Fuzzy set based crack diagnosis system for reinforced concrete structures

Kim, Yeong Min; Kim, Chee Kyeong; Hong, Geon Ho

doi:10.1016/j.compstruc.2007.04.001

Cited by 26 publications

(12 citation statements)

References 5 publications

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“…The features of concrete cracks gathered from visual inspection are generally uncertain and ambiguous, here fuzzy based data manipulation has shown good applicability [4,5]. But in the application of fuzzy set theory, there had arisen difficulty that if some data are unable to obtain, these data should be manipulated in advance before fuzzy related functions, such as fuzzy inference are performed [6].…”

Section: Introductionmentioning

confidence: 99%

Rough set algorithm for crack category determination of reinforced concrete structures

Kim¹,

Kim

Lee

2009

Advances in Engineering Software

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Section: Introductionmentioning

confidence: 99%

Rough set algorithm for crack category determination of reinforced concrete structures

Kim¹,

Kim

Lee

2009

Advances in Engineering Software

Self Cite

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“…In this paper they addressed the uncertainty associated with the fuzzy logic system for structural damage detection. Kim et al [48] presented a computer-based crack diagnosis system for concrete structures using Fuzzy set theory. They used the crack symptoms and characteristics to build the rooms for the proposed fuzzy inference system.…”

Section: Steel Platesmentioning

confidence: 99%

Review of Techniques for Fault Diagnosis in Damaged Structure and Engineering System

Thatoi

Das

Parhi

2012

Advances in Mechanical Engineering

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Focus has been made to give an overview of various methodologies used in fault diagnosis and condition monitoring. A crack in vibrating structures can lead to premature failure if it is not detected in time. Researchers have been working on the dynamics of cracked structures for decades to be able to monitor a structure and diagnose fault at the earliest possible stage. An effort has been made in the current paper to understand different techniques and methodologies for fault diagnosis and condition monitoring of damaged structures subjected to varied dynamic loading. The methods used are classical, wavelet transform, and finite element methods, artificial intelligence methods, and numerical and experimental methods. Using classical methods, engineers are able to predict faults. But using artificial intelligence techniques, it is observed that the forecasting time for fault diagnosis improves a lot in comparison to other methodologies.

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“…Also, he offered suitable repair and maintenance solution for distresses. A computer assisted crack diagnosis system for reinforced concrete structures which aids the non-expert to diagnose the cause of cracks at the level of an expert in the general inspection of structures was proposed by Kim et al (2007). The system presented adapts fuzzy set theory to reflect fuzzy conditions, both for crack symptoms and characteristics which are difficult to treat using crisp sets.…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy Classification System for Evaluating the Health Condition of Marine Concrete Structures

Champiri

Mousavizadegan

Moodi

2012

ACT

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This paper presents a new classification system called the Marine Structure Health index (MSHi). An evaluation model based on the fuzzy Delphi analytic hierarchy process (FDAHP) has been used for estimation of health in marine concrete structures. For this purpose, fifteen types of cracking in concrete, surface distresses, and miscellaneous distresses have initially been investigated and rated. In the MSHi system, a number from 0 to 100 is assigned to the health of a structure. Based on the MSHi classification, the health of a structure is classified into five modes from the view point of distress: very poor, poor, medium, good and very good.

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Fuzzy set based crack diagnosis system for reinforced concrete structures

Cited by 26 publications

References 5 publications

Rough set algorithm for crack category determination of reinforced concrete structures

Rough set algorithm for crack category determination of reinforced concrete structures

Review of Techniques for Fault Diagnosis in Damaged Structure and Engineering System

A Fuzzy Classification System for Evaluating the Health Condition of Marine Concrete Structures

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