Mesoscale modelling of dislocation evolution: Physically based requirements on stochastic differential equations

被引:1
|
作者
Wong, Kelvin [1 ]
Armstrong, Nicholas [2 ]
机构
[1] Monash Univ, Dept Mech & Aerosp Engn, Clayton, Vic 3168, Australia
[2] Def Sci & Technol Grp, Fishermans Bend, Vic 3207, Australia
关键词
Mesoscale dislocation models; Plastic deformation; Stochastic model for dislocation evolution; CRYSTAL PLASTICITY; DEFORMATION; DERIVATION; BIOLOGY;
D O I
10.1016/j.actamat.2023.119195
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The complexity of collective dislocation behaviour has motivated the use of mesoscopic models, which describe the average behaviour of dislocations. Due to the statistical nature of such models, it has been argued that a stochastic theory provides a more complete physical description. A number of stochastic differential equation (SDE)-based dislocation models have been proposed over the past three decades; however, there is no generally accepted method for transforming a deterministic model into a stochastic model. A range of approaches exist in the literature, but the choice of method is ad hoc and their physical consequences are not considered. Such transformations therefore may not preserve certain properties of the corresponding deterministic theory, namely that of non-negativity of the dislocation density. In the present work, we show that the drift and diffusion coefficients must extend to zero on the semi-closed interval [0, & INFIN;) to guarantee non-negativity of the dislocation density. We also demonstrate the breakdown of non-negativity in SDE-based dislocation models through analytical treatment of a class of mesoscale models, and propose a possible modification. We bring to attention a physically motivated method for deriving stochastic models which preserves non-negativity, and in general ensures that trajectories exist almost surely in some given set, so that it obeys the desired physical bounds on the state variables - called the stochastic invariance principle. These results can provide a better understanding of dislocation models used to describe microstructural damage accumulation in metallic structures, which can be incorporated into fatigue lifing models.
引用
收藏
页数:14
相关论文
共 50 条
  • [41] A theory of open systems based on stochastic differential equations
    A. M. Basharov
    Optics and Spectroscopy, 2014, 116 : 495 - 503
  • [42] A theory of open systems based on stochastic differential equations
    Basharov, A. M.
    OPTICS AND SPECTROSCOPY, 2014, 116 (04) : 495 - 503
  • [43] Statistical modelling of solutions of stochastic differential equations with reflection of trajectories from the boundary
    Makarov, RN
    RUSSIAN JOURNAL OF NUMERICAL ANALYSIS AND MATHEMATICAL MODELLING, 2001, 16 (03) : 261 - 278
  • [44] Physically based modelling of water age at the hillslope scale: The Boussinesq age equations
    Zarlenga, Antonio
    Fiori, Aldo
    HYDROLOGICAL PROCESSES, 2020, 34 (12) : 2694 - 2706
  • [45] Power system modelling as stochastic functional hybrid differential-algebraic equations
    Milano, Federico
    Liu, Muyang
    Murad, Mohammed A. A.
    Jonsdottir, Guorun M.
    Tzounas, Georgios
    Adeen, Muhammad
    Ortega, Alvaro
    Dassios, Ioannis
    IET SMART GRID, 2022, 5 (05) : 309 - 331
  • [46] Algebraic properties of evolution partial differential equations modelling prices of commodities
    Sophocleous, C.
    Leach, P. G. L.
    Andriopoulos, K.
    MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2008, 31 (06) : 679 - 694
  • [47] Modelling the evolution of human postmenopausal longevity using ordinary differential equations
    Le, A.
    Kim, P. S.
    INTERNATIONAL JOURNAL OF MATHEMATICAL EDUCATION IN SCIENCE AND TECHNOLOGY, 2024,
  • [48] SRDE: An Improved Differential Evolution Based on Stochastic Ranking
    Liu, Jinchao
    Fan, Zhun
    Goodman, Erik
    WORLD SUMMIT ON GENETIC AND EVOLUTIONARY COMPUTATION (GEC 09), 2009, : 345 - 352
  • [49] HIGH WEAK ORDER METHODS FOR STOCHASTIC DIFFERENTIAL EQUATIONS BASED ON MODIFIED EQUATIONS
    Abdulle, Assyr
    Cohen, David
    Vilmart, Gilles
    Zygalakis, Konstantinos C.
    SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2012, 34 (03): : A1800 - A1823
  • [50] Physically based modelling of glacier evolution under climate change in the tropical Andes
    Mackay, Jonathan D.
    Barrand, Nicholas E.
    Hannah, David M.
    Potter, Emily
    Montoya, Nilton
    Buytaert, Wouter
    CRYOSPHERE, 2025, 19 (02): : 685 - 712