Parametric stress field solutions for heterogeneous materials using proper generalized decomposition

被引:2
|
作者
Hou, Jie [1 ]
Heryudono, Alfa [2 ]
Huang, Wenzhen [1 ]
Li, Jun [1 ]
机构
[1] Univ Massachusetts Dartmouth, Dept Mech Engn, 285 Old Westport Rd, Dartmouth, MA 02747 USA
[2] Univ Massachusetts Dartmouth, Dept Math, 285 Old Westport Rd, Dartmouth, MA 02747 USA
关键词
ORTHOGONAL DECOMPOSITION; MODEL-REDUCTION; EQUATIONS; SOLVERS; SCHEME; FAMILY;
D O I
10.1007/s00707-022-03384-3
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
The proper generalized decomposition (PGD) method is developed for parametric solutions of full stress fields in heterogeneous materials. PGD decouples the multi-dimensional problem into a product of low-dimensional expansion with an enrichment process to approximate the field solutions. The configurations of inclusions (size, location, and material properties) and other model parameters can be included as extra-coordinates in PGD formulations to develop parametric field solutions. Numerical examples of 2D linear elastic heterogeneous materials with an inclusion varying in size, location, and stiffness properties are studied. Almost invisible differences on the full stress fields were observed between FEA and PGD approximate solutions, with the mean squared error (MSE) mostly within 0.25 for the whole stress field. The proposed PGD implementation for heterogeneous materials is able to predict the full stress fields including all localized stress concentration patterns with high accuracy. The parametric solutions from the PGD framework enable online computations of full stress fields for heterogeneous materials, providing a viable way for design optimization, uncertainty quantification, and many other real-time tasks.
引用
收藏
页码:5283 / 5297
页数:15
相关论文
共 50 条
  • [21] Proper generalized decomposition solutions for composite laminates parametrized with fibre orientations
    K. El-Ghamrawy
    S. Zlotnik
    F. Auricchio
    P. Díez
    Computational Mechanics, 2023, 71 : 89 - 105
  • [22] EVALUATING MODEL REDUCTION METHODS FOR HEAT AND MASS TRANSFER IN POROUS MATERIALS: PROPER ORTHOGONAL DECOMPOSITION AND PROPER GENERALIZED DECOMPOSITION
    Berger, J.
    Guernouti, S.
    Woloszyn, M.
    JOURNAL OF POROUS MEDIA, 2019, 22 (03) : 363 - 385
  • [23] Parametric solutions of turbulent incompressible flows in OpenFOAM via the proper generalised decomposition
    Tsiolakis, Vasileios
    Giacomini, Matteo
    Sevilla, Ruben
    Othmer, Carsten
    Huerta, Antonio
    JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 449
  • [24] A Proper Generalized Decomposition (PGD) approach to crack propagation in brittle materials: with application to random field material properties
    Hasini Garikapati
    Sergio Zlotnik
    Pedro Díez
    Clemens V. Verhoosel
    E. Harald van Brummelen
    Computational Mechanics, 2020, 65 : 451 - 473
  • [25] A Proper Generalized Decomposition (PGD) approach to crack propagation in brittle materials: with application to random field material properties
    Garikapati, Hasini
    Zlotnik, Sergio
    Diez, Pedro
    Verhoosel, Clemens V.
    van Brummelen, E. Harald
    COMPUTATIONAL MECHANICS, 2020, 65 (02) : 451 - 473
  • [26] Nonincremental proper generalized decomposition solution of parametric uncoupled models defined in evolving domains
    Ammar, Amine
    Cueto, Elias
    Chinesta, Francisco
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 2013, 93 (08) : 887 - 904
  • [27] Towards a Vector Field Based Approach to the Proper Generalized Decomposition (PGD)
    Falco, Antonio
    Hilario, Lucia
    Montes, Nicolas
    Mora, Marta C.
    Nadal, Enrique
    MATHEMATICS, 2021, 9 (01) : 1 - 14
  • [28] Elastic calibration of a discrete domain using a proper generalized decomposition
    Girardot, J.
    Pruliere, E.
    COMPUTATIONAL PARTICLE MECHANICS, 2021, 8 (04) : 993 - 1000
  • [29] Elastic calibration of a discrete domain using a proper generalized decomposition
    J. Girardot
    E. Prulière
    Computational Particle Mechanics, 2021, 8 : 993 - 1000
  • [30] SUPG-based Stabilization using Proper Generalized Decomposition
    Gonzalez, D.
    Cueto, E.
    Debeugny, L.
    Chinesta, F.
    Diez, P.
    Huerta, A.
    PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE ON ENGINEERING COMPUTATIONAL TECHNOLOGY, 2010, 94