sigma2stress() calculate normal and shear stress components, while
sigma2tendency() computes the tendency for slip and dilatency for a given set
of faults and a given stress tensor.
Value
2-column numeric array giving the relative normal and shear stress components
for each fault in fault.
See also
Other stress-tensor:
fault_instability_criterion(),
reduced_stress(),
sigma2rup(),
sigma2stress(),
stress_shape()
Examples
f <- angelier1990$TYM
s <- reduced_stress(f)
sigma2shearnorm(s, f)
#> normal shear
#> [1,] -0.319049467 1.0074373
#> [2,] -0.199966082 1.0595722
#> [3,] -0.683886779 0.5641852
#> [4,] -0.516062452 0.8527739
#> [5,] -0.368199436 0.9627699
#> [6,] -0.703458404 0.3081223
#> [7,] -0.712066093 0.5942078
#> [8,] -0.288765979 1.0276038
#> [9,] -0.194934248 1.0740371
#> [10,] -0.218113823 1.0672641
#> [11,] -0.611589412 0.7495115
#> [12,] 0.103272184 1.1484876
#> [13,] 0.002922413 1.1571691
#> [14,] -0.440070773 0.8983697
#> [15,] -0.311052993 1.0178778
#> [16,] -0.311065410 0.9719439
#> [17,] -0.224411787 1.0421138
#> [18,] -0.345461213 0.9740412
#> [19,] -0.702405649 0.6191082
#> [20,] -0.039455163 1.1427998
#> [21,] 0.189119716 1.1009707
#> [22,] 0.365529916 1.1962668
#> [23,] -0.652338281 0.4231349
#> [24,] 0.405893693 1.1501004
#> [25,] -0.132550302 1.0693392
#> [26,] -0.716263098 0.5471174
#> [27,] -0.368438977 0.9833086
#> [28,] -0.121031192 1.1152451
#> [29,] -0.567179606 0.8080235
#> [30,] -0.115269578 1.0803975
#> [31,] -0.490745306 0.8277931
#> [32,] -0.366994676 0.9677083
#> [33,] -0.419461649 0.8666342
#> [34,] 0.287785173 1.1988409
#> [35,] -0.504018233 0.8705438
#> [36,] -0.506658988 0.7120882
#> [37,] -0.413885186 0.8822828
#> [38,] -0.480009299 0.8488841
sigma2tendency(s, f)
#> slip_tendency dilatation_tendency
#> [1,] -3.1576209 0.7658835
#> [2,] -5.2987594 0.7162548
#> [3,] -0.8249688 0.9179317
#> [4,] -1.6524626 0.8479899
#> [5,] -2.6148054 0.7863671
#> [6,] -0.4380106 0.9260883
#> [7,] -0.8344841 0.9296756
#> [8,] -3.5586043 0.7532627
#> [9,] -5.5097402 0.7141577
#> [10,] -4.8931521 0.7238180
#> [11,] -1.2255142 0.8878014
#> [12,] 11.1209776 0.5898783
#> [13,] 395.9636215 0.6316997
#> [14,] -2.0414208 0.8163199
#> [15,] -3.2723613 0.7625509
#> [16,] -3.1245642 0.7625561
#> [17,] -4.6437570 0.7264427
#> [18,] -2.8195385 0.7768908
#> [19,] -0.8814111 0.9256496
#> [20,] -28.9645181 0.6493609
#> [21,] 5.8215543 0.5541008
#> [22,] 3.2726920 0.4805808
#> [23,] -0.6486434 0.9047837
#> [24,] 2.8335014 0.4637589
#> [25,] -8.0674216 0.6881588
#> [26,] -0.7638497 0.9314248
#> [27,] -2.6688506 0.7864669
#> [28,] -9.2145260 0.6833582
#> [29,] -1.4246342 0.8692933
#> [30,] -9.3727894 0.6809570
#> [31,] -1.6868081 0.8374388
#> [32,] -2.6368457 0.7858650
#> [33,] -2.0660629 0.8077309
#> [34,] 4.1657495 0.5129814
#> [35,] -1.7272070 0.8429704
#> [36,] -1.4054585 0.8440710
#> [37,] -2.1317091 0.8054069
#> [38,] -1.7684743 0.8329645