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Stochastic fracture‐mechanical parameters for the performance‐based design of concrete structures
Author(s) -
Strauss Alfred,
Zimmermann Thomas,
Lehký David,
Novák Drahomír,
Keršner Zbyněk
Publication year - 2014
Publication title -
structural concrete
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.912
H-Index - 34
eISSN - 1751-7648
pISSN - 1464-4177
DOI - 10.1002/suco.201300077
Subject(s) - brittleness , fracture (geology) , fracture mechanics , probabilistic logic , characterization (materials science) , flexural strength , properties of concrete , structural engineering , materials science , point (geometry) , compressive strength , computer science , composite material , engineering , mathematics , geometry , artificial intelligence , nanotechnology
The experimental results for quasi‐brittle materials such as concrete and fibre‐reinforced concrete exhibit high variability due to the heterogeneity of their aggregates, additives and general composition. An accurate assessment of the fracture‐mechanical parameters of such materials (e.g. compressive strength f c and specific fracture energy G f ) turns out to be much more difficult and problematic than for other engineering materials. The practical design of quasi‐brittle material‐based structures requires virtual statistical approaches, simulations and probabilistic assessment procedures in order to be able to characterize the variability of these materials. A key parameter of non‐linear fracture mechanics modelling is the specific fracture energy G f and its variability, which has been a research subject for numerous authors although we will mention only [1, 2] at this point. The aim of this contribution is the characterization of stochastic fracture‐mechanical properties of four specific, frequently used classes of concrete on the basis of a comprehensive experimental testing programme.