Index
A
Acoustic emission, 337, 351
Affine transformation-based displacement
boundary condition (ATDBC), 299,
300, 309–314, 322–324
Air Force Office of Scientific Research
(AFOSR), 92
Annealing twins, 1–3, 74, 76, 87, 96, 224
boundaries, 2
microstructure, 1
Ni-based superalloys, 87
volume fraction, 96
X-ray techniques, 3
B
Bauschinger effect, 135, 148, 152
Boron, 385–387, 391
C
Calibration
general process, 175–176
global methods
computational model, 178–179
data flow, 177–178
uncertainty quantification, 181–184
Carbon-epoxy composites, 331, 349, 350, 365
Center of excellence on integrated materials
modeling (CEIMM), 19, 92, 96, 103
Ceramic matrix composites (CMCs), 256, 257
Circular cylindrical fibers, 324–325
Coarse-grained molecular dynamics (CG-MD)
methods, 270–274, 276, 278–281,
285, 287, 290
Cohesive model, 331, 342
Compaction, 378, 381
Composite laminate, 329–331, 336, 343,
349–351, 356, 365
Computer science, 75, 79, 111, 253, 368, 369
Crack initiation
cyclic plastic strain amplitude, 138
fatigue, 159
NND, 351
nonmetallic inclusion, 12
prediction, 154
probability map, 258
strain localization, 3
3D dataset, 11
Crystal plasticity (CP)
ARMCO oligocrystal specimen, 167
concepts, 173–175
CPFE (see Crystal plasticity finite element
methods (CPFEM))
density-based, 57, 70
engineering applications, 166
FEMU, 167
global data, 168
grain-scale mechanical behavior, 165
Inconel 718 grains, 143
local data
DIC, 169–171
HREBSD, 170–171
model parameter identification, 150–151
Ni-based superalloys, 70–71
parameter calibration, 166
P-SERVE convergence studies, 85–87
simulations, 21
urethane residual layer, 172
VPSC, 377
© Springer Nature Switzerland AG 2020
S. Ghosh et al. (eds.), Integrated Computational Materials Engineering (ICME),
https://doi.org/10.1007/978-3-030-40562-5
399
A
Acoustic emission, 337, 351
Affine transformation-based displacement
boundary condition (ATDBC), 299,
300, 309–314, 322–324
Air Force Office of Scientific Research
(AFOSR), 92
Annealing twins, 1–3, 74, 76, 87, 96, 224
boundaries, 2
microstructure, 1
Ni-based superalloys, 87
volume fraction, 96
X-ray techniques, 3
B
Bauschinger effect, 135, 148, 152
Boron, 385–387, 391
C
Calibration
general process, 175–176
global methods
computational model, 178–179
data flow, 177–178
uncertainty quantification, 181–184
Carbon-epoxy composites, 331, 349, 350, 365
Center of excellence on integrated materials
modeling (CEIMM), 19, 92, 96, 103
Ceramic matrix composites (CMCs), 256, 257
Circular cylindrical fibers, 324–325
Coarse-grained molecular dynamics (CG-MD)
methods, 270–274, 276, 278–281,
285, 287, 290
Cohesive model, 331, 342
Compaction, 378, 381
Composite laminate, 329–331, 336, 343,
349–351, 356, 365
Computer science, 75, 79, 111, 253, 368, 369
Crack initiation
cyclic plastic strain amplitude, 138
fatigue, 159
NND, 351
nonmetallic inclusion, 12
prediction, 154
probability map, 258
strain localization, 3
3D dataset, 11
Crystal plasticity (CP)
ARMCO oligocrystal specimen, 167
concepts, 173–175
CPFE (see Crystal plasticity finite element
methods (CPFEM))
density-based, 57, 70
engineering applications, 166
FEMU, 167
global data, 168
grain-scale mechanical behavior, 165
Inconel 718 grains, 143
local data
DIC, 169–171
HREBSD, 170–171
model parameter identification, 150–151
Ni-based superalloys, 70–71
parameter calibration, 166
P-SERVE convergence studies, 85–87
simulations, 21
urethane residual layer, 172
VPSC, 377
© Springer Nature Switzerland AG 2020
S. Ghosh et al. (eds.), Integrated Computational Materials Engineering (ICME),
https://doi.org/10.1007/978-3-030-40562-5
399