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Probabilistic models for resistance variables in fib Model Code 2020 for design and assessment

Authors :
Miroslav Sýkora
Wouter Botte
Robby Caspeele
Dimitris Diamantidis
Aurelio Muttoni
Raphaël D.J.M. Steenbergen
Source :
Acta Polytechnica CTU Proceedings, Vol 36, Pp 206-215 (2022)
Publication Year :
2022
Publisher :
CTU Central Library, 2022.

Abstract

The fib Model Code offers pre-normative guidance based on the synthesis of international research, industry and engineering expertise. Its new edition (draft MC 2020) will bring together coherent knowledge and experience for both the design of new concrete structures and the assessment of existing concrete structures. This contribution presents an overview of the main developments related to the partial factors for materials. In the draft MC2020, the partial factors are presented in tables for clusters of cases depending on consequence classes and variability of basic variables. Furthermore, formulas and background information are provided to facilitate updating of the partial factors. This contribution discusses the different assumptions adopted in MC 2020 for design and assessment. Main changes with respect to the previous version are related to description of the difference between in-situ concrete strength and the material strength measured on control specimens, and to modelling of geometrical variables. The presented comparison of the requirements imposed by Eurocodes and MC 2020 for design reveals insignificant differences. The assessment requirements may be decreased by about 25% when the conditions specified in MC 2020 are satisfied. Hence, the revised MC 2020 will provide designers and code makers with wider possibilities to utilise actual data and long-term experience in assessments of existing structures.

Details

Language :
English
ISSN :
23365382 and 39594025
Volume :
36
Database :
Directory of Open Access Journals
Journal :
Acta Polytechnica CTU Proceedings
Publication Type :
Academic Journal
Accession number :
edsdoj.7891136b395940258c97c711fae33b5e
Document Type :
article
Full Text :
https://doi.org/10.14311/APP.2022.36.0206