2011
DOI: 10.1111/j.1467-8667.2011.00730.x
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A Refined Methodology for Durability‐Based Service Life Estimation of Reinforced Concrete Structural Elements Considering Fuzzy and Random Uncertainties

Abstract: A reliable method for service life estimation of the structural element is a prerequisite for service life design. A new methodology for durability-based service life estimation of reinforced concrete flexural elements with respect to chloride-induced corrosion of reinforcement is proposed. The methodology takes into consideration the fuzzy and random uncertainties associated with the variables involved in service life estimation by using a hybrid method combining the vertex method of fuzzy set theory with Mo… Show more

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Cited by 37 publications
(15 citation statements)
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“…Fuzzy random reliability has been developed in the last two decades (Möller et al, 2000(Möller et al, , 2003Beer, 2004, 2008;Liu et al, 1997;Anoop et al, 2012). The main idea of fuzzy random reliability is based on the use of fuzzy random variables (Kwakernaak, 1978(Kwakernaak, , 1979Puri and Ralescu, 1986;Graf et al, 2012) as the basic variables for the reliability problem.…”
Section: Fuzzy Random Variablementioning
confidence: 99%
“…Fuzzy random reliability has been developed in the last two decades (Möller et al, 2000(Möller et al, , 2003Beer, 2004, 2008;Liu et al, 1997;Anoop et al, 2012). The main idea of fuzzy random reliability is based on the use of fuzzy random variables (Kwakernaak, 1978(Kwakernaak, , 1979Puri and Ralescu, 1986;Graf et al, 2012) as the basic variables for the reliability problem.…”
Section: Fuzzy Random Variablementioning
confidence: 99%
“…In this context, fuzzy set theory could be applied to represent these uncertain characteristics more realistically. Since its introduction over 40 years ago (Zadeh, ), fuzzy set theory has been utilized to solve numerous infrastructure engineering issues (Adeli and Hung, ; Sarma and Adeli, , , ; Adeli and Karim, ; Samant and Adeli, ; Karim and Adeli, ; Jiang and Adeli, , ; Adeli and Jiang, , ; Bianchini and Bandini, ; Tagherouit et al., ; Anoop et al., ; Bianchini, ; Graf et al., ; Hsiao et al., ; Saliminejad and Gharaibeh, ; Li et al., ; Dell'Orco and Mellano, ), including tunnel‐related issues. For example, Harrison and Hudson () develop an expression for the fuzzy factor of safety and extend this method to evaluate the potential for underground rock spalling at the boundary of a circular excavation in terms of strength and in situ rock stress.…”
Section: Introductionmentioning
confidence: 99%
“…Fuzzy logic offers a framework for representing uncertainty [4,7,39,64] and the subjectivity of the engineering world [1,2,12,33,35,56,68,84]. It has similarities with the way actors act as it uses a model of approximate reasoning that allows it to deal with design uncertainties.…”
Section: Introductionmentioning
confidence: 99%