1999
DOI: 10.1016/s0022-5096(97)00090-2
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The use of the Hopkinson bar to validate constitutive relations at high rates of strain

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Cited by 49 publications
(14 citation statements)
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“…Following the presentation of the temperature distribution in eq (8), it seems convenient to discuss the steady-state temperature distribution separately from the transient temperature response. It is shown below that the analysis of the steady-state temperature distribution leads to some general and important conclusions.…”
Section: (3) Thermal Analysismentioning
confidence: 99%
“…Following the presentation of the temperature distribution in eq (8), it seems convenient to discuss the steady-state temperature distribution separately from the transient temperature response. It is shown below that the analysis of the steady-state temperature distribution leads to some general and important conclusions.…”
Section: (3) Thermal Analysismentioning
confidence: 99%
“…In a lot of works the attention was focused on Zerilli-Armstrong model, but also more physically-based and micromechanical models were identified, usually by using data interpolation techniques. Differently from analytical approaches, the inverse procedure, as that it is proposed here, can be applied for the strength model calibration also in case of necking/instability up to fracture [17][18][19][20]: a Finite Element (FE) based approach allows to take into account the effect of the geometry changes during the necking phase. The stress versus strain curve after necking starts cannot be derived using nominal relation starting from engineering data: the stress state is no longer uniform and uniaxial as a consequence of the increased triaxiality which implies the logarithmic stress differs from the Von Mises stress.…”
Section: Introductionmentioning
confidence: 99%
“…In particular, dog-bone shaped specimens accumulate strain outside the gauge length, and calculations of true stress must account for necking in the specimen [3]. For this reason, authors have adopted high speed photography as a means to obtain more widely applicable data [4,5].…”
Section: Introductonmentioning
confidence: 99%