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Integrity Assessment for Reinforced Concrete Structures Using Fuzzy Decision Making  

손용우 (원광대학교 토목환경공학부)
정영채 (군산대학교 토목공학)
김종길 (군산대학교 토목공학과)
Publication Information
Journal of the Computational Structural Engineering Institute of Korea / v.17, no.2, 2004 , pp. 131-140 More about this Journal
Abstract
It really needs fuzzy decision making of integrity assessment considering about both durability and load carrying capacity for maintenance and administration, such as repairing and reinforcing. This thesis shows efficient models about reinforced concrete structure using CART-ANFIS. It compares and analyzes decision trees parts of expert system, using the theory of fuzzy, and applying damage & diagnosis at reinforced concrete structure and decision trees of integrity assessment using established artificial neural. Decided the theory of reinforcement design for recovery of durability at damaged concrete ＆ the theory of reinforcement design for increasing load carrying capacity keep stability of damage and detection. It is more efficient maintenance and administration at reinforced concrete for using integrity assessment model of this study and can carry out predicting cost of life cycle.
Keywords
ANFIS(adaptive neuro-fuzzy inference system); damage factor; classification tree; regression tree; decision tree;
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