2016
DOI: 10.1016/j.engstruct.2016.04.013
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Strain rate behaviour in tension of S355 steel: Base for progressive collapse analysis

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Cited by 113 publications
(52 citation statements)
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“…The Johnson-Cook parameters evaluated by means of tests at room temperature are reported in Table [15], while the experimental data at different temperatures and for a fixed strain rate (450 s −1 ) were used to determine [16] the thermal softening sensitivity parameters (Table 2). In a previous study by the current authors [16], a thermal softening factor obtained experimentally at different temperatures was defined (R * ).…”
Section: Constitutive Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…The Johnson-Cook parameters evaluated by means of tests at room temperature are reported in Table [15], while the experimental data at different temperatures and for a fixed strain rate (450 s −1 ) were used to determine [16] the thermal softening sensitivity parameters (Table 2). In a previous study by the current authors [16], a thermal softening factor obtained experimentally at different temperatures was defined (R * ).…”
Section: Constitutive Modelmentioning
confidence: 99%
“…In order to find the Johnson-Cook parameters A, B and n [15], representing the strain hardening effects of the material in quasistatic conditions, c [15] representing the strain rate sensitivity and m [16] representing the thermal softening sensitivity, a mechanical characterisation in a wide range of temperatures and high strain rates is necessary.…”
Section: Progressive Collapse: Choice Of the Approachmentioning
confidence: 99%
“…The proposed constitutive model can provide better prediction accuracy for yield stress than the Johnson-Cook model.It has been proved experimentally that steel is significantly sensitive to the strain rate induced by dynamic loads [6][7][8]. Furthermore, it is possible for engineering structures to be exposed to extreme dynamic loads during their service life, such as vehicle or vessel collision, gas or bomb explosion [9], and progressive collapse [10][11][12]. Therefore, understanding the strain rate behavior and obtaining the rate-dependent constitutive model of reinforcing bar are of significance for the design and performance evaluation of RC structures under such extreme dynamic loads.…”
mentioning
confidence: 99%
“…The tensile and low cycle fatigue behavior of steel at various grades (S355, S400, S500s, and S690) were analyzed. [18][19][20][21] Under low cycle loading the ductility degenerated, the embrittlement reduced the elongation of steel bars. Steel with higher strength performed better fatigue resistance.…”
mentioning
confidence: 99%
“…[15,28] Existing researches analyze the tensile properties of steel at various grades (B500A, B450C, and S355); the fatigue behavior is obviously influenced by steel type. [20,29,30] The fatigue parameters (C f , C d , and α) for steel are employed in finite element simulation [27] ; there is disparity in the suggested values as well. Heo [31] investigated the structural response sensitivity to constitutive models of steel.…”
mentioning
confidence: 99%