Publication Cover
Structure and Infrastructure Engineering
Maintenance, Management, Life-Cycle Design and Performance
Volume 1, 2005 - Issue 2
260
Views
17
CrossRef citations to date
0
Altmetric
Original Articles

Assessment of bridges via monitoring

Pages 101-117 | Received 23 May 2004, Accepted 02 Jun 2004, Published online: 16 Feb 2007
 

Abstract

The prediction of a realistic life cycle and the extension of the service life is an important task in reducing costs of civil engineering structures in the future. The paper first gives an overview of the necessary steps of the overall procedure of a precise life cycle assessment. The knowledge of the existing, inherent damage of a structure is an essential prerequisite for life cycle prediction. A theoretical and an experimental approach to determine the inherent damage is described. The paper concludes with the presentation of a fairly precise method to assess the fatigue life cycle of steel bridges. The methods are developed besides others at the Collaborative-Research-Center “Monitoring of Structures” at the Technical University at Braunschweig, Germany.

Acknowledgements

The financial support of the Deutsche Forschungsgemeinschaft DFG (German Science Foundation) within the framework of the Collaborative Research Centre SFB 477 “Monitoring of Structures” is gratefully acknowledged.

Notes

First published online 2 March 2005.

Additional information

Notes on contributors

Udo Peil

First published online 2 March 2005.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 298.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.