Non-deterministic Calibration
197
15. A. Guery, F. Hild, F. Latourte, S. Roux, Identification of crystal plasticity parameters using
DIC measurements and weighted FEMU. Mech. Mater. 100, 55–71 (2016)
16. H. Haario, M. Laine, A. Mira, E. Saksman, Dram: efficient adaptive MCMC. Stat. Comput.
16(4), 339–354 (2006)
17. T. Hoc, J. Crèpin, L. Gèplèrt, A. Zaoui, A nonprocedure for identifying the plastic behavior of
single crystals from the local response of polycrystals. Acta Mater. 51(18), 5477–5488 (2003)
18. B.E. Jackson, J.J. Christensen, S. Singh, M. De Graef, D.T. Fullwood, E.R. Homer, R.H.
Wagoner, Performance of dynamically simulated reference patterns for cross-correlation
electron backscatter diffraction. Microsc. Microanal. 22(4), 789–802 (2016)
19. H. Jin, W. Lu, J. Korellis, Micro-scale deformation measurement using the digital image
correlation technique and scanning electron microscope imaging. J. Strain Anal. Eng. Des.
43(8), 719–728 (2008)
20. J. Kacher, C. Landon, B.L. Adams, D. Fullwood, Bragg‘s law diffraction simulations for
electron backscatter diffraction analysis. Ultramicroscopy 109(9), 1148–1156 (2009)
21. J. Kaipio, E. Somersalo, Statistical and Computational Inverse Problems (Springer Science &
Business Media, New York, 2006)
22. M.C. Kennedy, A. O’Hagan, Bayesian calibration of computer models. J. R. Stat. Soc. Ser. B
(Stat. Methodol.) 63(3), 425–464 (2001)
23. R. Lebensohn, C. Tomé, A self-consistent anisotropic approach for the simulation of plastic
deformation and texture development of polycrystals: application to zirconium alloys. Acta
Metall. et Mater. 41(9), 2611–2624 (1993)
24. H. Leclerc, J.N. Périé, S. Roux, F. Hild, Integrated digital image correlation for the identification of mechanical properties, in Proceedings of the 4th International Conference on Computer
Vision/Computer Graphics Collaboration Techniques (Springer, 2009), pp. 161–171
25. H. Lim, J. Carroll, C. Battaile, T. Buchheit, B. Boyce, C. Weinberger, Grain-scale experimental
validation of crystal plasticity finite element simulations of tantalum oligocrystals. Int. J. Plast.
60, 1–18 (2014)
26. F. Mathieu, H. Leclerc, F. Hild, S. Roux, Estimation of elastoplastic parameters via weighted
FEMU and integrated-DIC. Exp. Mech. 55(1), 105–119 (2015)
27. J. Nocedal, S. Wright, Numerical Optimization, Springer Series in Operations Research and
Financial Engineering, 2nd edn. (Springer-Verlag, New York, 2006). http://dx.doi.org/10.1007/
978-0-387-40065-5
28. B. Pan, K. Qian, H. Xie, A. Asundi, Two-dimensional digital image correlation for in-plane
displacement and strain measurement: a review. Meas. Sci. Technol. 20(6), 062001 (2009)
29. A. Patil, D. Huard, C.J. Fonnesbeck, PyMC: bayesian stochastic modelling in Python. J. Stat.
Softw. 35(4), 1–81 (2010)
30. P.L. Phillips, A. Brockman, R. John, Modelling strategies for property identification based on
full-field surface displacement data. Strain 48, 143–152 (2011)
31. R.S. Piascik, N.F. Knight Jr., Re-tooling the agency’s engineering predictive practices for
durability and damage tolerance. NASA/TM-2017–219621, 60 (2017)
32. O. Rokoš, J. Hoefnagels, R. Peerlings, M. Geers, On micromechanical parameter identification
with integrated dic and the role of accuracy in kinematic boundary conditions. Int. J. Solids
Struct. 146, 241–259 (2018)
33. F. Roters, P. Eisenlohr, L. Hantcherli, D. Tjahjanto, T. Bieler, D. Raabe, Overview of
constitutive laws, kinematics, homogenization and multiscale methods in crystal plasticity
finite-element modeling: theory, experiments, applications. Acta Mater. 58(4), 1152–1211
(2010)
34. T. Ruggles, D. Fullwood, J. Kysar, Resolving geometrically necessary dislocation density onto
individual dislocation types using EBSD-based continuum dislocation microscopy. Int. J. Plast.
