-
Notifications
You must be signed in to change notification settings - Fork 1
Expand file tree
/
Copy pathPhysicalModels.jl
More file actions
1821 lines (1406 loc) · 71.4 KB
/
PhysicalModels.jl
File metadata and controls
1821 lines (1406 loc) · 71.4 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
module PhysicalModels
using Gridap
using Gridap.Helpers
using DrWatson
using ForwardDiff
using LinearAlgebra
using ..TensorAlgebra
using ..TensorAlgebra: _∂H∂F_2D
using StaticArrays
import Base: +
export Yeoh3D
export NeoHookean3D
export IncompressibleNeoHookean3D
export IncompressibleNeoHookean2D
export IncompressibleNeoHookean2D_CV
export IncompressibleNeoHookean3D_2dP
export ARAP2D
export ARAP2D_regularized
export VolumetricEnergy
export MooneyRivlin3D
export MooneyRivlin2D
export NonlinearMooneyRivlin3D
export NonlinearMooneyRivlin2D
export NonlinearMooneyRivlin2D_CV
export NonlinearNeoHookean_CV
export NonlinearMooneyRivlin_CV
export NonlinearIncompressibleMooneyRivlin2D_CV
export EightChain
export TransverseIsotropy3D
export TransverseIsotropy2D
export LinearElasticity3D
export LinearElasticity2D
export IdealDielectric
export IdealMagnetic
export IdealMagnetic2D
export HardMagnetic
export HardMagnetic2D
export ThermalModel
export ElectroMechModel
export ThermoElectroMechModel
export ThermoMechModel
export ThermoMech_EntropicPolyconvex
export FlexoElectroModel
export ThermoElectroMech_Govindjee
export ThermoElectroMech_PINNs
export ThermoElectroMech_Bonet
export MagnetoMechModel
export GeneralizedMaxwell
export ViscousIncompressible
export PhysicalModel
export Mechano
export Elasto
export Visco
export ViscoElastic
export Electro
export Magneto
export Thermo
export ElectroMechano
export MagnetoMechano
export ThermoElectroMechano
export ThermoMechano
export ThermoElectro
export FlexoElectro
export EnergyInterpolationScheme
export KinematicDescription
export DerivativeStrategy
export initializeStateVariables
export updateStateVariables!
export update_state!
struct DerivativeStrategy{Kind} end
abstract type PhysicalModel end
abstract type Mechano <: PhysicalModel end
abstract type Electro <: PhysicalModel end
abstract type Magneto <: PhysicalModel end
abstract type Thermo <: PhysicalModel end
abstract type Elasto <: Mechano end
abstract type Visco <: Mechano end
abstract type ViscoElastic <: Mechano end
abstract type MultiPhysicalModel <: PhysicalModel end
abstract type ElectroMechano <: MultiPhysicalModel end
abstract type ThermoElectroMechano <: MultiPhysicalModel end
abstract type ThermoMechano <: MultiPhysicalModel end
abstract type ThermoElectro <: MultiPhysicalModel end
abstract type FlexoElectro <: MultiPhysicalModel end
abstract type MagnetoMechano <: MultiPhysicalModel end
include("KinematicModels.jl")
include("ViscousModels.jl")
include("PINNs.jl")
export Kinematics
export KinematicModel
export EvolutiveKinematics
export get_Kinematics
export getIsoInvariants
export HessianRegularization
export Hessian∇JRegularization
# ============================================
# State variables management
# ============================================
function initializeStateVariables(::PhysicalModel, points::Measure)
return nothing
end
function updateStateVariables!(::PhysicalModel, vars...)
end
# ============================================
# Regularization of Mechanical models
# ============================================
struct HessianRegularization{A,B} <: Mechano
Mechano::A
δ::Float64
Kinematic::B
function HessianRegularization(; Mechano::Mechano, δ::Float64=1.0e-6)
new{typeof(Mechano),typeof(Mechano.Kinematic)}(Mechano, δ, Mechano.Kinematic)
end
function (obj::HessianRegularization)(Λ::Float64=1.0)
Ψs, ∂Ψs, ∂2Ψs = obj.Mechano()
δ = obj.δ
∂2Ψ(F) = begin
vecval = eigen(get_array(∂2Ψs(F)))
vec = real(vecval.vectors)
val = real(vecval.values)
TensorValue(vec * diagm(max.(δ, val)) * vec')
end
return (Ψs, ∂Ψs, ∂2Ψ)
end
end
struct Hessian∇JRegularization{A,B} <: Mechano
