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Probabilistic modeling of leakage through tension‐cracked reinforced concrete water retaining structures considering autogenous self‐sealing
Author(s) -
Way Andrew C.,
Viljoen Celeste
Publication year - 2021
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.202000454
Subject(s) - leakage (economics) , materials science , structural engineering , reinforced concrete , tension (geology) , water leakage , probabilistic logic , geotechnical engineering , water flow , composite material , engineering , computer science , ultimate tensile strength , artificial intelligence , economics , macroeconomics
The beneficial effect of the autogenous self‐sealing of cracks has been relied upon implicitly in the design of concrete water retaining structures for many years. The degree to which it can be relied upon to retard leakage through cracks in water retaining structures has, to date, not been quantified in probabilistic terms. Previous research identified the crack width as a critical parameter in the autogenous self‐sealing of flow through cracks in tension‐cracked, reinforced concrete. In this research, two experimental databases are collected and compiled, and are used to probabilistically model the prediction of initial flow through, and the subsequent leakage through tension cracks considering the effects of self‐sealing. The total leakage is characterized as a function of crack width range, identifying the notable effect of increasing crack width on increased leakage duration and magnitude. This research is a first step toward quantifying the achieved SLS reliability for water retaining structures.