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Data Publisher for Earth & Environmental Science

Ikari, Matt J; Roesner, Alexander: Velocity-dependent friction measurements, inverse modeling with 2 state variables using load point displacement (slip law) on a Nankai Trough sample [dataset]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.976760 (dataset in review), In: Ikari, MJ; Roesner, A: Rate-and-state friction parameters for 1 and 2 state variable friction laws on a Nankai Trough megasplay sample [dataset bundled publication]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.974199 (dataset in review)

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Keyword(s):
fault; friction; megasplay; Nankai Trough; rate-and-state frictoin
Source:
Roesner, Alexander; Ikari, Matt J; Hüpers, Andre; Kopf, Achim J (2022): Weakening behavior of the shallow megasplay fault in the Nankai subduction zone. Earth, Planets and Space, 74(1), 162, https://doi.org/10.1186/s40623-022-01728-w
Funding:
European Research Council (ERC), grant/award no. 714430: Plate-rate experimental deformation: Aseismic, transient or seismic fault slip
Coverage:
Latitude: 33.220317 * Longitude: 136.722145
Date/Time Start: 2007-12-22T00:00:00 * Date/Time End: 2007-12-22T00:00:00
Minimum Elevation: -2630.5 m * Maximum Elevation: -2630.5 m
Event(s):
316-C0004D * Latitude: 33.220317 * Longitude: 136.722145 * Date/Time: 2007-12-22T00:00:00 * Elevation: -2630.5 m * Recovery: 130.76 m * Campaign: Exp316 (NanTroSEIZE Stage 1: Shallow Megaslay and Frontal Thrusts) * Basis: Chikyu * Method/Device: Drilling/drill rig (DRILL) * Comment: 56 cores; 300 m cored; 43.59 % recovery; 400 m drilled; 400 m penetrated
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1Type of studyStudy typeIkari, Matt J
2ExperimentExpIkari, Matt JNumber
3Effective normal stressEff normal stressMPaIkari, Matt JLoad cell on direct shear deviceexperiment testing stress
4Sliding velocity, initialV initµm/sIkari, Matt JPotentiometric displacement sensor, Burster, 8712sample
5Sliding velocity, finalV finalµm/sIkari, Matt JPotentiometric displacement sensor, Burster, 8712sample
6Initial friction coefficientµ0Ikari, Matt JMatlab code RSFit3000, according to Skarbek and Savage (2019)
7Initial friction coefficient, standard deviationmu std dev±Ikari, Matt JMatlab code RSFit3000, according to Skarbek and Savage (2019)
8Friction direct effectaIkari, Matt JMatlab code RSFit3000, according to Skarbek and Savage (2019)
9Friction direct effect, standard deviationa std dev±Ikari, Matt JMatlab code RSFit3000, according to Skarbek and Savage (2019)
10Friction evolutionary effect, b1b1Ikari, Matt JMatlab code RSFit3000, according to Skarbek and Savage (2019)
11Friction evolutionary effect b1, standard deviationb1 std dev±Ikari, Matt JMatlab code RSFit3000, according to Skarbek and Savage (2019)
12Friction evolutionary effect, b2b2Ikari, Matt JMatlab code RSFit3000, according to Skarbek and Savage (2019)
13Friction evolutionary effect b2, standard deviationb2 std dev±Ikari, Matt JMatlab code RSFit3000, according to Skarbek and Savage (2019)
14Critical slip distance dc1dc1µmIkari, Matt JMatlab code RSFit3000, according to Skarbek and Savage (2019)
15Critical slip distance dc1, standard deviationdc1 std dev±Ikari, Matt JMatlab code RSFit3000, according to Skarbek and Savage (2019)
16Critical slip distance dc2dc2µmIkari, Matt JMatlab code RSFit3000, according to Skarbek and Savage (2019)
17Critical slip distance dc2, standard deviationdc2 std dev±Ikari, Matt JMatlab code RSFit3000, according to Skarbek and Savage (2019)
18StiffnessStiff1/µmIkari, Matt JMatlab code RSFit3000, according to Skarbek and Savage (2019)sample
19Stiffness, standard deviationStiff std dev±Ikari, Matt JMatlab code RSFit3000, according to Skarbek and Savage (2019)
20Sum of evolution coefficients (b1+b2)Sum bIkari, Matt JCalculated
21Velocity-dependent friction parametera-bIkari, Matt JCalculated
22Coefficient of determinationR**2Ikari, Matt JMatlab code RSFit3000, according to Skarbek and Savage (2019)
23Sample code/labelSample labelIkari, Matt J
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0) (License comes into effect after moratorium ends)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
230 data points

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