Mechano::A
δ::Float64
κ::Float64
Kinematic::B
function Hessian∇JRegularization(; Mechano::Mechano, δ::Float64=1.0e-6, κ::Float64=1.0)
new{typeof(Mechano),typeof(Mechano.Kinematic)}(Mechano, δ, κ, Mechano.Kinematic)
end
function (obj::Hessian∇JRegularization)(Λ::Float64=1.0)
Ψs, ∂Ψs, ∂2Ψs = obj.Mechano()
_, H, J = get_Kinematics(obj.Mechano.Kinematic; Λ=Λ)
δ, κ = obj.δ, obj.κ
Ψ(F, Jh) = Ψs(F) + 0.5 * κ * (J(F) - Jh)^2
∂Ψ(F, Jh) = ∂Ψs(F) + κ * (J(F) - Jh) * H(F)
∂2Ψ_(F, Jh) = ∂2Ψs(F) + κ * (H(F) ⊗ H(F)) + κ * (J(F) - Jh) * _∂H∂F_2D()
∂2Ψ(F, Jh) = begin
vecval = eigen(get_array(∂2Ψ_(F, Jh)))
vec = real(vecval.vectors)
val = real(vecval.values)
TensorValue(vec * diagm(max.(δ, val)) * vec')
end
return (Ψ, ∂Ψ, ∂2Ψ)
end
end
# ======================
# Energy interpolations
# ======================
struct EnergyInterpolationScheme{A,B} <: PhysicalModel
p::Float64
model1::A
model2::B
function EnergyInterpolationScheme(model1, model2; p::Float64=3.0)
new{typeof(model1),typeof(model2)}(p, model1, model2)
end
function (obj::EnergyInterpolationScheme{<:Mechano,<:Mechano})()
Ψs, ∂Ψs, ∂2Ψs = obj.model1()
Ψv, ∂Ψv, ∂2Ψv = obj.model2()
p = obj.p
Ψ(ρ, F) = ρ^p * Ψs(F) + (1 - ρ^p) * Ψv(F)
DΨ_Dρ(ρ, F) = p * ρ^(p - 1) * Ψs(F) - (p * ρ^(p - 1)) * Ψv(F)
∂Ψ(ρ, F) = ρ^p * ∂Ψs(F) + (1 - ρ^p) * ∂Ψv(F)
D∂Ψ_Dρ(ρ, F) = p * ρ^(p - 1) * ∂Ψs(F) - (p * ρ^(p - 1)) * ∂Ψv(F)
∂2Ψ(ρ, F) = ρ^p * ∂2Ψs(F) + (1 - ρ^p) * ∂2Ψv(F)
D∂2Ψ_Dρ(ρ, F) = p * ρ^(p - 1) * ∂2Ψs(F) - (p * ρ^(p - 1)) * ∂2Ψv(F)
return (Ψ, ∂Ψ, ∂2Ψ, DΨ_Dρ, D∂Ψ_Dρ, D∂2Ψ_Dρ)
end
end
# ===================
# Magneto models
# ===================
struct IdealMagnetic{A} <: Magneto
μ::Float64
χe::Float64
Kinematic::A
function IdealMagnetic(; μ::Float64, χe::Float64=0.0, Kinematic::KinematicModel=Kinematics(Magneto))
new{typeof(Kinematic)}(μ, χe, Kinematic)
end
function (obj::IdealMagnetic)(Λ::Float64=1.0)
μ, χe = obj.μ, obj.χe
J(F) = det(F)
H(F) = J(F) * inv(F)'
# Energy #
Hℋ₀(F, ℋ₀) = H(F) * ℋ₀
Hℋ₀Hℋ₀(F, ℋ₀) = Hℋ₀(F, ℋ₀) ⋅ Hℋ₀(F, ℋ₀)
Ψmm(F, ℋ₀) = (-μ / (2.0 * J(F))) * Hℋ₀Hℋ₀(F, ℋ₀) * (1 + χe)
# First Derivatives #
∂Ψmm_∂H(F, ℋ₀) = (-μ / (J(F))) * (Hℋ₀(F, ℋ₀) ⊗ ℋ₀) * (1 + χe)
∂Ψmm_∂J(F, ℋ₀) = (+μ / (2.0 * J(F)^2.0)) * Hℋ₀Hℋ₀(F, ℋ₀) * (1 + χe)
∂Ψmm_∂ℋ₀(F, ℋ₀) = (-μ / (J(F))) * (H(F)' * Hℋ₀(F, ℋ₀)) * (1 + χe)
∂Ψmm_∂u(F, ℋ₀) = ∂Ψmm_∂H(F, ℋ₀) × F + ∂Ψmm_∂J(F, ℋ₀) * H(F)
∂Ψmm_∂φ(F, ℋ₀) = ∂Ψmm_∂ℋ₀(F, ℋ₀)
# Second Derivatives #
∂Ψmm_∂HH(F, ℋ₀) = (-μ / (J(F))) * (I3 ⊗₁₃²⁴ (ℋ₀ ⊗ ℋ₀)) * (1 + χe)
∂Ψmm_∂HJ(F, ℋ₀) = (+μ / (J(F))^2.0) * (Hℋ₀(F, ℋ₀) ⊗ ℋ₀) * (1 + χe)
∂Ψmm_∂JJ(F, ℋ₀) = (-μ / (J(F))^3.0) * Hℋ₀Hℋ₀(F, ℋ₀) * (1 + χe)
∂Ψmm_∂uu(F, ℋ₀) = (F × (∂Ψmm_∂HH(F, ℋ₀) × F)) +
H(F) ⊗₁₂³⁴ (∂Ψmm_∂HJ(F, ℋ₀) × F) +
(∂Ψmm_∂HJ(F, ℋ₀) × F) ⊗₁₂³⁴ H(F) +
∂Ψmm_∂JJ(F, ℋ₀) * (H(F) ⊗₁₂³⁴ H(F)) +
×ᵢ⁴(∂Ψmm_∂H(F, ℋ₀) + ∂Ψmm_∂J(F, ℋ₀) * F)
∂Ψmm_∂ℋ₀H(F, ℋ₀) = (-μ / (J(F))) * ((I3 ⊗₁₃² Hℋ₀(F, ℋ₀)) + (H(F)' ⊗₁₂³ ℋ₀)) * (1 + χe)
∂Ψmm_∂ℋ₀J(F, ℋ₀) = (+μ / (J(F))^2.0) * (H(F)' * Hℋ₀(F, ℋ₀)) * (1 + χe)
∂Ψmm_∂φu(F, ℋ₀) = (∂Ψmm_∂ℋ₀H(F, ℋ₀) × F) + (∂Ψmm_∂ℋ₀J(F, ℋ₀) ⊗₁²³ H(F))
∂Ψmm_∂φφ(F, ℋ₀) = (-μ / (J(F))) * (H(F)' * H(F)) * (1 + χe)
return (Ψmm, ∂Ψmm_∂u, ∂Ψmm_∂φ, ∂Ψmm_∂uu, ∂Ψmm_∂φu, ∂Ψmm_∂φφ)
end
end
struct IdealMagnetic2D{A} <: Magneto
μ::Float64
χe::Float64
Kinematic::A
function IdealMagnetic2D(; μ::Float64, χe::Float64=0.0, Kinematic::KinematicModel=Kinematics(Magneto))
new{typeof(Kinematic)}(μ, χe, Kinematic)
end
function (obj::IdealMagnetic2D)(Λ::Float64=1.0)
μ, χe = obj.μ, obj.χe
J(F) = det(F)
H(F) = J(F) * inv(F)'
# Energy #
Hℋ₀(F, ℋ₀) = H(F) * ℋ₀
Hℋ₀Hℋ₀(F, ℋ₀) = Hℋ₀(F, ℋ₀) ⋅ Hℋ₀(F, ℋ₀)
Ψmm(F, ℋ₀) = (-μ / (2.0 * J(F))) * Hℋ₀Hℋ₀(F, ℋ₀) * (1 + χe)
# First Derivatives #
∂Ψmm_∂H(F, ℋ₀) = (-μ / (J(F))) * (Hℋ₀(F, ℋ₀) ⊗ ℋ₀) * (1 + χe)
∂Ψmm_∂J(F, ℋ₀) = (+μ / (2.0 * J(F)^2.0)) * Hℋ₀Hℋ₀(F, ℋ₀) * (1 + χe)
∂Ψmm_∂ℋ₀(F, ℋ₀) = (-μ / (J(F))) * (H(F)' * Hℋ₀(F, ℋ₀)) * (1 + χe)
∂Ψmm_∂u(F, ℋ₀) = (tr(∂Ψmm_∂H(F, ℋ₀)) * I2) - ∂Ψmm_∂H(F, ℋ₀)' + ∂Ψmm_∂J(F, ℋ₀) * H(F)
