Chapter
Apr 17, 2018
Structures Congress 2018

Application of a Sequence-Free Iterative Structural Identification Framework for Reserve Capacity Estimation of a Steel-Concrete Composite Bridge

Publication: Structures Congress 2018: Bridges, Transportation Structures, and Nonbuilding Structures

ABSTRACT

Most civil engineering structures are designed using justifiably conservative models with the goal of achieving life-safety. The use of conservative models during design and safe construction practices creates reserve capacity enabling structures to last well beyond their design life. Understanding structural behaviour can enhance the effectiveness of asset-management tasks such as retrofit or replacement of these structures. With advances in sensing and computing technology, it is now possible to interpret vast amounts of measurement data to evaluate structural performance. In this paper, the application of a sequence-free iterative structural identification framework on a steel-concrete composite bridge is presented. The iterative nature of decision-making is illustrated through varying conditions during the service life of the bridge, in this case increased traffic intensity. The engineer utilises new information as it becomes available to update knowledge of structural behaviour and thus update predictions of reserve capacity.

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ACKNOWLEDGEMENTS

This work was funded by the Swiss National Science Foundation under contract no. 200020-169026 and Singapore-ETH Centre (SEC) under contract no. FI 370074011-370074016. The authors would like to acknowledge the assistance provided by A. Nussbaumer in elaboration of the case study and fatigue-life evaluation.

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Published In

Go to Structures Congress 2018
Structures Congress 2018: Bridges, Transportation Structures, and Nonbuilding Structures
Pages: 275 - 286
Editor: James Gregory Soules, CB&I
ISBN (Online): 978-0-7844-8133-2

History

Published online: Apr 17, 2018
Published in print: Apr 17, 2018

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Authors

Affiliations

Sai Ganesh S. Pai [email protected]
Doctoral Assistant, Applied Computing and Mechanics Laboratory (IMAC), School of Architecture, Civil and Environmental Engineering (ENAC), Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland. E-mail: [email protected]
Ian F. C. Smith [email protected]
Professor, Applied Computing and Mechanics Laboratory (IMAC), School of Architecture, Civil and Environmental Engineering (ENAC), Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland. E-mail: [email protected]

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