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A Fuzzy Diagnostic Model for Diagnosing Cracks in Reinforced Concrete Structures
Author(s) -
Chao ChingJu,
Cheng FuPing
Publication year - 1996
Publication title -
computer‐aided civil and infrastructure engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.773
H-Index - 82
eISSN - 1467-8667
pISSN - 1093-9687
DOI - 10.1111/j.1467-8667.1996.tb00315.x
Subject(s) - fuzzy logic , fuzzy set , structural engineering , set (abstract data type) , reinforced concrete , computer science , engineering , artificial intelligence , programming language
A fuzzy diagnostic model based on the concept of cause‐and‐effect diagraming and fuzzy set theory is presented. Two levels of parameters representing the causes of cracks in concrete are used to form fuzzy sets. The parameters represent materials used, fabrication of structural elements, loading, and environmental conditions. An expert system that links the parameters by means of fuzzy set theory is constructed using finite universal sets consisting of membership functions and fuzzy vectors. The model is capable of interpreting the causes of crack formation by means of a cause‐and‐effect diagram. Two examples are presented to demonstrate the effectiveness of the model in diagnosing crack formation in reinforced concrete structures.