∂Ψmm_∂φ(F, ℋ₀) = ∂Ψmm_∂ℋ₀(F, ℋ₀)
# Second Derivatives #
∂Ψmm_∂HH(F, ℋ₀) = (-μ / (J(F))) * (I2 ⊗₁₃²⁴ (ℋ₀ ⊗ ℋ₀)) * (1 + χe)
∂Ψmm_∂HJ(F, ℋ₀) = (+μ / (J(F))^2.0) * (Hℋ₀(F, ℋ₀) ⊗ ℋ₀) * (1 + χe)
∂Ψmm_∂JJ(F, ℋ₀) = (-μ / (J(F))^3.0) * Hℋ₀Hℋ₀(F, ℋ₀) * (1 + χe)
∂Ψmm_∂uu(F, ℋ₀) = _∂H∂F_2D()' * ∂Ψmm_∂HH(F, ℋ₀) * _∂H∂F_2D() + _∂H∂F_2D()' * (∂Ψmm_∂HJ(F, ℋ₀) ⊗ H(F)) +
(H(F) ⊗ ∂Ψmm_∂HJ(F, ℋ₀)) * _∂H∂F_2D() + ∂Ψmm_∂JJ(F, ℋ₀) * (H(F) ⊗ H(F)) + ∂Ψmm_∂J(F, ℋ₀) * _∂H∂F_2D()
∂Ψmm_∂ℋ₀H(F, ℋ₀) = (-μ / (J(F))) * ((I2 ⊗₁₃² Hℋ₀(F, ℋ₀)) + (H(F)' ⊗₁₂³ ℋ₀)) * (1 + χe)
∂Ψmm_∂ℋ₀J(F, ℋ₀) = (+μ / (J(F))^2.0) * (H(F)' * Hℋ₀(F, ℋ₀)) * (1 + χe)
∂Ψmm_∂φu(F, ℋ₀) = ∂Ψmm_∂ℋ₀H(F, ℋ₀) * _∂H∂F_2D() + (∂Ψmm_∂ℋ₀J(F, ℋ₀) ⊗₁²³ H(F))
∂Ψmm_∂φφ(F, ℋ₀) = (-μ / (J(F))) * (H(F)' * H(F)) * (1 + χe)
return (Ψmm, ∂Ψmm_∂u, ∂Ψmm_∂φ, ∂Ψmm_∂uu, ∂Ψmm_∂φu, ∂Ψmm_∂φφ)
end
end
struct HardMagnetic{A} <: Magneto
μ::Float64
αr::Float64
χe::Float64
χr::Float64
βmok::Float64
βcoup::Float64
Kinematic::A
function HardMagnetic(; μ::Float64, αr::Float64, χe::Float64=0.0, χr::Float64=8.0, βmok::Float64=1.0, βcoup::Float64=1.0, Kinematic::KinematicModel=Kinematics(Magneto))
new{typeof(Kinematic)}(μ, αr, χe, χr, βmok, βcoup, Kinematic)
end
function (obj::HardMagnetic)(Λ::Float64=1.0)
μ, χe = obj.μ, obj.χe
J(F) = det(F)
H(F) = J(F) * inv(F)'
# Energy #
Hℋ₀(F, ℋ₀) = H(F) * ℋ₀
Hℋ₀Hℋ₀(F, ℋ₀) = Hℋ₀(F, ℋ₀) ⋅ Hℋ₀(F, ℋ₀)
Ψmm(F, ℋ₀) = (-μ / (2.0 * J(F))) * Hℋ₀Hℋ₀(F, ℋ₀) * (1 + χe)
# First Derivatives #
∂Ψmm_∂H(F, ℋ₀) = (-μ / (J(F))) * (Hℋ₀(F, ℋ₀) ⊗ ℋ₀) * (1 + χe)
∂Ψmm_∂J(F, ℋ₀) = (+μ / (2.0 * J(F)^2.0)) * Hℋ₀Hℋ₀(F, ℋ₀) * (1 + χe)
∂Ψmm_∂ℋ₀(F, ℋ₀) = (-μ / (J(F))) * (H(F)' * Hℋ₀(F, ℋ₀)) * (1 + χe)
∂Ψmm_∂u(F, ℋ₀) = ∂Ψmm_∂H(F, ℋ₀) × F + ∂Ψmm_∂J(F, ℋ₀) * H(F)
∂Ψmm_∂φ(F, ℋ₀) = ∂Ψmm_∂ℋ₀(F, ℋ₀)
# Second Derivatives #
∂Ψmm_∂HH(F, ℋ₀) = (-μ / (J(F))) * (I3 ⊗₁₃²⁴ (ℋ₀ ⊗ ℋ₀)) * (1 + χe)
∂Ψmm_∂HJ(F, ℋ₀) = (+μ / (J(F))^2.0) * (Hℋ₀(F, ℋ₀) ⊗ ℋ₀) * (1 + χe)
∂Ψmm_∂JJ(F, ℋ₀) = (-μ / (J(F))^3.0) * Hℋ₀Hℋ₀(F, ℋ₀) * (1 + χe)
∂Ψmm_∂uu(F, ℋ₀) = (F × (∂Ψmm_∂HH(F, ℋ₀) × F)) +
H(F) ⊗₁₂³⁴ (∂Ψmm_∂HJ(F, ℋ₀) × F) +
(∂Ψmm_∂HJ(F, ℋ₀) × F) ⊗₁₂³⁴ H(F) +
∂Ψmm_∂JJ(F, ℋ₀) * (H(F) ⊗₁₂³⁴ H(F)) +
×ᵢ⁴(∂Ψmm_∂H(F, ℋ₀) + ∂Ψmm_∂J(F, ℋ₀) * F)
∂Ψmm_∂ℋ₀H(F, ℋ₀) = (-μ / (J(F))) * ((I3 ⊗₁₃² Hℋ₀(F, ℋ₀)) + (H(F)' ⊗₁₂³ ℋ₀)) * (1 + χe)
∂Ψmm_∂ℋ₀J(F, ℋ₀) = (+μ / (J(F))^2.0) * (H(F)' * Hℋ₀(F, ℋ₀)) * (1 + χe)
∂Ψmm_∂φu(F, ℋ₀) = (∂Ψmm_∂ℋ₀H(F, ℋ₀) × F) + (∂Ψmm_∂ℋ₀J(F, ℋ₀) ⊗₁²³ H(F))
∂Ψmm_∂φφ(F, ℋ₀) = (-μ / (J(F))) * (H(F)' * H(F)) * (1 + χe)
return (Ψmm, ∂Ψmm_∂u, ∂Ψmm_∂φ, ∂Ψmm_∂uu, ∂Ψmm_∂φu, ∂Ψmm_∂φφ)
end
end
struct HardMagnetic2D{A} <: Magneto
μ::Float64
αr::Float64
χe::Float64
χr::Float64
βmok::Float64
βcoup::Float64
Kinematic::A
function HardMagnetic2D(; μ::Float64, αr::Float64, χe::Float64=0.0, χr::Float64=8.0, βmok::Float64=1.0, βcoup::Float64=1.0, Kinematic::KinematicModel=Kinematics(Magneto))
new{typeof(Kinematic)}(μ, αr, χe, χr, βmok, βcoup, Kinematic)
end
function (obj::HardMagnetic2D)(Λ::Float64=1.0)
μ, χe = obj.μ, obj.χe
J(F) = det(F)
H(F) = J(F) * inv(F)'
# Energy #
Hℋ₀(F, ℋ₀) = H(F) * ℋ₀
Hℋ₀Hℋ₀(F, ℋ₀) = Hℋ₀(F, ℋ₀) ⋅ Hℋ₀(F, ℋ₀)
Ψmm(F, ℋ₀) = (-μ / (2.0 * J(F))) * Hℋ₀Hℋ₀(F, ℋ₀) * (1 + χe)
# First Derivatives #
∂Ψmm_∂H(F, ℋ₀) = (-μ / (J(F))) * (Hℋ₀(F, ℋ₀) ⊗ ℋ₀) * (1 + χe)
∂Ψmm_∂J(F, ℋ₀) = (+μ / (2.0 * J(F)^2.0)) * Hℋ₀Hℋ₀(F, ℋ₀) * (1 + χe)
∂Ψmm_∂ℋ₀(F, ℋ₀) = (-μ / (J(F))) * (H(F)' * Hℋ₀(F, ℋ₀)) * (1 + χe)
∂Ψmm_∂u(F, ℋ₀) = (tr(∂Ψmm_∂H(F, ℋ₀)) * I2) - ∂Ψmm_∂H(F, ℋ₀)' + ∂Ψmm_∂J(F, ℋ₀) * H(F)
∂Ψmm_∂φ(F, ℋ₀) = ∂Ψmm_∂ℋ₀(F, ℋ₀)
# Second Derivatives #
∂Ψmm_∂HH(F, ℋ₀) = (-μ / (J(F))) * (I2 ⊗₁₃²⁴ (ℋ₀ ⊗ ℋ₀)) * (1 + χe)
∂Ψmm_∂HJ(F, ℋ₀) = (+μ / (J(F))^2.0) * (Hℋ₀(F, ℋ₀) ⊗ ℋ₀) * (1 + χe)
∂Ψmm_∂JJ(F, ℋ₀) = (-μ / (J(F))^3.0) * Hℋ₀Hℋ₀(F, ℋ₀) * (1 + χe)
∂Ψmm_∂uu(F, ℋ₀) = _∂H∂F_2D()' * ∂Ψmm_∂HH(F, ℋ₀) * _∂H∂F_2D() + _∂H∂F_2D()' * (∂Ψmm_∂HJ(F, ℋ₀) ⊗ H(F)) +
(H(F) ⊗ ∂Ψmm_∂HJ(F, ℋ₀)) * _∂H∂F_2D() + ∂Ψmm_∂JJ(F, ℋ₀) * (H(F) ⊗ H(F)) + ∂Ψmm_∂J(F, ℋ₀) * _∂H∂F_2D()
∂Ψmm_∂ℋ₀H(F, ℋ₀) = (-μ / (J(F))) * ((I2 ⊗₁₃² Hℋ₀(F, ℋ₀)) + (H(F)' ⊗₁₂³ ℋ₀)) * (1 + χe)