76, 231–243 (2016)
35. T.J. Ruggles, G.F. Bomarito, A.H. Cannon, J.D. Hochhalter, Selectively electron-transparent
microstamping toward concurrent digital image correlation and high-angular resolution electron backscatter diffraction (EBSD) analysis. Microsc. Microanal. 23(6), 1091–1095 (2017)
197
15. A. Guery, F. Hild, F. Latourte, S. Roux, Identification of crystal plasticity parameters using
DIC measurements and weighted FEMU. Mech. Mater. 100, 55–71 (2016)
16. H. Haario, M. Laine, A. Mira, E. Saksman, Dram: efficient adaptive MCMC. Stat. Comput.
16(4), 339–354 (2006)
17. T. Hoc, J. Crèpin, L. Gèplèrt, A. Zaoui, A nonprocedure for identifying the plastic behavior of
single crystals from the local response of polycrystals. Acta Mater. 51(18), 5477–5488 (2003)
18. B.E. Jackson, J.J. Christensen, S. Singh, M. De Graef, D.T. Fullwood, E.R. Homer, R.H.
Wagoner, Performance of dynamically simulated reference patterns for cross-correlation
electron backscatter diffraction. Microsc. Microanal. 22(4), 789–802 (2016)
19. H. Jin, W. Lu, J. Korellis, Micro-scale deformation measurement using the digital image
correlation technique and scanning electron microscope imaging. J. Strain Anal. Eng. Des.
43(8), 719–728 (2008)
20. J. Kacher, C. Landon, B.L. Adams, D. Fullwood, Bragg‘s law diffraction simulations for
electron backscatter diffraction analysis. Ultramicroscopy 109(9), 1148–1156 (2009)
21. J. Kaipio, E. Somersalo, Statistical and Computational Inverse Problems (Springer Science &
Business Media, New York, 2006)
22. M.C. Kennedy, A. O’Hagan, Bayesian calibration of computer models. J. R. Stat. Soc. Ser. B
(Stat. Methodol.) 63(3), 425–464 (2001)
23. R. Lebensohn, C. Tomé, A self-consistent anisotropic approach for the simulation of plastic
deformation and texture development of polycrystals: application to zirconium alloys. Acta
Metall. et Mater. 41(9), 2611–2624 (1993)
24. H. Leclerc, J.N. Périé, S. Roux, F. Hild, Integrated digital image correlation for the identification of mechanical properties, in Proceedings of the 4th International Conference on Computer
Vision/Computer Graphics Collaboration Techniques (Springer, 2009), pp. 161–171
25. H. Lim, J. Carroll, C. Battaile, T. Buchheit, B. Boyce, C. Weinberger, Grain-scale experimental
validation of crystal plasticity finite element simulations of tantalum oligocrystals. Int. J. Plast.
60, 1–18 (2014)
26. F. Mathieu, H. Leclerc, F. Hild, S. Roux, Estimation of elastoplastic parameters via weighted
FEMU and integrated-DIC. Exp. Mech. 55(1), 105–119 (2015)
27. J. Nocedal, S. Wright, Numerical Optimization, Springer Series in Operations Research and
Financial Engineering, 2nd edn. (Springer-Verlag, New York, 2006). http://dx.doi.org/10.1007/
978-0-387-40065-5
28. B. Pan, K. Qian, H. Xie, A. Asundi, Two-dimensional digital image correlation for in-plane
displacement and strain measurement: a review. Meas. Sci. Technol. 20(6), 062001 (2009)
29. A. Patil, D. Huard, C.J. Fonnesbeck, PyMC: bayesian stochastic modelling in Python. J. Stat.
Softw. 35(4), 1–81 (2010)
30. P.L. Phillips, A. Brockman, R. John, Modelling strategies for property identification based on
full-field surface displacement data. Strain 48, 143–152 (2011)
31. R.S. Piascik, N.F. Knight Jr., Re-tooling the agency’s engineering predictive practices for
durability and damage tolerance. NASA/TM-2017–219621, 60 (2017)
32. O. Rokoš, J. Hoefnagels, R. Peerlings, M. Geers, On micromechanical parameter identification
with integrated dic and the role of accuracy in kinematic boundary conditions. Int. J. Solids
Struct. 146, 241–259 (2018)
33. F. Roters, P. Eisenlohr, L. Hantcherli, D. Tjahjanto, T. Bieler, D. Raabe, Overview of
constitutive laws, kinematics, homogenization and multiscale methods in crystal plasticity
finite-element modeling: theory, experiments, applications. Acta Mater. 58(4), 1152–1211
(2010)
34. T. Ruggles, D. Fullwood, J. Kysar, Resolving geometrically necessary dislocation density onto
individual dislocation types using EBSD-based continuum dislocation microscopy. Int. J. Plast.
76, 231–243 (2016)
35. T.J. Ruggles, G.F. Bomarito, A.H. Cannon, J.D. Hochhalter, Selectively electron-transparent
microstamping toward concurrent digital image correlation and high-angular resolution electron backscatter diffraction (EBSD) analysis. Microsc. Microanal. 23(6), 1091–1095 (2017)