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Appl. Sci. 2017, 7(5), 518; doi:10.3390/app7050518

Fire Damage Assessment of Reinforced Concrete Structures Using Fuzzy Theory

1
Department of Architectural Engineering, University of Seoul, Seoul 02504, Korea
2
SAMPYO P&C, Seoul 03152, Korea
3
Fire Safety Research Division, Korea Institute of Construction Technology, Hwaseong-si 18544, Gyeonggi-do, Korea
*
Author to whom correspondence should be addressed.
Academic Editors: Gangbing Song, Chuji Wang and Bo Wang
Received: 30 March 2017 / Revised: 4 May 2017 / Accepted: 9 May 2017 / Published: 16 May 2017
(This article belongs to the Special Issue Structural Health Monitoring (SHM) of Civil Structures)
View Full-Text   |   Download PDF [5271 KB, uploaded 16 May 2017]   |  

Abstract

Once a reinforced concrete (RC) structure is damaged by fire, the fire damage assessment should proceed to take appropriate post-fire actions, including the decision-making of whether it can be repaired for reuse or not. Since the assessment results of current fire damage diagnosis methods, however, highly depend on the subjective judgment of inspectors, it is hard to ensure their objectiveness and reliability. This study, therefore, aims to develop a new fire damage diagnosis system (FDDS) based on fuzzy theory that can provide objective and comprehensive evaluation results by considering all of the damage conditions observed from the inspection on RC structural members exposed to fire. In addition, the FDDS was applied to an actual fire-damaged case reported by the Architectural Institute of Japan (AIJ, 2009), and it appears that the proposed method provides a reasonable estimation on the fire damage grade of the fire-damaged RC members. View Full-Text
Keywords: fuzzy; inference; min-max; fire diagnosis; reinforced concrete fuzzy; inference; min-max; fire diagnosis; reinforced concrete
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Cho, H.-C.; Lee, D.H.; Ju, H.; Park, H.-C.; Kim, H.-Y.; Kim, K.S. Fire Damage Assessment of Reinforced Concrete Structures Using Fuzzy Theory. Appl. Sci. 2017, 7, 518.

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