∂Ψmm_∂ℋ₀J(F, ℋ₀) = (+μ / (J(F))^2.0) * (H(F)' * Hℋ₀(F, ℋ₀)) * (1 + χe)
∂Ψmm_∂φu(F, ℋ₀) = ∂Ψmm_∂ℋ₀H(F, ℋ₀) * _∂H∂F_2D() + (∂Ψmm_∂ℋ₀J(F, ℋ₀) ⊗₁²³ H(F))
∂Ψmm_∂φφ(F, ℋ₀) = (-μ / (J(F))) * (H(F)' * H(F)) * (1 + χe)
return (Ψmm, ∂Ψmm_∂u, ∂Ψmm_∂φ, ∂Ψmm_∂uu, ∂Ψmm_∂φu, ∂Ψmm_∂φφ)
end
end
# ===================
# Electro models
# ===================
struct IdealDielectric{A} <: Electro
ε::Float64
Kinematic::A
function IdealDielectric(; ε::Float64, Kinematic::KinematicModel=Kinematics(Electro))
new{typeof(Kinematic)}(ε, Kinematic)
end
end
# ===================
# Thermal models
# ===================
struct ThermalModel <: Thermo
Cv::Float64
θr::Float64
α::Float64
κ::Float64
γv::Float64
γd::Float64
function ThermalModel(; Cv::Float64, θr::Float64, α::Float64, κ::Float64=10.0, γv::Float64=1.0, γd::Float64=1.0)
new(Cv, θr, α, κ, γv, γd)
end
function (obj::ThermalModel)(Λ::Float64=1.0)
Ψ(δθ) = obj.Cv * (δθ - (δθ + obj.θr) * log((δθ + obj.θr) / obj.θr))
∂Ψθ(δθ) = -obj.Cv * log((δθ + obj.θr) / obj.θr)
∂Ψθθ(δθ) = -obj.Cv / (δθ + obj.θr)
return (Ψ, ∂Ψθ, ∂Ψθθ)
end
end
# ===================
# Mechanical models
# ===================
struct ComposedElasticModel <: Elasto
Model1::Elasto
Model2::Elasto
function ComposedElasticModel(model1::Elasto,model2::Elasto)
new(model1,model2)
end
function (obj::ComposedElasticModel)(Λ::Float64=1.0)
DΨ1 = obj.Model1(Λ)
DΨ2 = obj.Model2(Λ)
Ψ, ∂Ψ, ∂∂Ψ = map((ψ1,ψ2) -> (x) -> ψ1(x) + ψ2(x), DΨ1, DΨ2)
return (Ψ, ∂Ψ, ∂∂Ψ)
end
end
function (+)(Model1::Elasto, Model2::Elasto)
ComposedElasticModel(Model1,Model2)
end
struct Yeoh3D{A} <: Mechano
λ::Float64
C10::Float64
C20::Float64
C30::Float64
Kinematic::A
function Yeoh3D(; λ::Float64, C10::Float64, C20::Float64, C30::Float64, Kinematic::KinematicModel=Kinematics(Mechano))
new{typeof(Kinematic)}(λ, C10, C20, C30, Kinematic)
end
function (obj::Yeoh3D)(Λ::Float64=1.0; Threshold=0.01)
_, H, J = get_Kinematics(obj.Kinematic; Λ=Λ)
λ, C10, C20, C30 = obj.λ, obj.C10, obj.C20, obj.C30
# Free energy
I1(F) = tr((F)' * F)
ψ(F) = C10 * (I1(F) - 3) + C20 * (I1(F) - 3)^2 + C30 * (I1(F) - 3)^3 -2*C10*log(J(F)) + 0.5*λ*(J(F)-1)^2
# First Piola-Kirchhoff
∂ψ_∂I1(F) = C10 + 2*C20*(I1(F) - 3) + 3*C30*(I1(F) - 3)^2
∂log∂J(J) = J >= Threshold ? 1 / J : (2 / Threshold - J / (Threshold^2))
∂ψ_∂J(F) = -2*C10 * ∂log∂J(J(F)) + λ*(J(F) - 1)
∂ψu(F) = 2*∂ψ_∂I1(F)*F + ∂ψ_∂J(F)*H(F)
# Elasticity
∂2ψ_∂I1I1(F) = 2*C20 + 6*C30*(I1(F)-3)
∂log2∂J2(J) = J >= Threshold ? -1 / (J^2) : (-1 / (Threshold^2))
∂2ψ_∂JJ(F) = -2*C10*∂log2∂J2(J(F)) + λ
∂ψuu(F) = 4*∂2ψ_∂I1I1(F)*(F ⊗ F) + 2*∂ψ_∂I1(F)*I9 + ∂2ψ_∂JJ(F)*(H(F) ⊗ H(F)) + ∂ψ_∂J(F)*(I9 × F)
return (ψ, ∂ψu, ∂ψuu)
end
end
struct LinearElasticity2D{A} <: Mechano
λ::Float64
μ::Float64
ρ::Float64
Kinematic::A
function LinearElasticity2D(; λ::Float64, μ::Float64, ρ::Float64=0.0, Kinematic::KinematicModel=Kinematics(Mechano))
new{typeof(Kinematic)}(λ, μ, ρ, Kinematic)
end
function (obj::LinearElasticity2D)(Λ::Float64=1.0)
λ, μ = obj.λ, obj.μ
ε(F) = 0.5(F + F') -I2
∂Ψuu(F) = μ * (δᵢₖδⱼₗ2D + δᵢₗδⱼₖ2D) + λ * δᵢⱼδₖₗ2D
∂Ψu(F) = ∂Ψuu(F) ⊙ (F - I2)
Ψ(F) = μ * sum(ε(F).*ε(F)) + 0.5 * λ * tr(ε(F))^2
return (Ψ, ∂Ψu, ∂Ψuu)
end
end
mutable struct LinearElasticity3D{A} <: Mechano
λ::Float64
μ::Float64
ρ::Float64
Kinematic::A
function LinearElasticity3D(; λ::Float64, μ::Float64, ρ::Float64=0.0, Kinematic::KinematicModel=Kinematics(Mechano))
new{typeof(Kinematic)}(λ, μ, ρ, Kinematic)
end
function (obj::LinearElasticity3D)(Λ::Float64=1.0)
λ, μ = obj.λ, obj.μ
ε(F) = 0.5(F + F') -I3
∂Ψuu(F) = μ * (δᵢₖδⱼₗ3D + δᵢₗδⱼₖ3D) + λ * δᵢⱼδₖₗ3D
∂Ψu(F) = ∂Ψuu(F) ⊙ (F - I3)
Ψ(F) = μ * sum(ε(F).*ε(F)) + 0.5 * λ * tr(ε(F))^2
return (Ψ, ∂Ψu, ∂Ψuu)
end
end
struct VolumetricEnergy{A} <: Elasto
λ::Float64
Kinematic::A
function VolumetricEnergy(; λ::Float64, Kinematic::KinematicModel=Kinematics(Elasto))
new{typeof(Kinematic)}(λ, Kinematic)
end
function (obj::VolumetricEnergy)(Λ::Float64=1.0)
