Rough set algorithm for crack category determination of reinforced concrete structures

Kim, Yeong Min; Kim, Chee Kyeong; Lee, Jae Cheol

doi:10.1016/j.advengsoft.2008.04.002

Cited by 10 publications

(2 citation statements)

References 11 publications

(10 reference statements)

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“…Experiments prove that the method can improve the classification efficiency and achieve better classification accuracy. Yeong Min Kim et al [17] 1496…”

Section: Rough Setmentioning

confidence: 99%

A Review of the Research Progress of Structural Damage Identification Method Based on Computational Intelligence Techniques

Xiao

2013

AMM

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This paper presents a comprehensive review of computational Intelligence (CI) technology applied in structural damage identification, clarifies the basic principles of computational intelligence techniques, as well as the applicable difficulties that exist in the field of structural damage identification (SDI) from 6 aspects: fuzzy theory, evidence theory, rough set theory, artificial neural networks, support vector machines and evolutionary computation, and then discussed the applicable prospects of computational Intelligence in SDI. It points out that the reasonable cross-fusion of a variety of CI method to specific research object is a necessary means for SDI research. For economy and practicality considerations, CI is suitable for highly integrated complex structural damage identification.

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“…Experiments prove that the method can improve the classification efficiency and achieve better classification accuracy. Yeong Min Kim et al [17] 1496…”

Section: Rough Setmentioning

confidence: 99%

A Review of the Research Progress of Structural Damage Identification Method Based on Computational Intelligence Techniques

Xiao

2013

AMM

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“…Furuta and Hirokane (1998) applied RST to acquire the experiential knowledge contained in diagnostic cases which had been recommended by experts. Chang et al (2007) introduced RST into PMS for maintenance and rehabilitation (M&R) strategy induction, whereas Kim et al (2009) presented an RST approach to determine the category of crack causes, for insufficient and imprecise crack characteristics observed in regular inspection of concrete structures. More applications of RST in a variety of fields can be found in the literature (Czerniak and Zarzycki, 2003; Pasek, 2006; Geng and Zhu, 2009).…”

Section: Literature Reviewmentioning

confidence: 99%

Exploring the Deterioration Factors of RC Bridge Decks: A Rough Set Approach

Huang

Mao

Lee

2010

Computer-Aided Civil and Infrastructure Engineering

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Information about the factors that lead to the deterioration of bridges is essential for bridge maintenance. Pinpointing what these factors are will certainly enhance the effectiveness of bridge management. However, a review of the literature reveals that such factors are mainly determined based on experts' opinions rather than a systematic approach. In this study the factors leading to deterioration of RC bridge decks are grouped into six common types. Twenty-nine candidate factors are selected from an extensive review of past work as well as from the inventory of the Taiwan Bridge Management System. A data mining technique, the Rough Set Theory (RST), is employed to find the factors that have the most significant impact on deterioration. It is found that weather-related factors are rather significant for almost all types of deterioration. Finally, the factors mined by RST are compared to those obtained by Mann-Whitney U (MWU). The results of comparison appear fairly consistent, which validates the proposed approach.

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Application of fuzzy cognitive maps for crack categorization in columns of reinforced concrete structures

Senniappan¹,

Subramanian²,

Papageorgiou

et al. 2016

Neural Comput & Applic

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Rough set algorithm for crack category determination of reinforced concrete structures

Cited by 10 publications

References 11 publications

A Review of the Research Progress of Structural Damage Identification Method Based on Computational Intelligence Techniques

A Review of the Research Progress of Structural Damage Identification Method Based on Computational Intelligence Techniques

Exploring the Deterioration Factors of RC Bridge Decks: A Rough Set Approach

Application of fuzzy cognitive maps for crack categorization in columns of reinforced concrete structures

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