Generalized method of sensitivity analysis for uncertainty quantification in Calphad calculations

被引:2
|
作者
Ury, Nicholas [1 ]
Otis, Richard [1 ]
Ravi, Vilupanur [1 ]
机构
[1] Calif State Polytech Univ Pomona, Pomona 3801 W Temple Ave, Pomona, CA 91768 USA
来源
CALPHAD-COMPUTER COUPLING OF PHASE DIAGRAMS AND THERMOCHEMISTRY | 2022年 / 79卷
关键词
CALPHAD; Uncertainty propagation; Bayesian statistics; Mg-Si; Model assessments; MG-SI; SYSTEMS;
D O I
10.1016/j.calphad.2022.102504
中图分类号
O414.1 [热力学];
学科分类号
摘要
Calculation of Phase Diagrams (Calphad) is a method of using thermodynamic models obtained from experi-mental data to perform thermodynamic calculations. The next step to advancing this methodology is to account for the inconsistency or lack of data when assessing thermodynamic systems. A generalized method of propa-gating uncertainty through Calphad calculations by local expansion is proposed such that any type of Gibbs free energy model or number of components can be used. This method is faster than Monte Carlo approaches as only a single equilibrium calculation is needed for uncertainty propagation and also improves upon previous ap-proaches to uncertainty propagation by its generalization to any thermodynamic system. As a case study, the Mg-Si system was assessed using a Bayesian approach and various thermodynamic calculations were performed comparing uncertainty quantification by Monte Carlo and the method in this work. Sensitivities (derivatives with respect to model parameters) were calculated on the Fe-Cr-Ni system and compared with sensitivities deter-mined by finite different method.
引用
收藏
页数:11
相关论文
共 50 条
  • [41] Uncertainty quantification and sensitivity analysis of an unsteady axisymmetric reacting solid particle
    Hassan, A.
    Schumacher, L.
    Sabry, M.
    Le Chenadec, V.
    Sayadi, T.
    COMBUSTION AND FLAME, 2024, 262
  • [42] Parametric Sensitivity Analysis and Uncertainty Quantification of Ice Giant Aerocapture Aerothermodynamics
    Rataczak, Jens A.
    Boyd, Kin D.
    McMahon, Jay W.
    AIAA AVIATION FORUM AND ASCEND 2024, 2024,
  • [43] Sensitivity analysis and uncertainty quantification of a seismic risk model for road networks
    Allen, Eduardo
    Chamorro, Alondra
    Poulos, Alan
    Castro, Sebastian
    Carlos de la Llera, Juan
    Echaveguren, Tomas
    COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2022, 37 (04) : 516 - 530
  • [44] Transition of the variational sensitivity analysis to polymorphic uncertainty quantification to soil investigations
    Henning, C.
    Ricken, T.
    ADVANCES IN ENGINEERING MATERIALS, STRUCTURES AND SYSTEMS: INNOVATIONS, MECHANICS AND APPLICATIONS, 2019, : 297 - 302
  • [45] Uncertainty quantification and sensitivity analysis of neuron models with ion concentration dynamics
    Signorelli, Letizia
    Manzoni, Andrea
    Saetra, Marte J.
    PLOS ONE, 2024, 19 (05):
  • [46] Uncertainty Quantification and Sensitivity Analysis in Subsurface Defect Detection with Sparse Models
    Zygiridis, Theodoros
    Kyrgiazoglou, Athanasios
    Amanatiadis, Stamatios
    Kantartzis, Nikolaos
    Theodoulidis, Theodoros
    JOURNAL OF NONDESTRUCTIVE EVALUATION, 2024, 43 (04)
  • [47] Adaptive multi-index collocation for uncertainty quantification and sensitivity analysis
    Jakeman, John D.
    Eldred, Michael S.
    Geraci, Gianluca
    Gorodetsky, Alex
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 2020, 121 (06) : 1314 - 1343
  • [48] Uncertainty quantification and global sensitivity analysis of transonic aerodynamics about airfoil
    Wu, Xiaojing
    Zhang, Weiwei
    Song, Shufang
    Ye, Zhengyin
    Lixue Xuebao/Chinese Journal of Theoretical and Applied Mechanics, 2015, 47 (04): : 587 - 595
  • [49] Model and analysis of single event transient sensitivity based on uncertainty quantification
    Liu, Baojun
    Cai, Li
    MICROPROCESSORS AND MICROSYSTEMS, 2022, 90
  • [50] Uncertainty quantification of dry woven fabrics: A sensitivity analysis on material properties
    Akmar, A. B. Ilyani
    Lahmer, T.
    Bordas, S. P. A.
    Beex, L. A. A.
    Rabczuk, T.
    COMPOSITE STRUCTURES, 2014, 116 : 1 - 17