_, H, J = get_Kinematics(obj.Kinematic; Λ=Λ)
λ = obj.λ
Ψ(F) = (λ / 2.0) * (J(F) - 1)^2
∂Ψ_∂J(F) = λ * (J(F) - 1)
∂Ψ2_∂J2(F) = λ
∂Ψu(F) = ∂Ψ_∂J(F) * H(F)
∂Ψuu(F) =∂Ψ2_∂J2(F) * (H(F) ⊗ H(F)) + ×ᵢ⁴(∂Ψ_∂J(F) * F)
return (Ψ, ∂Ψu, ∂Ψuu)
end
end
struct NeoHookean3D{A} <: Elasto
λ::Float64
μ::Float64
ρ::Float64
Kinematic::A
function NeoHookean3D(; λ::Float64, μ::Float64, ρ::Float64=0.0, Kinematic::KinematicModel=Kinematics(Mechano))
new{typeof(Kinematic)}(λ, μ, ρ, Kinematic)
end
function (obj::NeoHookean3D)(Λ::Float64=1.0; Threshold=0.01)
_, H, J = get_Kinematics(obj.Kinematic; Λ=Λ)
λ, μ = obj.λ, obj.μ
Ψ(F) = μ / 2 * tr((F)' * F) - μ * logreg(J(F)) + (λ / 2) * (J(F) - 1)^2 - 3.0 * (μ / 2.0)
∂log∂J(J) = J >= Threshold ? 1 / J : (2 / Threshold - J / (Threshold^2))
∂log2∂J2(J) = J >= Threshold ? -1 / (J^2) : (-1 / (Threshold^2))
∂Ψ_∂J(F) = -μ * ∂log∂J(J(F)) + λ * (J(F) - 1)
∂Ψu(F) = μ * F + ∂Ψ_∂J(F) * H(F)
∂Ψ2_∂J2(F) = -μ * ∂log2∂J2(J(F)) + λ
∂Ψuu(F) = μ * I9 + ∂Ψ2_∂J2(F) * (H(F) ⊗ H(F)) + ∂Ψ_∂J(F) * ×ᵢ⁴(F)
return (Ψ, ∂Ψu, ∂Ψuu)
end
end
struct MooneyRivlin3D{A} <: Mechano
λ::Float64
μ1::Float64
μ2::Float64
ρ::Float64
Kinematic::A
function MooneyRivlin3D(; λ::Float64, μ1::Float64, μ2::Float64, ρ::Float64=0.0, Kinematic::KinematicModel=Kinematics(Mechano))
new{typeof(Kinematic)}(λ, μ1, μ2, ρ, Kinematic)
end
function (obj::MooneyRivlin3D)(Λ::Float64=1.0; Threshold=0.01)
_, H, J = get_Kinematics(obj.Kinematic; Λ=Λ)
λ, μ1, μ2 = obj.λ, obj.μ1, obj.μ2
Ψ(F) = μ1 / 2 * tr((F)' * F) + μ2 / 2.0 * tr((H(F))' * H(F)) - (μ1 + 2 * μ2) * logreg(J(F)) +
(λ / 2.0) * (J(F) - 1)^2 - (3.0 / 2.0) * (μ1 + μ2)
∂Ψ_∂F(F) = μ1 * F
∂Ψ_∂H(F) = μ2 * H(F)
∂log∂J(J) = J >= Threshold ? 1 / J : (2 / Threshold - J / (Threshold^2))
∂log2∂J2(J) = J >= Threshold ? -1 / (J^2) : (-1 / (Threshold^2))
∂Ψ_∂J(F) = -(μ1 + 2.0 * μ2) * ∂log∂J(J(F)) + λ * (J(F) - 1)
∂Ψ2_∂J2(F) = -(μ1 + 2.0 * μ2) * ∂log2∂J2(J(F)) + λ
# ∂Ψ_∂J(F) = -(μ1 + 2.0 * μ2) / J(F) + λ * (J(F) - 1)
# ∂Ψ2_∂J2(F) = (μ1 + 2.0 * μ2) / (J(F)^2) + λ
∂Ψu(F) = ∂Ψ_∂F(F) + ∂Ψ_∂H(F) × F + ∂Ψ_∂J(F) * H(F)
# ∂Ψuu(∇u) = μ1 * I_ + μ2 * (F × (I_ × F)) + ∂Ψ2_∂J2(∇u) * (H(F) ⊗ H(F)) + (I_ × (∂Ψ_∂H(∇u) + ∂Ψ_∂J(∇u) * F))
∂Ψuu(F) = μ1 * I9 + μ2 * (F × (I9 × F)) + ∂Ψ2_∂J2(F) * (H(F) ⊗ H(F)) + ×ᵢ⁴(∂Ψ_∂H(F) + ∂Ψ_∂J(F) * F)
return (Ψ, ∂Ψu, ∂Ψuu)
end
end
struct MooneyRivlin2D{A} <: Mechano
λ::Float64
μ1::Float64
μ2::Float64
ρ::Float64
Kinematic::A
function MooneyRivlin2D(; λ::Float64, μ1::Float64, μ2::Float64, ρ::Float64=0.0, Kinematic::KinematicModel=Kinematics(Mechano))
new{typeof(Kinematic)}(λ, μ1, μ2, ρ, Kinematic)
end
function (obj::MooneyRivlin2D)(Λ::Float64=1.0; Threshold=0.01)
_, H, J = get_Kinematics(obj.Kinematic; Λ=Λ)
λ, μ1, μ2 = obj.λ, obj.μ1, obj.μ2
Ψ(F) = (μ1 / 2 + μ2 / 2) * tr((F)' * F) + μ2 / 2.0 * J(F)^2 - (μ1 + 2 * μ2) * logreg(J(F)) +
(λ / 2.0) * (J(F) - 1)^2
∂Ψ_(F) = ForwardDiff.gradient(F -> Ψ(F), get_array(F))
∂2Ψ_(F) = ForwardDiff.jacobian(F -> ∂Ψ_(F), get_array(F))
∂Ψu(F) = TensorValue(∂Ψ_(F))
∂Ψuu(F) = TensorValue(∂2Ψ_(F))
return (Ψ, ∂Ψu, ∂Ψuu)
end
end
struct NonlinearMooneyRivlin3D{A} <: Mechano
λ::Float64
μ1::Float64
μ2::Float64
α::Float64
β::Float64
ρ::Float64
Kinematic::A
function NonlinearMooneyRivlin3D(; λ::Float64, μ1::Float64, μ2::Float64, α::Float64, β::Float64, ρ::Float64=0.0, Kinematic::KinematicModel=Kinematics(Mechano))
new{typeof(Kinematic)}(λ, μ1, μ2, α, β, ρ, Kinematic)
end
function (obj::NonlinearMooneyRivlin3D)(Λ::Float64=1.0; Threshold=0.01)
_, H, J = get_Kinematics(obj.Kinematic; Λ=Λ)
λ, μ1, μ2, α, β = obj.λ, obj.μ1, obj.μ2, obj.α, obj.β
Ψ(F) = μ1 / (2.0 * α * 3.0^(α - 1)) * (tr((F)' * F))^α + μ2 / (2.0 * β * 3.0^(β - 1)) * (tr((H(F))' * H(F)))^β - (μ1 + 2 * μ2) * logreg(J(F)) +
(λ / 2.0) * (J(F) - 1)^2
∂Ψ_∂F(F) = (μ1 / (3.0^(α - 1)) * (tr((F)' * F))^(α - 1)) * F
∂Ψ_∂H(F) = (μ2 / (3.0^(β - 1)) * (tr((H(F))' * H(F)))^(β - 1)) * H(F)
∂log∂J(J) = J >= Threshold ? 1 / J : (2 / Threshold - J / (Threshold^2))
