Published July 4, 2020 | Version v3
Dataset Open

Experiments on granular flow behavior and deposit characteristics: implications for rock avalanche kinematics

  • 1. Department of Geological Engineering, Southwest Jiaotong University
  • 2. Department of Geological Engineering, Southwest Jiaotong University; Key Laboratory of High-Speed Railway Engineering, Ministry of Education; State-Province Joint Engineering Laboratory of Spatial Information Technology of High-Speed Rail Safety

Description

Seven excel files which includes the data supporting Figure 5, Figure 6, Figure 7, Figure 8, Figure 10, Figure 12 and Figure 14 is uploaded saparately.

Data Set S1. Data supporting the relationship between flow height and time in Figure 5.

Data Set S2. Data supporting normalized velocity profiles and normalized shear rate profiles in Figures 6(a)-6(d).

Data Set S3(a). Data supporting the relationships between mean grain size and global shear rate in Figure 7(a).

Data Set S3(b). Data supporting the relationships between mean grain size and Savage number in Figure 7(a).

Data Set S4(a). Data supporting the relationships between depth averaged velocity and time in Figure 8(a).

Data Set S4(b). Data supporting the relationships between depth averaged velocity and time in Figure 8(b).

Data Set S4(c). Data supporting the relationships between mean grain size and equivalent friction coefficient in Figure 8(c).

Data Set S5(a). Data supporting Figures 10(a) and 10(b).

Data Set S5(b). Data supporting the relationships between relative flow height and λ in Figure 10(c).

Data Set S5(c). Data supporting the relationships between relative flow height and λ in Figure 10(d).

Data Set S6(a). Data supporting the velocity profiles in Figure 12(a).

Data Set S6(b). Data supporting the relationships between global shear rate and equivalent friction coefficient in Figure 12(b).

Data Set S7. Data supporting the relationships between normalized flow height and Savage number in Figure 14.

Files

Files (330.8 kB)

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md5:a67eca6daca9bb28464b4dad3df808bc
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md5:8ec6b37bb6c88970ab6a8a64255d5e94
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md5:66bbcbea752a61912bb86bd5148c8bf9
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md5:e63204096fad10ea631c8698e2259911
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md5:c2d91b97e494fc09485ca2dec7e75609
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Additional details

References