2011
DOI: 10.1080/19648189.2011.9714859
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Development of guidelines for nonlinear finite element analyses of existing reinforced and pre-stressed beams

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Cited by 30 publications
(9 citation statements)
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“…A review of results from blind prediction competitions shows that predictions of beams in bending and shear can result in coefficients of variation (COV) of 5–30 % and 10–40 % respectively [3]. Such scatter can be attributed to the solution strategy selected and has been found to increase as the skills of the analyst decrease [4–7]. In order to use NLFEA in practical design, a general, robust and stable solution strategy should thus be selected.…”
Section: Introductionmentioning
confidence: 99%
“…A review of results from blind prediction competitions shows that predictions of beams in bending and shear can result in coefficients of variation (COV) of 5–30 % and 10–40 % respectively [3]. Such scatter can be attributed to the solution strategy selected and has been found to increase as the skills of the analyst decrease [4–7]. In order to use NLFEA in practical design, a general, robust and stable solution strategy should thus be selected.…”
Section: Introductionmentioning
confidence: 99%
“…The embedded truss elements are used for rebar, assuming perfect bonding with concrete. The Hordijk model and the parabolic model are used to present the tensile and compressive behavior of concrete, respectively, and the rotating smeared crack model is adopted to indicate the crack initiation (Belletti, Damoni, & Hendriks, 2011). In this paper, 20-node quadratic solid elements are used.…”
Section: Appendix a Nonlinear Finite Element Analyses Of Strut-and-tie Modelsmentioning
confidence: 99%
“…Allaix et al, 11 Engen et al, 12 and Cervenka et al 13 all tested specific solution strategies, against, respectively, 14, 38, and 33 benchmarks, and thus quantified the within‐model uncertainties for the respective NLFEA approaches. Belletti et al, 14 , 15 Castaldo et al, 16 , 17 and Gino et al 18 tested in their studies up to 18 approaches, thus resulting in multiple within‐model uncertainties per study.…”
Section: Introductionmentioning
confidence: 99%