∂log2∂J2(J) = J >= Threshold ? -1 / (J^2) : (-1 / (Threshold^2))
∂Ψ_∂J(F) = -(μ1 + 2.0 * μ2) * ∂log∂J(J(F)) + λ * (J(F) - 1)
∂Ψ2_∂J2(F) = -(μ1 + 2.0 * μ2) * ∂log2∂J2(J(F)) + λ
∂Ψu(F) = ∂Ψ_∂F(F) + ∂Ψ_∂H(F) × F + ∂Ψ_∂J(F) * H(F)
∂ΨFF(F) = (2 * μ1 * (α - 1) / (3.0^(α - 1)) * (tr((F)' * F))^(α - 2)) * (F ⊗ F) + (μ1 / (3.0^(α - 1)) * (tr((F)' * F))^(α - 1)) * I9
∂ΨHH(F) = (2 * μ2 * (β - 1) / (3.0^(β - 1)) * (tr((H(F))' * H(F)))^(β - 2)) * (H(F) ⊗ H(F)) + (μ2 / (3.0^(β - 1)) * (tr((H(F))' * H(F)))^(β - 1)) * I9
∂Ψuu(F) = ∂ΨFF(F) + (F × (∂ΨHH(F) × F)) + ∂Ψ2_∂J2(F) * (H(F) ⊗ H(F)) + ×ᵢ⁴(∂Ψ_∂H(F) + ∂Ψ_∂J(F) * F)
return (Ψ, ∂Ψu, ∂Ψuu)
end
end
struct NonlinearMooneyRivlin2D{A} <: Mechano
λ::Float64
μ1::Float64
μ2::Float64
α::Float64
β::Float64
ρ::Float64
Kinematic::A
function NonlinearMooneyRivlin2D(; λ::Float64, μ1::Float64, μ2::Float64, α::Float64, β::Float64, ρ::Float64=0.0, Kinematic::KinematicModel=Kinematics(Mechano))
new{typeof(Kinematic)}(λ, μ1, μ2, α, β, ρ, Kinematic)
end
function (obj::NonlinearMooneyRivlin2D)(Λ::Float64=1.0; Threshold=0.01)
_, H, J = get_Kinematics(obj.Kinematic; Λ=Λ)
λ, μ1, μ2, α, β = obj.λ, obj.μ1, obj.μ2, obj.α, obj.β
Ψ(F) = μ1 / (2.0 * α * 3.0^(α - 1)) * (tr((F)' * F) + 1.0)^α + μ2 / (2.0 * β * 3.0^(β - 1)) * (tr((F)' * F) + J(F)^2)^β - (μ1 + 2.0 * μ2) * logreg(J(F)) +
(λ / 2.0) * (J(F) - 1)^2
∂Ψ_∂F(F) = ((μ1 / (3.0^(α - 1)) * (tr((F)' * F) + 1.0)^(α - 1)) + μ2 / (3.0^(β - 1)) * (tr((F)' * F) + J(F)^2)^(β - 1)) * F
∂log∂J(J) = J >= Threshold ? 1 / J : (2 / Threshold - J / (Threshold^2))
∂log2∂J2(J) = J >= Threshold ? -1 / (J^2) : (-1 / (Threshold^2))
∂Ψ_∂J(F) = μ2 / (3.0^(β - 1)) * J(F) * (tr((F)' * F) + J(F)^2)^(β - 1) - (μ1 + 2.0 * μ2) * ∂log∂J(J(F)) + λ * (J(F) - 1)
∂Ψu(F) = ∂Ψ_∂F(F) + ∂Ψ_∂J(F) * H(F)
∂Ψ2_∂FF(F) = ((μ1 / (3.0^(α - 1)) * (tr((F)' * F) + 1.0)^(α - 1)) + μ2 / (3.0^(β - 1)) * (tr((F)' * F) + J(F)^2)^(β - 1)) * I4 +
2 * ((μ1 * (α - 1) / (3.0^(α - 1)) * (tr((F)' * F) + 1.0)^(α - 2)) + μ2 * (β - 1) / (3.0^(β - 1)) * (tr((F)' * F) + J(F)^2)^(β - 2)) * (F ⊗ F)
∂Ψ2_∂FJ(F) = (2 * μ2 * (β - 1) / (3.0^(β - 1)) * (tr((F)' * F) + J(F)^2)^(β - 2)) * J(F) * F
∂Ψ2_∂JJ(F) = μ2 / (3.0^(β - 1)) * (tr((F)' * F) + J(F)^2)^(β - 1) + (2 * μ2 * (β - 1) / (3.0^(β - 1)) * (tr((F)' * F) + J(F)^2)^(β - 2)) * J(F)^2 - (μ1 + 2.0 * μ2) * ∂log2∂J2(J(F)) + λ
∂Ψuu(F) = ∂Ψ2_∂FF(F) + (∂Ψ2_∂FJ(F) ⊗ H(F) + H(F) ⊗ ∂Ψ2_∂FJ(F)) + ∂Ψ2_∂JJ(F) * (H(F) ⊗ H(F)) + ∂Ψ_∂J(F) * _∂H∂F_2D()
return (Ψ, ∂Ψu, ∂Ψuu)
end
end
struct NonlinearMooneyRivlin2D_CV{A} <: Mechano
λ::Float64
μ1::Float64
μ2::Float64
α::Float64
β::Float64
γ::Float64
ρ::Float64
Kinematic::A
function NonlinearMooneyRivlin2D_CV(; λ::Float64, μ1::Float64, μ2::Float64, α::Float64, β::Float64, γ::Float64, ρ::Float64=0.0, Kinematic::KinematicModel=Kinematics(Mechano))
new{typeof(Kinematic)}(λ, μ1, μ2, α, β, γ, ρ, Kinematic)
end
function (obj::NonlinearMooneyRivlin2D_CV)(Λ::Float64=1.0)
_, H, J = get_Kinematics(obj.Kinematic; Λ=Λ)
λ, μ1, μ2, α, β, γ = obj.λ, obj.μ1, obj.μ2, obj.α, obj.β, obj.γ
Ψ(F) = μ1 / (2.0 * α * 3.0^(α - 1)) * (tr((F)' * F) + 1.0)^α + μ2 / (2.0 * β * 3.0^(β - 1)) * (tr((F)' * F) + J(F)^2)^β - (μ1 + 2.0 * μ2) * log(J(F)) +
(λ) * (J(F)^(γ) + J(F)^(-γ))
∂Ψ_∂F(F) = ((μ1 / (3.0^(α - 1)) * (tr((F)' * F) + 1.0)^(α - 1)) + μ2 / (3.0^(β - 1)) * (tr((F)' * F) + J(F)^2)^(β - 1)) * F
∂Ψ_∂J(F) = μ2 / (3.0^(β - 1)) * J(F) * (tr((F)' * F) + J(F)^2)^(β - 1) - (μ1 + 2.0 * μ2) * (1.0 / J(F)) + λ * γ * (J(F)^(γ - 1) - J(F)^(-γ - 1))
∂Ψu(F) = ∂Ψ_∂F(F) + ∂Ψ_∂J(F) * H(F)
∂Ψ2_∂FF(F) = ((μ1 / (3.0^(α - 1)) * (tr((F)' * F) + 1.0)^(α - 1)) + μ2 / (3.0^(β - 1)) * (tr((F)' * F) + J(F)^2)^(β - 1)) * I4 +
2 * ((μ1 * (α - 1) / (3.0^(α - 1)) * (tr((F)' * F) + 1.0)^(α - 2)) + μ2 * (β - 1) / (3.0^(β - 1)) * (tr((F)' * F) + J(F)^2)^(β - 2)) * (F ⊗ F)
∂Ψ2_∂FJ(F) = (2 * μ2 * (β - 1) / (3.0^(β - 1)) * (tr((F)' * F) + J(F)^2)^(β - 2)) * J(F) * F
