Time-dependent failure possibility analysis under consideration of fuzzy uncertainty

Fan, Chongqing; Lü, Zhenzhou; Yan, Shi

doi:10.1016/j.fss.2018.06.016

Cited by 43 publications

(9 citation statements)

References 19 publications

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“…Within the fuzzy interval, the specific value of the variable has is the corresponding membership function. In reinforced concrete structure, the presence of fuzzy uncertainty of input variables such as material properties, cross-sectional properties, loading uncertainties and model uncertainties (Fan et al, 2019) also propagates to the output performance of the structure by the function relationship between the input variables and output performance. In this paper, the optimum design of reinforced concrete structure based on the membership degree of input variables (concrete strength and reinforcement steel area) and the performance of the structure as output variable (flexure) was carried out by using fuzzy relation and fuzzy composition.…”

Section: Fuzzy Membership Function Of Corrosion Current Densitymentioning

confidence: 99%

“…To handle this problem, Zadeh(1965) introduced a fuzzy set theory, which holds a continuum of the degree of membership to model the vagueness. Many researchers proved that (Fan et al, 2019;Tang et al, 2014;Bagheri et al, 2017;Sarkar et al, 2016;Yeh and Hsu, 1990) the fuzzy theory is an important tool and effectively well-designed for the problems in structural engineering to perform the reliability analysis and optimal design solution. Fuzzy concepts resemble human reasoning through providing an easy way of handling with real problems because of their simplicity and flexibility, easy to handle problems with imprecise and incomplete data, ability to deal with uncertainty and nonlinearity, cover a wider range of operating conditions and more readily customizable in natural language terms or linguistic terms.…”

Section: Introductionmentioning

confidence: 99%

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Fuzzy uncertainty and its applications in reinforced concrete structures

Woju¹,

Balu

2020

JEDT

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Purpose The aim of this paper is mainly to handle the fuzzy uncertainties present in structures appropriately. In general, uncertainties of variables are classified as aleatory and epistemic. The different sources of uncertainties in reinforced concrete structures include the randomness, mathematical models, physical models, environmental factors and gross errors. The effects of imprecise data in reinforced concrete structures are studied here by using fuzzy concepts. The aim of this paper is mainly to handle the uncertainties of variables with unclear boundaries. Design/methodology/approach To achieve the intended objective, the reinforced concrete beam subjected to flexure and shear was designed as per Euro Code (EC2). Then, different design parameters such as corrosion parameters, material properties and empirical expressions of time-dependent material properties were identified through a thorough literature review. Findings The fuzziness of variables was identified, and their membership functions were generated by using the heuristic method and drawn by MATLAB R2018a software. In addition to the identification of fuzziness of variables, the study further extended to design optimization of reinforced concrete structure by using fuzzy relation and fuzzy composition. Originality/value In the design codes of the concrete structure, the concrete grades such as C16/20, C20/25, C25/30, C30/37 and so on are provided and being adopted for design in which the intermediate grades are not considered, but using fuzzy concepts the intermediate grades of concrete can be recognized by their respective degree of membership. In the design of reinforced concrete structure using fuzzy relation and composition methods, the optimum design is considered when the degree of membership tends to unity. In addition to design optimization, the level of structural performance evaluation can also be carried out by using fuzzy concepts.

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Section: Fuzzy Membership Function Of Corrosion Current Densitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fuzzy uncertainty and its applications in reinforced concrete structures

Woju¹,

Balu

2020

JEDT

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“…The aggressiveness of the environment is a very important factor to be considered when examining the concrete structure that shows signs of possible distress. Fan et al (2019) suggested that reinforcing steel corrosion is one of the most serious deterioration mechanisms in reinforced concrete structures and is also an important issue that needs to be considered when evaluating and rehabilitating reinforced concrete structures. Generally, a corrosion attack is initiated either due to the carbonation of the concrete or due to the diffusion of the chloride ions to the reinforcing steel bar surface or both.…”

