2015
DOI: 10.1088/0029-5515/55/6/063030
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The ITPA disruption database

Abstract: Abstract.A multi-device database of disruption characteristics has been developed under the auspices of the International Tokamak Physics Activity magneto-hydrodynamics topical group. The purpose of this ITPA Disruption Database (IDDB) is to find the commonalities between the disruption and disruption mitigation characteristics in a wide variety of tokamaks in order to elucidate the physics underlying tokamak disruptions and to extrapolate toward much larger devices, such as ITER and future burning plasma devi… Show more

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Cited by 64 publications
(49 citation statements)
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References 60 publications
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“…The data in Fig. 4, which are quantitatively consistent with the ITPA Disruption Database [14,17,43], identify C(η −1 ) = 1.2-4.2 ms/m 2 as the range to be used when projecting τ CQ to ITER. The machines that define the extrema in this range, C-Mod (4.2 ms/m 2 ) and DIII-D (1.2 ms/m 2 ), warrant further discussion.…”
Section: Disruption Current Quench Analysissupporting
confidence: 75%
“…The data in Fig. 4, which are quantitatively consistent with the ITPA Disruption Database [14,17,43], identify C(η −1 ) = 1.2-4.2 ms/m 2 as the range to be used when projecting τ CQ to ITER. The machines that define the extrema in this range, C-Mod (4.2 ms/m 2 ) and DIII-D (1.2 ms/m 2 ), warrant further discussion.…”
Section: Disruption Current Quench Analysissupporting
confidence: 75%
“…Despite the seemingly short warning timescale, 20 ms is a sufficient amount of time to deploy massive gas injection in DIII-D [56].…”
Section: Non-disruptivementioning
confidence: 99%
“…What is more, a multidevice International Tokamak Physics Activity (known as ITPA) disruption database (known as IDDB) including nine tokamak devices with various scales describing CQ time, halo current and massive impurity injection, has been developed by the ITPA since 1994 (Eidietis et al . 2015) in order to find commonalities of disruption characteristics over different tokamaks, and to provide parametric relationships between predisruption and disruption parameters and scaling extrapolating to International Thermonuclear Experimental Reactor (known as ITER) and other large tokamaks.…”
Section: Introductionmentioning
confidence: 99%