DAMASK_EICMD/examples/config/phase/mechanical/plastic/phenopowerlaw_Au.yaml

type: phenopowerlaw

references:
  - D. Ma et al.,
    Acta Materialia 103:796-808, 2016,
    https://doi.org/10.1016/j.actamat.2015.11.016
  - I. Kovács and G.Vörös,
    International Journal of Plasticity 12:35-43, 1996,
    https://doi.org/10.1016/S0749-6419(95)00043-7
  - U.F. Kocks,
    Metallurgical and Materials Transactions B 1:1121–1143, 1970,
    https://doi.org/10.1007/BF02900224

output: [xi_sl, gamma_sl]

N_sl: [12]

n_sl: 83.3
a_sl: 1.0
h_0_sl-sl: 75.0e+6
xi_0_sl: [26.25e+6]
xi_inf_sl: [53.0e+6]
h_sl-sl: [1, 1, 1.4, 1.4, 1.4, 1.4, 1.4]
dot_gamma_0_sl: 0.001
-												modularizing further

steepens the learning curve. But ensures that ther IS a learning curve

											
										
										
											2021-03-27 23:17:53 +05:30
+								type: phenopowerlaw
-												polishing

											
										
										
											2022-02-12 23:11:59 +05:30
-												data for thermal expansion

											
										
										
											2021-05-24 13:32:28 +05:30
+								references:
 								  - D. Ma et al.,
-												reference can now include comments!

											
										
										
											2021-07-14 00:16:50 +05:30
+								    Acta Materialia 103:796-808, 2016,
 								    https://doi.org/10.1016/j.actamat.2015.11.016
-												data for thermal expansion

											
										
										
											2021-05-24 13:32:28 +05:30
+								  - I. Kovács and G.Vörös,
-												reference can now include comments!

											
										
										
											2021-07-14 00:16:50 +05:30
+								    International Journal of Plasticity 12:35-43, 1996,
 								    https://doi.org/10.1016/S0749-6419(95)00043-7
-												reference for 1.4/1

											
										
										
											2021-08-14 16:31:37 +05:30
+								  - U.F. Kocks,
 								    Metallurgical and Materials Transactions B 1:1121–1143, 1970,
 								    https://doi.org/10.1007/BF02900224
-												polishing

											
										
										
											2022-02-12 23:11:59 +05:30
-												data for thermal expansion

											
										
										
											2021-05-24 13:32:28 +05:30
+								output: [xi_sl, gamma_sl]
-												polishing

											
										
										
											2022-02-12 23:11:59 +05:30
-												modularizing further

steepens the learning curve. But ensures that ther IS a learning curve

											
										
										
											2021-03-27 23:17:53 +05:30
+								N_sl: [12]
-												polishing

											
										
										
											2022-02-12 23:11:59 +05:30
-												data for thermal expansion

											
										
										
											2021-05-24 13:32:28 +05:30
+								n_sl: 83.3
-												modularizing further

steepens the learning curve. But ensures that ther IS a learning curve

											
										
										
											2021-03-27 23:17:53 +05:30
+								a_sl: 1.0
-												python YAML is too picky/following v1.1

https://stackoverflow.com/questions/30458977

											
										
										
											2021-06-29 13:44:59 +05:30
+								h_0_sl-sl: 75.0e+6
-												correct conversion to float

											
										
										
											2021-06-29 14:52:42 +05:30
+								xi_0_sl: [26.25e+6]
-												python YAML is too picky/following v1.1

https://stackoverflow.com/questions/30458977

											
										
										
											2021-06-29 13:44:59 +05:30
+								xi_inf_sl: [53.0e+6]
-												polishing example configurations

											
										
										
											2021-06-25 18:55:35 +05:30
+								h_sl-sl: [1, 1, 1.4, 1.4, 1.4, 1.4, 1.4]
 								dot_gamma_0_sl: 0.001