∂Ψ2_∂JJ(F) = μ2 / (3.0^(β - 1)) * (tr((F)' * F) + J(F)^2)^(β - 1) + (2 * μ2 * (β - 1) / (3.0^(β - 1)) * (tr((F)' * F) + J(F)^2)^(β - 2)) * J(F)^2 + (μ1 + 2.0 * μ2) * (1.0 / (J(F))^2) + λ * γ * ((γ - 1) * J(F)^(γ - 2) + (γ + 1) * J(F)^(-γ - 2))
∂Ψuu(F) = ∂Ψ2_∂FF(F) + (∂Ψ2_∂FJ(F) ⊗ H(F) + H(F) ⊗ ∂Ψ2_∂FJ(F)) + ∂Ψ2_∂JJ(F) * (H(F) ⊗ H(F)) + ∂Ψ_∂J(F) * _∂H∂F_2D()
return (Ψ, ∂Ψu, ∂Ψuu)
end
end
function trAA(A::TensorValue{3, 3, T, N}) where {T, N}
return sum(A.data[i]*A.data[i] for i in 1:N)
end
struct NonlinearMooneyRivlin_CV{A} <: Mechano
λ::Float64
μ1::Float64
μ2::Float64
α::Float64
β::Float64
γ::Float64
ρ::Float64
Kinematic::A
function NonlinearMooneyRivlin_CV(; λ::Float64, μ1::Float64, μ2::Float64, α::Float64, β::Float64, γ::Float64, ρ::Float64=0.0, Kinematic::KinematicModel=Kinematics(Mechano))
new{typeof(Kinematic)}(λ, μ1, μ2, α, β, γ, ρ, Kinematic)
end
function (obj::NonlinearMooneyRivlin_CV)(Λ::Float64=1.0)
_, H, J = get_Kinematics(obj.Kinematic; Λ=Λ)
λ, μ1, μ2, α, β, γ = obj.λ, obj.μ1, obj.μ2, obj.α, obj.β, obj.γ
Ψ(F) = μ1 / (2.0 * α * 3.0^(α - 1)) * (tr((F)' * F))^α +
μ2 / (2.0 * β * 3.0^(β - 1)) * (tr((H(F))' * H(F)))^β -
(μ1 + 2*μ2) * log(J(F)) + λ * (J(F)^(γ) + J(F)^(-γ))
∂Ψ_∂F(F) = ((μ1 / (3.0^(α - 1)) * (trAA(F))^(α - 1))) * F
∂Ψ_∂H(F) = ((μ2 / (3.0^(β - 1)) * (tr((H(F))' * H(F)))^(β - 1))) * H(F)
∂Ψ_∂J(F) = -(μ1 + 2*μ2) * (1.0 / J(F)) + λ * γ * (J(F)^(γ - 1) - J(F)^(-γ - 1))
∂Ψu(F) = ∂Ψ_∂F(F) + ∂Ψ_∂H(F) × F + ∂Ψ_∂J(F) * H(F)
∂Ψ2_∂FF(F) = ((μ1 / (3.0^(α - 1)) * (tr((F)' * F))^(α - 1))) * I9 +
2 * ((μ1 * (α - 1) / (3.0^(α - 1)) * (tr((F)' * F))^(α - 2))) * (F ⊗ F)
∂Ψ2_∂HH(F) = ((μ2 / (3.0^(β - 1)) * (tr((H(F))' * H(F)))^(β - 1))) * I9 +
2 * ((μ2 * (β - 1) / (3.0^(β - 1)) * (tr((H(F))' * H(F)))^(β - 2))) * (H(F) ⊗ H(F))
∂Ψ2_∂JJ(F) = (μ1 + 2*μ2) * (1.0 / (J(F))^2) + λ * γ * ((γ - 1) * J(F)^(γ - 2) + (γ + 1) * J(F)^(-γ - 2))
∂Ψuu(F) = ∂Ψ2_∂FF(F) + (F × (∂Ψ2_∂HH(F) × F)) + ∂Ψ2_∂JJ(F) * (H(F) ⊗ H(F)) + ×ᵢ⁴(∂Ψ_∂H(F) + ∂Ψ_∂J(F) * F)
return (Ψ, ∂Ψu, ∂Ψuu)
end
end
struct NonlinearNeoHookean_CV{A} <: Mechano
λ::Float64
μ::Float64
α::Float64
γ::Float64
ρ::Float64
Kinematic::A
function NonlinearNeoHookean_CV(; λ::Float64, μ::Float64, α::Float64, γ::Float64, ρ::Float64=0.0, Kinematic::KinematicModel=Kinematics(Mechano))
new{typeof(Kinematic)}(λ, μ, α, γ, ρ, Kinematic)
end
function (obj::NonlinearNeoHookean_CV)(Λ::Float64=1.0)
_, H, J = get_Kinematics(obj.Kinematic; Λ=Λ)
λ, μ, α, γ = obj.λ, obj.μ, obj.α, obj.γ
Ψ(F) = μ / (2.0 * α * 3.0^(α - 1)) * (tr((F)' * F))^α - μ * log(J(F)) + λ * (J(F)^(γ) + J(F)^(-γ))
∂Ψ_∂F(F) = ((μ / (3.0^(α - 1)) * (tr((F)' * F))^(α - 1))) * F
∂Ψ_∂J(F) = -μ * (1.0 / J(F)) + λ * γ * (J(F)^(γ - 1) - J(F)^(-γ - 1))
∂Ψu(F) = ∂Ψ_∂F(F) + ∂Ψ_∂J(F) * H(F)
∂Ψ2_∂FF(F) = ((μ / (3.0^(α - 1)) * (tr((F)' * F))^(α - 1))) * I9 +
2 * ((μ * (α - 1) / (3.0^(α - 1)) * (tr((F)' * F))^(α - 2))) * (F ⊗ F)
∂Ψ2_∂JJ(F) = μ * (1.0 / (J(F))^2) + λ * γ * ((γ - 1) * J(F)^(γ - 2) + (γ + 1) * J(F)^(-γ - 2))
∂Ψuu(F) = ∂Ψ2_∂FF(F) + ∂Ψ2_∂JJ(F) * (H(F) ⊗ H(F)) + ∂Ψ_∂J(F) * ×ᵢ⁴(F)
return (Ψ, ∂Ψu, ∂Ψuu)
end
end
struct NonlinearIncompressibleMooneyRivlin2D_CV{A} <: Mechano
λ::Float64
μ::Float64
α::Float64
γ::Float64
ρ::Float64
Kinematic::A
function NonlinearIncompressibleMooneyRivlin2D_CV(; λ::Float64, μ::Float64, α::Float64, γ::Float64, ρ::Float64=0.0, Kinematic::KinematicModel=Kinematics(Mechano))
new{typeof(Kinematic)}(λ, μ, α, γ, ρ, Kinematic)
end
function (obj::NonlinearIncompressibleMooneyRivlin2D_CV)(Λ::Float64=1.0)
_, H, J = get_Kinematics(obj.Kinematic; Λ=Λ)
λ, μ, α, γ = obj.λ, obj.μ, obj.α, obj.γ
e(F) = (tr((F)' * F) + 1.0) * J(F)^(-2 / 3)
∂e_∂F(F) = 2 * J(F)^(-2 / 3) * F
∂e_∂J(F) = -(2 / 3) * (tr((F)' * F) + 1.0) * J(F)^(-5 / 3)
∂e2_∂F2(F) = 2 * J(F)^(-2 / 3) * I4
∂e2_∂J2(F) = (10 / 9) * J(F)^(-8 / 3) * (tr((F)' * F) + 1.0)
∂e2_∂FJ(F) = -(4 / 3) * J(F)^(-5 / 3) * F
Ψ1(F) = μ / (2 * α) * (e(F))^α
Ψ2(F) = (λ) * (J(F)^(γ) + J(F)^(-γ))
Ψ(F) = Ψ1(F) + Ψ2(F)
∂Ψ1_∂F(F) = (μ / 2) * (((e(F))^(α - 1.0)) * ∂e_∂F(F))
∂Ψ1_∂J(F) = (μ / 2) * (((e(F))^(α - 1.0)) * ∂e_∂J(F))
