Performance assessment of concrete structures based on probabilistic prediction models and monitoring information
|
Bibliographic Details
Author(s): |
Alfred Strauss
(University of Natural Resources and Life Sciences, Vienna, Austria)
Ivan Zambon (University of Natural Resources and Life Sciences, Vienna, Austria) Anja Vidovic (University of Natural Resources and Life Sciences, Vienna, Austria) Konrad Bergmeister (University of Natural Resources and Life Sciences, Vienna, Austria) Dan Frangopol (Lehigh University, Bethlehem, PA, USA) |
||||
---|---|---|---|---|---|
Medium: | conference paper | ||||
Language(s): | English | ||||
Conference: | IABSE Conference: Structural Engineering: Providing Solutions to Global Challenges, Geneva, Switzerland, September 2015 | ||||
Published in: | IABSE Conference Geneva 2015 | ||||
|
|||||
Page(s): | 1120-1127 | ||||
Total no. of pages: | 8 | ||||
Year: | 2015 | ||||
DOI: | 10.2749/222137815818358402 | ||||
Abstract: |
An efficient evaluation and prediction of mechanical and chemical degradation processes is fundamental requirement for life-cycle analysis as well as for the complete assessment of concrete structures. Important tools and valuable support in these tasks are inspection systems and monitoring methods. Unfortunately, due to their practical feasibility and costs they entail, their applicability is limited. Hence, information gathered with inspection and monitoring methods need to be used in the most effective manner The aim of this paper is to present a framework for the prediction of time-dependent performance indicators of concrete structures prone to fatigue, with emphasis on a wind turbine foundation. A theoretical background with selected indicators is presented through associated life-cycle prediction methods including inspection and monitoring information with incorporated reliability. |
||||
Keywords: |
LCA life-cycle analysis performance indicators probabilistic performance prediction efficient maintenance
|