2005
DOI: 10.1016/j.jcsr.2004.12.004
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A new residual stress distribution for hot-rolled I-shaped sections

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Cited by 34 publications
(29 citation statements)
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“…1 (e 0 = (b 1 − b 2 )/2). The residual stress parameter (α) is the ratio of the residual stress at the tip of the flange and the yield stress, assuming a suitable type distribution along the section (for hot-rolled profiles it is usually parabolic [17]). …”
Section: The Random Variablesmentioning
confidence: 99%
“…1 (e 0 = (b 1 − b 2 )/2). The residual stress parameter (α) is the ratio of the residual stress at the tip of the flange and the yield stress, assuming a suitable type distribution along the section (for hot-rolled profiles it is usually parabolic [17]). …”
Section: The Random Variablesmentioning
confidence: 99%
“…However, the authors did not propose a simplified residual stress pattern suitable for use in analytical and numerical study of its effect on beam strength. Other residual stress patterns contained in the literature include that of Trahair [20], who proposed residual stress distributions that are parabolic in the flanges and quartic in the web, and the work of Szalai and Papp [21], who proposed a quartic distribution that satisfies all equilibrium conditions including torsion and warping effects. These two polynomial residual stress distributions require lengthy computations to obtain their patterns.…”
Section: Bisymmetric Sectionsmentioning
confidence: 99%
“…To verify the FE model, a comparison was made between the experimental and FE simulation results of LTB tests conducted by Dux and Kitipornchai [21]. In their study, nine simply-supported beams were tested and they all failed by inelastic LTB under three different loading patterns, i.e., three different moment gradients.…”
Section: Validation Of the Fe Modelmentioning
confidence: 99%
“…One of the most known is called English Distribution Model and was developed by Young (1972, apud Szalai andPapp 2005), whose scheme of stress distribution is shown in Figure 10.…”
Section: The Numerical Modelmentioning
confidence: 99%