2011
DOI: 10.1080/15732470802416998
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Reliability assessment of FRP-confined concrete columns designed for buildings

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Cited by 21 publications
(9 citation statements)
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“…1 These percentile values are related to sample size for quality control purposes according to ASTM Standard D7290 [3]. Although Eckold [10] and Zureick et al [31] have reported that the COV of the FRP tensile modulus is in the range of 0.01-0.12, a later study [29] has suggested that this uncertainty has an insignificant effect on the reliability of FRP-strengthened RC members. Accordingly, the tensile modulus of FRP is assumed to be deterministic in the subsequent reliability analysis.…”
Section: Mechanical Properties Of Fiber-reinforced Polymer Compositesmentioning
confidence: 99%
“…1 These percentile values are related to sample size for quality control purposes according to ASTM Standard D7290 [3]. Although Eckold [10] and Zureick et al [31] have reported that the COV of the FRP tensile modulus is in the range of 0.01-0.12, a later study [29] has suggested that this uncertainty has an insignificant effect on the reliability of FRP-strengthened RC members. Accordingly, the tensile modulus of FRP is assumed to be deterministic in the subsequent reliability analysis.…”
Section: Mechanical Properties Of Fiber-reinforced Polymer Compositesmentioning
confidence: 99%
“…Experimental investigation on shear strength enhancement of RC beams externally reinforced with FRP composites (carbon/epoxy wet layup, E-glass/epoxy wet layup and carbon/epoxy precured strips) was carried out by Mosallam and Banerjee (2007). Zou and Hong (2008) proposed a reliability-based methodology for verifying the adequacy of concrete resistance factor for FRPconfined RC columns that is proposed in Canadian code. Rocca et al (2009) presented a procedure to develop simplified axial load-bending moment interaction diagram for FRP-wrapped RC columns of circular and non-circular cross-sections using equilibrium and strain compatibility.…”
Section: Introductionmentioning
confidence: 99%
“…Reliability analysis is an essential tool for ensuring robust design and evaluating safe condition of a structural element [19]. There are several probabilistic methods to evaluate the uncertainty using the reliability analysis theory, e.g., the analytical approaches using first-order/second-order reliability method (FORM/SORM) [20][21][22][23][24][25][26][27], Monte Carlo simulation (MCS) [28], weighted average simulation [29], and subset simulation [30]. Although the MCS method is commonly used to evaluate the reliability index owing to its accuracy and simplicity, this approach needs a large number of data points to obtain an accurate reliability index of a very small failure domain [31].…”
Section: Introductionmentioning
confidence: 99%