Application of Fuzzy Concepts to the Visual Assessment of                    Deteriorating Reinforced Concrete Structures

Jain, Kartik; Bhattacharjee, Bishwajit

doi:10.1061/(asce)co.1943-7862.0000430

Cited by 31 publications

(10 citation statements)

References 23 publications

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“…Bridge inspectors observe at site to record bridge components condition data and assess components condition with visual inspection. However, the accuracy of the recorded bridge condition data is not high because of the involvement of inspectors' experience and amounts of fuzzy bridge condition information [2]. Inaccurate recorded data may make it difficult to evaluate bridge condition cor- rectly.…”

Section: Introductionmentioning

confidence: 99%

LR-BCA: Label Ranking for Bridge Condition Assessment

2021

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Section: Introductionmentioning

confidence: 99%

LR-BCA: Label Ranking for Bridge Condition Assessment

2021

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“…The works by Ibadov [17][18][19][20] concerning the building investment process with a fuzzy phase allowed for the practical application of uncertain and subjective events when determining the degree of damage to the tested tenement houses. The assessment of the risk and costs of maintaining construction facilities, and also the conducting of the construction process in fuzzy conditions, were also presented by Kamal and Jain [21], Andrić, Wang, Zou and Zhang [22], J. Marzouk and Amin [23], Knight,Robinson,and Fayek [24], Sharma and Goyal [25], Al-Humaidi and Hadipriono [26], Ammar, Zayed and Moselhi [27], Chan, Kwong, Dillon and Fung [28], and Naszrzadeh, Afshar, Khanzadi, and Howick [29].…”

Section: Introduction 1literature Surveymentioning

confidence: 99%

Bayes Conditional Probability of Fuzzy Damage and Technical Wear of Residential Buildings

Konior

Stachoń

2021

Applied Sciences

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The purpose of the research presented in the article is to identify the impact of the processes associated with the broadly understood maintenance of old residential buildings with a traditional construction on the size and intensity of the wear of their elements. The goal was achieved by analyzing the symptoms of the technical wear process, which involved the understanding of the mechanism of the occurrence of the phenomenon of damage, and the identification of the size and intensity of the damage to the elements of the evaluated buildings. The consequence of systematizing the most important processes that influence the loss of functional properties of residential buildings was the creation of the authors’ own qualitative model and its transformation into a quantitative model. This, in turn, enabled a multi-criteria quantitative analysis of the cause and effect phenomena—“damage-technical wear”—of the most important elements of downtown tenement buildings to be carried out in fuzzy conditions, i.e., uncertainty concerning the occurrence of damage and the wear process. The following key question was answered in the subjective expert assessment of the technical condition of an evaluated residential building: what is the probability of the wear of an element, which may be more or less correlated with its average maintenance conditions, or more simply, what is the probability that the element is more or less (approximately) worn? It has been proven that the conditional probability of the technical wear of an element in relation to its damage increases with the deterioration of the maintenance conditions of the building, and this increase is very regular, even in the case of different building elements. This probability is characterized by a low standard deviation and a narrow range of the dispersion of results in the case of various elements with regards to each of the considered building maintenance conditions.

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“…FST-based evaluation system for existing bridges was proposed by Chen [10] where he emphasis on the use of fuzzy sets to represent bridge condition ratings instead of precise numerical numbers. Jain and Bhattacharjee [11] applied fuzzy concepts to visual assessment of deteriorating specific distress manifestation in reinforced concrete structures. Some of the drawbacks of the above mentioned approaches are: i) the provided condition assessment depends mainly on visual inspection which can be imprecise ii) weights of bridge elements are measured by simple techniques such as Analytical Hierarchy Process (AHP) without considering interdependency and iii) some of the studies consider specific deterioration mechanisms and certain type of defects.…”

Section: Previous and Related Work On Condition Assessmentmentioning

confidence: 99%

Common practices in assessing conditions of concrete bridges

2017

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Abstract. Bridge condition assessment is an essential step in bridge management. To ensure safety and serviceability of bridge infrastructure, accurate condition assessment is needed to provide basis for bridge Maintenance, Repair, and Replacement (MRR) decisions. In Canada and the United States, visual inspection is the common practice to evaluate a bridge condition. Meanwhile, this practice is limited to detect surface defects and external flaws. For subsurface defects, Non-Destructive Testing and Evaluation (NDT&E) technologies are being used to supplement visual inspection. This paper reviews the common practices in assessing concrete bridges' conditions and discusses the limitations of available condition assessment models. Further, this research studies six NDT&E techniques and establishes a set of selection criteria which is utilized to compare each technique in terms of providing the best inspection results. Based on the comparison, it is found that Ground Penetrating Radar (GPR) appears to be the most appropriate NDT&E techniques for inspection of concrete bridges. Thus, this paper recommends integrating GPR technology with the dominant visual inspection practice in order to establish a more accurate overall bridge condition rating system where surface and subsurface defects are assessed.

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Application of Fuzzy Concepts to the Visual Assessment of Deteriorating Reinforced Concrete Structures

Cited by 31 publications

References 23 publications

LR-BCA: Label Ranking for Bridge Condition Assessment

LR-BCA: Label Ranking for Bridge Condition Assessment

Bayes Conditional Probability of Fuzzy Damage and Technical Wear of Residential Buildings

Common practices in assessing conditions of concrete bridges

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