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A local, data-based approach for SHM-based point ranking of bridges

A local, data-based approach for SHM-based point ranking of bridges
Author(s): ,
Presented at IABSE Conference: Structural Engineering: Providing Solutions to Global Challenges, Geneva, Switzerland, September 2015, published in , pp. 969-976
DOI: 10.2749/222137815818358187
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The present paper presents a conceptual approach to combine, via a point ranking method, monitoring data with data arising from visual inspections, in order to maximize the outcome of information u...
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Bibliographic Details

Author(s): (COWI A/S, Kongens Lyngby, Denmark)
(COWI A/S, Kongens Lyngby, Denmark)
Medium: conference paper
Language(s): English
Conference: IABSE Conference: Structural Engineering: Providing Solutions to Global Challenges, Geneva, Switzerland, September 2015
Published in:
Page(s): 969-976 Total no. of pages: 8
Page(s): 969-976
Total no. of pages: 8
Year: 2015
DOI: 10.2749/222137815818358187
Abstract:

The present paper presents a conceptual approach to combine, via a point ranking method, monitoring data with data arising from visual inspections, in order to maximize the outcome of information used to operate and maintain bridges. Firstly, an overview over current approaches for interpreting monitoring data is given as well as an overview over Operation and Maintenance (O&M) strategies. Then, two examples are shown to illustrate how monitoring data can be used for predicting remaining life of key bridge components such as welded joints or movable joints. Finally, a conceptual approach is outlined describing how monitoring information in terms of the estimated remaining lives can be combined with inspection data via Point Ranking methods to enhance inspection and maintenance planning and budgeting, hence contributing to bridge the gap between Structural Health Monitoring (SHM), visual inspections and bridge management (O&M) strategies.

Keywords:
bridge fatigue assessment structural health monitoring bridge management system inspections Point Ranking Methods