2010
DOI: 10.4028/www.scientific.net/amr.97-101.278
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Study on the Dynamic Behaviors of X70 Pipeline Steel by Numerical Simulation

Abstract: Using the commercial code ANSTS/LS-DYNA, this study has established a Split Hopkinson Pressure Bar (SHPB) finite element model (FEM) of X70 pipeline steel. Moreover, the stress-strain behavior of X70 pipeline steel has been investigated by a simplified Johnson-Cook model. The stress and strain relationship of X70 pipeline steel under different compact speeds is obtained under the high strain rate of 103S-1. The results obtained by numerical simulation agree well with those by experiments, and the parameters of… Show more

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Cited by 5 publications
(2 citation statements)
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“…Many researchers used the J-C model for a wide range of material deformation and application under various constraints for pipeline materials. For example, the J-C model has been used to simulate the Charpy test in X80 pipeline materials [33], to simulate the drop weight tear test (DWTT) for X65 and X80 pipeline materials [34,35] and pipeline steel (PS) at different temperature [36], to simulate the split Hopkinson bar for X70 pipeline material [37], and high strength steel pipeline [38].…”
Section: Introductionmentioning
confidence: 99%
“…Many researchers used the J-C model for a wide range of material deformation and application under various constraints for pipeline materials. For example, the J-C model has been used to simulate the Charpy test in X80 pipeline materials [33], to simulate the drop weight tear test (DWTT) for X65 and X80 pipeline materials [34,35] and pipeline steel (PS) at different temperature [36], to simulate the split Hopkinson bar for X70 pipeline material [37], and high strength steel pipeline [38].…”
Section: Introductionmentioning
confidence: 99%
“…Many researchers have developed material models capable to capture the strain rate sensitive behavior of metals with very satisfying results [21][22][23][24]. Simplified Johnson-Cook model is one of the material models that could give good prediction in the viscoplastic behaviour of metals with relatively easy physical understanding [25], [26]. The accuracy of this model depends on the accuracy of the inputted material parameter.…”
Section: Introductionmentioning
confidence: 99%