Computers and Concrete

  • 제3권2_3호
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  • Pages.145-161
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  • 2006
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  • 1598-8198(pISSN)
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  • 1598-818X(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Fuzzy inference based cover thickness estimation of reinforced concrete structure quantitatively considering salty environment impact

  • Do, Jeong-Yun (Research Center of Industrial Technology, Chonbuk National University)
  • 투고 : 2006.03.13
  • 심사 : 2006.06.20
  • 발행 : 2006.04.01
⟨ 이전 논문 다음 논문 ⟩

초록

This article involves architecting prototype-fuzzy expert system for designing the nominal cover thickness by means of fuzzy inference for quantitatively representing the environment affecting factor to reinforced concrete in chloride-induced corrosion environment. In this work, nominal cover thickness to reinforcement in concrete was determined by the sum of minimum cover thickness and tolerance to that defined from skill level, constructability and the significance of member. Several variables defining the quality of concrete and environment affecting factor (EAF) including relative humidity, temperature, cyclic wet and dry, and the distance from coast were treated as fuzzy variables. To qualify EAF the environment conditions of cycle degree of wet-dry, relative humidity, distance from coast and temperature were used as input variables. To determine the nominal cover thickness a qualified EAF, concrete grade, and watercement ratio were used. The membership functions of each fuzzy variable were generated from the engineering knowledge and intuition based on some references as well as some international codes of practice.

키워드

참고문헌

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피인용 문헌

  1. Neuro-fuzzy based prediction of the durability of self-consolidating concrete to various sodium sulfate exposure regimes vol.5, pp.6, 2008, https://doi.org/10.12989/cac.2008.5.6.573