Section: Literature Reviewmentioning

confidence: 99%

“…For instance, structural loading in the service life, deterioration of material properties and cross-section dimensions due to corrosion, and the shrinkage. These time-variant properties of the input variables induce variation in the output performance (Fan et al , 2019).…”

Section: Introductionmentioning

confidence: 99%

Time-dependent safety performance of reinforced concrete structures

Woju

Balu

2020

JEDT

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Purpose Performance of the structure depends on design, construction, environment, utilization and reliability aspects. Other factors can be controlled by adopting proper design and construction techniques, but the environmental factors are difficult to control. Hence, mostly in practice, the environmental factors are not considered in the analysis and design appropriately; however, their impact on the performance of the structures is significant along with the design life. It is in this light that this paper aims to perform the time-dependent performance analysis of reinforced concrete structures majorly considering environmental factors. Design/methodology/approach To achieve the intended objective, a simply supported reinforced concrete beam was designed and detailed as per the Euro Code (EC2). The time-dependent design parameters, corrosion parameters, creep and shrinkage were identified through thorough literature review. The common empirical equations were modified to consider the identified parameters, and finally, the time-dependent performance of reinforced concrete beam was performed. Findings Findings indicate that attention has to be paid to appropriate consideration of the environmental effect on reinforced concrete structures. In that, the time-dependent performance of reinforced concrete beam significantly decreases with time due to corrosion of reinforcement steel, creep and shrinkage. Originality/value However, the Euro code, Ethiopian code and Indian code threat the exposure condition of reinforced concrete by providing corresponding concrete cover that retards the corrosion initiation time but does not eliminate environmental effects. The results of this study clearly indicate that the capacity of reinforced concrete structure degrades with time due to corrosion and creep, whereas the action on the structure due to shrinkage increases. Therefore, appropriate remedial measures have to be taken to control the defects of structures due to the environmental factors to overcome the early failure of the structure.

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“…Fan et al firstly introduced the concept of time-dependent FP (TDFP) by considering the inherent fuzzy uncertainties varying with the time. 35 Compared with the time-independent FP, solving the TDFP is more computationally expensive because of the time-dependency of the failure events. Fan et al 35 used double-loop nested optimization method and single-loop optimization method to estimate the TDFP, but the local optimal issue of the used optimization techniques may influence the precision of results.…”

Section: Introductionmentioning

confidence: 99%

An efficient method for estimating time‐dependent failure possibility by combining adaptive Kriging with adaptive truncated fuzzy simulation

Wang

Lü

Feng

et al. 2021

Numerical Meth Engineering

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Time-dependent failure possibility (TDFP) can measure the structural safety level for a time interval of interest under fuzzy uncertainty, but its calculational cost is unaffordable by using fuzzy simulation (FS) due to a required large size of FS candidate sampling pool (CSP). Although time-dependent adaptive Kriging model (T-AK) combined with FS (T-AK-FS) was presented to reduce the number of calling performance function, a large FS CSP still makes training T-AK time-consuming. To improve its efficiency, an adaptive truncated FS (ATFS) with T-AK (T-AK-ATFS) is proposed by CSP size reduction approach. By T-AK-ATFS, the largest safety hypercube in fuzzy standard space is adaptively searched, in which the samples are in safety states and can be removed from the FS CSP. Moreover, T-AK is adaptively trained to search the largest safety hypercube and estimate TDFP simultaneously. In adaptively searching process, the FS CSP is divided into several sub-CSPs, on which training T-AK is more time-saving.

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Time-dependent failure possibility analysis under consideration of fuzzy uncertainty

Cited by 43 publications

References 19 publications

Fuzzy uncertainty and its applications in reinforced concrete structures

Fuzzy uncertainty and its applications in reinforced concrete structures

Time-dependent safety performance of reinforced concrete structures

An efficient method for estimating time‐dependent failure possibility by combining adaptive Kriging with adaptive truncated fuzzy simulation

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