Back to Search Start Over

Das neue <bold><italic>fib</italic></bold> Bulletin 80 – Teilsicherheitsbeiwerte für die Nachrechnung bestehender Massivbauwerke.

Authors :
Weber, Michael
Caspeele, Robby
Schnell, Jürgen
Glock, Christian
Botte, Wouter
Source :
Beton- Und Stahlbetonbau. Apr2018, Vol. 113 Issue 4, p264-274. 11p.
Publication Year :
2018

Abstract

Abstract: &lt;bold&gt;Partial factor methods for existing concrete structures&lt;/bold&gt; In literature different methods for the reliability‐based assessment of existing concrete structures have been developed. Nevertheless, a consistent reliability‐based assessment framework and a practically applicable codified approach which is compatible to the Eurocodes and accessible for common structural engineering problems in everyday practice is still missing. Currently the assessment of existing structures is mostly based on simplified procedures based on the partial factor method, commonly applied for the design of new structures. Such an assessment of an existing structure may lead to conservative results and expensive rehabilitation and strengthening measures. Therefore, the fib Task Group 3.1 “Reliability and safety evaluation: full‐probabilistic and semi‐probabilistic methods for existing structures” developed the new &lt;italic&gt;fib&lt;/italic&gt; Bulletin 80 [1] “Partial factor methods for existing concrete structures”. The new Bulletin 80 includes modified partial factors for materials and actions. In the present contribution, based on &lt;italic&gt;fib&lt;/italic&gt; Bulletin 80 [1], two methods for the modification of partial factors for the assessment of existing structures are presented. Furthermore, different methods for the adaption of the target reliability index are described. Finally, the approach is explained, using an example. [ABSTRACT FROM AUTHOR]

Details

Language :
German
ISSN :
00059900
Volume :
113
Issue :
4
Database :
Academic Search Index
Journal :
Beton- Und Stahlbetonbau
Publication Type :
Academic Journal
Accession number :
128999095
Full Text :
https://doi.org/10.1002/best.201700104