∂Ψ2_∂J(F) = λ * γ * (J(F)^(γ - 1) - J(F)^(-γ - 1))
∂Ψ_∂F(F) = ∂Ψ1_∂F(F)
∂Ψ_∂J(F) = ∂Ψ1_∂J(F) + ∂Ψ2_∂J(F)
∂Ψu(F) = ∂Ψ_∂F(F) + ∂Ψ_∂J(F) * H(F)
∂Ψ1_∂F2(F) = (μ / 2) * ((e(F)^(α - 1)) * ∂e2_∂F2(F) + (α - 1) * (e(F)^(α - 2)) * ∂e_∂F(F) ⊗ ∂e_∂F(F))
∂Ψ1_∂J2(F) = (μ / 2) * ((e(F)^(α - 1)) * ∂e2_∂J2(F) + (α - 1) * (e(F)^(α - 2)) * ∂e_∂J(F) * ∂e_∂J(F))
∂Ψ1_∂FJ(F) = (μ / 2) * ((e(F)^(α - 1)) * ∂e2_∂FJ(F) + (α - 1) * (e(F)^(α - 2)) * ∂e_∂F(F) * ∂e_∂J(F))
∂Ψ2_∂J2(F) = λ * γ * ((γ - 1) * J(F)^(γ - 2) + (γ + 1) * J(F)^(-γ - 2))
∂Ψ_∂F2(F) = ∂Ψ1_∂F2(F)
∂Ψ_∂FJ(F) = ∂Ψ1_∂FJ(F)
∂Ψ_∂J2(F) = ∂Ψ1_∂J2(F) + ∂Ψ2_∂J2(F)
∂Ψuu(F) = ∂Ψ_∂F2(F) + ∂Ψ_∂J2(F) * (H(F) ⊗ H(F)) + ∂Ψ_∂FJ(F) ⊗ H(F) + H(F) ⊗ ∂Ψ_∂FJ(F) + ∂Ψ_∂J(F) * _∂H∂F_2D()
return (Ψ, ∂Ψu, ∂Ψuu)
end
end
struct EightChain{A} <: Elasto
μ::Float64
N::Float64
Kinematic::A
function EightChain(; μ::Float64, N::Float64, Kinematic::KinematicModel=Kinematics(Elasto))
new{typeof(Kinematic)}(μ,N)
end
function (obj::EightChain)(Λ::Float64=1.0)
Ψ(F) = begin
C = F' * F
C_iso = det(C)^(-2/3) * C
β = sqrt(tr(C_iso) / 3 / obj.N)
L = β * (3.0 - β^2) / (1.0 - β^2)
obj.μ * obj.N * (β*L + log(L / sinh(L)))
end
∂Ψ∂F(F) = ForwardDiff.gradient(Ψ, get_array(F))
∂Ψ∂FF(F) = ForwardDiff.jacobian(∂Ψ∂F, get_array(F))
return (Ψ, TensorValue ∘ ∂Ψ∂F, TensorValue ∘ ∂Ψ∂FF)
end
end
struct TransverseIsotropy3D{A} <: Mechano
μ::Float64
α::Float64
β::Float64
ρ::Float64
Kinematic::A
function TransverseIsotropy3D(; μ::Float64, α::Float64, β::Float64, ρ::Float64=0.0, Kinematic::KinematicModel=Kinematics(Mechano))
new{typeof(Kinematic)}(μ, α, β, ρ, Kinematic)
end
function (obj::TransverseIsotropy3D)(Λ::Float64=1.0; Threshold=0.01)
_, H, J = get_Kinematics(obj.Kinematic; Λ=Λ)
I4(F, N) = (F * N) ⋅ (F * N)
I5(F, N) = (H(F) * N) ⋅ (H(F) * N)
μ, α, β = obj.μ, obj.α, obj.β
Ψ(F, N) = μ / (2.0 * α) * (I4(F, N)^α - 1) + μ / (2.0 * β) * (I5(F, N)^β - 1) - μ * logreg(J(F))
∂Ψ_∂F(F, N) = (μ * (I4(F, N)^(α - 1))) * ((F * N) ⊗ N)
∂Ψ_∂H(F, N) = (μ * (I5(F, N)^(β - 1))) * ((H(F) * N) ⊗ N)
∂log∂J(J) = J >= Threshold ? 1 / J : (2 / Threshold - J / (Threshold^2))
∂log2∂J2(J) = J >= Threshold ? -1 / (J^2) : (-1 / (Threshold^2))
∂Ψ_∂J(F, N) = -μ * ∂log∂J(J(F))
∂Ψ2_∂J2(F, N) = -μ * ∂log2∂J2(J(F))
∂Ψu(F, N) = ∂Ψ_∂F(F, N) + ∂Ψ_∂H(F, N) × F + ∂Ψ_∂J(F, N) * H(F)
∂ΨFF(F, N) = μ * (I4(F, N)^(α - 1)) * (I3 ⊗₁₃²⁴ (N ⊗ N)) + 2μ * (α - 1) * I4(F, N)^(α - 2) * (((F * N) ⊗ N) ⊗ ((F * N) ⊗ N))
∂ΨHH(F, N) = μ * (I5(F, N)^(β - 1)) * (I3 ⊗₁₃²⁴ (N ⊗ N)) + 2μ * (β - 1) * I5(F, N)^(β - 2) * (((H(F) * N) ⊗ N) ⊗ ((H(F) * N) ⊗ N))
∂Ψuu(F, N) = ∂ΨFF(F, N) + (F × (∂ΨHH(F, N) × F)) + ∂Ψ2_∂J2(F, N) * (H(F) ⊗ H(F)) + ×ᵢ⁴(∂Ψ_∂H(F, N) + ∂Ψ_∂J(F, N) * F)
return (Ψ, ∂Ψu, ∂Ψuu)
end
end
struct TransverseIsotropy2D{A} <: Mechano
μ::Float64
α::Float64
β::Float64
ρ::Float64
Kinematic::A
function TransverseIsotropy2D(; μ::Float64, α::Float64, β::Float64, ρ::Float64=0.0, Kinematic::KinematicModel=Kinematics(Mechano))
new{typeof(Kinematic)}(μ, α, β, ρ, Kinematic)
end
function (obj::TransverseIsotropy2D)(Λ::Float64=1.0; Threshold=0.01)
_, H, J = get_Kinematics(obj.Kinematic; Λ=Λ)
I4(F, N) = (F * N) ⋅ (F * N)
I5(F, N) = (H(F) * N) ⋅ (H(F) * N)
μ, α, β = obj.μ, obj.α, obj.β
Ψ(F, N) = μ / (2.0 * α) * (I4(F, N)^α - 1) + μ / (2.0 * β) * (I5(F, N)^β - 1) - μ * logreg(J(F))
∂I4∂F(F, N) = 2*((F * N) ⊗ N)
∂I4∂F∂F(F, N) = 2*(I2 ⊗₁₃²⁴ (N ⊗ N))
∂I5∂F∂F(F, N) = 2*(I2 ⊗ I2) - 2*(I2 ⊗ (N ⊗ N) + (N ⊗ N) ⊗ I2) + 2*((N ⊗ N) ⊗₁₃²⁴ I2)
∂I5∂F(F, N) = 2*tr(F)*I2 - 2*(N⋅(F*N))*I2 - 2*tr(F)*(N ⊗ N) + 2*(N ⊗ (F'*N))
∂log∂J(J) = J >= Threshold ? 1 / J : (2 / Threshold - J / (Threshold^2))
∂log2∂J2(J) = J >= Threshold ? -1 / (J^2) : (-1 / (Threshold^2))
∂Ψ_∂J(F, N) = -μ * ∂log∂J(J(F))
∂Ψ2_∂J2(F, N) = -μ * ∂log2∂J2(J(F))
∂Ψu(F, N) = (μ/2 * (I4(F, N)^(α - 1))) * ∂I4∂F(F, N) +
(μ/2 * (I5(F, N)^(β - 1))) * ∂I5∂F(F, N) +
∂Ψ_∂J(F, N) * H(F)
∂Ψuu(F, N) = μ/2*(α-1)*(I4(F, N)^(α - 2)) * (∂I4∂F(F, N)) ⊗ (∂I4∂F(F, N)) +
μ/2*(I4(F, N)^(α - 1)) * ∂I4∂F∂F(F, N) +