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Performance assessment of concrete structures based on probabilistic prediction models and monitoring information

 Performance assessment of concrete structures based on probabilistic prediction models and monitoring information
Autor(en): ORCID, , , ,
Beitrag für IABSE Conference: Structural Engineering: Providing Solutions to Global Challenges, Geneva, Switzerland, September 2015, veröffentlicht in , S. 1120-1127
DOI: 10.2749/222137815818358402
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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 structu...
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Bibliografische Angaben

Autor(en): ORCID (University of Natural Resources and Life Sciences, Vienna, Austria)
(University of Natural Resources and Life Sciences, Vienna, Austria)
(University of Natural Resources and Life Sciences, Vienna, Austria)
(University of Natural Resources and Life Sciences, Vienna, Austria)
(Lehigh University, Bethlehem, PA, USA)
Medium: Tagungsbeitrag
Sprache(n): Englisch
Tagung: IABSE Conference: Structural Engineering: Providing Solutions to Global Challenges, Geneva, Switzerland, September 2015
Veröffentlicht in:
Seite(n): 1120-1127 Anzahl der Seiten (im PDF): 8
Seite(n): 1120-1127
Anzahl der Seiten (im PDF): 8
Jahr: 2015
DOI: 10.2749/222137815818358402
Abstrakt:

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.