by reducing the uncertainties in the traffic load and finally attain a longer theoretical service life of the bridge.

A case study of the Söderström Bridge in central Stockholm, one of Sweden’s most important railway bridges, is incorporated in the studies. Previously performed theoretical assessments have shown alarming results regarding the remaining fatigue life for some of the structural members in the bridge. To verify the result and hopefully receive more favorable stress ranges, the bridge was instrumented with a monitoring system in 2008. The bridge and the monitoring campaign are thoroughly presented. Owing to the large data volume produced by the monitoring system, robust routines and procedures for quality assurance have been required. A deterministic fatigue assessment is presented based on 43 days of continuous measurements comprising more than 17 thousand train passages. Unfortunately, also this fatigue assessment indicates high fatigue damages.

A large monitoring system with many gauges enables a statistical evaluation of the quality of the measurements. By the principle of Analysis of Variance, a comparison of the stress range spectra can be performed with the aim of finding deviant spectra and corrupt gauges. An additional aspect is the length of the monitoring period, meaning the required duration for obtaining a stable result. A model for the convergence progress is proposed which could be incorporated in a monitoring system for use during service.

The extensive monitoring program of the Söderström Bridge has resulted in reliable stress range spectra. By curve fitting and goodness-of-fit tests measured spectra have been compared with known statistical distributions. These distributions can be used for future fatigue reliability assessments.

Place, publisher, year, edition, pages
Stockholm: KTH, 2010
Series
Trita-BKN. Bulletin, ISSN 1103-4270 ; 106
National Category
Civil Engineering
Identifiers
urn:nbn:se:kth:diva-28618 (URN)
Presentation
2011-01-21, Sal B1, Brinellvägen 23, Stockholm, 13:00 (Swedish)
Opponent
Supervisors
Note
QC 20110120Available from: 2011-01-20 Created: 2011-01-18 Last updated: 2011-01-20Bibliographically approved

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Leander, JohnKaroumi, Raid

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CiteExportLink to record
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