Mesh-Based and Meshfree Reduced Order Phase-Field Models for Brittle Fracture: One Dimensional Problems
Modelling brittle fracture by a phase-field fracture formulation has now been widely accepted. However, the full-order phase-field fracture model implemented using finite elements results in a nonlinear coupled system for which simulations are very computationally demanding, particularly for paramet...
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doaj-90a4f74c00764c188db265830d5e09d42020-11-25T01:30:15ZengMDPI AGMaterials1996-19442019-06-011211185810.3390/ma12111858ma12111858Mesh-Based and Meshfree Reduced Order Phase-Field Models for Brittle Fracture: One Dimensional ProblemsNgoc-Hien Nguyen0Vinh Phu Nguyen1Jian-Ying Wu2Thi-Hong-Hieu Le3Yan Ding4Institute of Research and Development, Duy Tan University, Da Nang 550000, VietnamDepartment of Civil Engineering, Monash University, Clayton, Victoria 3800, AustraliaState Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou 510641, ChinaDepartment of Aerospace Engineering, Ho Chi Minh City University of Technology, Ho Chi Minh City 700000, VietnamDepartment of Mathematical Sciences, School of Science, RMIT University, Melbourne, Victoria 3000, AustraliaModelling brittle fracture by a phase-field fracture formulation has now been widely accepted. However, the full-order phase-field fracture model implemented using finite elements results in a nonlinear coupled system for which simulations are very computationally demanding, particularly for parametrized problems when the randomness and uncertainty of material properties are considered. To tackle this issue, we present two reduced-order phase-field models for parametrized brittle fracture problems in this work. The first one is a mesh-based Proper Orthogonal Decomposition (POD) method. Both the Discrete Empirical Interpolation Method (DEIM) and the Matrix Discrete Empirical Interpolation Method ((M)DEIM) are adopted to approximate the nonlinear vectors and matrices. The second one is a meshfree Krigingmodel. For one-dimensional problems, served as <i>proof-of-concept demonstrations</i>, in which Young’s modulus and the fracture energy vary, the POD-based model can speed up the online computations eight-times, and for the Kriging model, the speed-up factor is 1100, albeit with a slightly lower accuracy. Another merit of the Kriging’s model is its non-intrusive nature, as one does not need to modify the full-order model code.https://www.mdpi.com/1996-1944/12/11/1858phase-field theorybrittle fractureReduced-Order Model (ROM)Kriging modelProper Orthogonal Decomposition (POD) |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ngoc-Hien Nguyen Vinh Phu Nguyen Jian-Ying Wu Thi-Hong-Hieu Le Yan Ding |
spellingShingle |
Ngoc-Hien Nguyen Vinh Phu Nguyen Jian-Ying Wu Thi-Hong-Hieu Le Yan Ding Mesh-Based and Meshfree Reduced Order Phase-Field Models for Brittle Fracture: One Dimensional Problems Materials phase-field theory brittle fracture Reduced-Order Model (ROM) Kriging model Proper Orthogonal Decomposition (POD) |
author_facet |
Ngoc-Hien Nguyen Vinh Phu Nguyen Jian-Ying Wu Thi-Hong-Hieu Le Yan Ding |
author_sort |
Ngoc-Hien Nguyen |
title |
Mesh-Based and Meshfree Reduced Order Phase-Field Models for Brittle Fracture: One Dimensional Problems |
title_short |
Mesh-Based and Meshfree Reduced Order Phase-Field Models for Brittle Fracture: One Dimensional Problems |
title_full |
Mesh-Based and Meshfree Reduced Order Phase-Field Models for Brittle Fracture: One Dimensional Problems |
title_fullStr |
Mesh-Based and Meshfree Reduced Order Phase-Field Models for Brittle Fracture: One Dimensional Problems |
title_full_unstemmed |
Mesh-Based and Meshfree Reduced Order Phase-Field Models for Brittle Fracture: One Dimensional Problems |
title_sort |
mesh-based and meshfree reduced order phase-field models for brittle fracture: one dimensional problems |
publisher |
MDPI AG |
series |
Materials |
issn |
1996-1944 |
publishDate |
2019-06-01 |
description |
Modelling brittle fracture by a phase-field fracture formulation has now been widely accepted. However, the full-order phase-field fracture model implemented using finite elements results in a nonlinear coupled system for which simulations are very computationally demanding, particularly for parametrized problems when the randomness and uncertainty of material properties are considered. To tackle this issue, we present two reduced-order phase-field models for parametrized brittle fracture problems in this work. The first one is a mesh-based Proper Orthogonal Decomposition (POD) method. Both the Discrete Empirical Interpolation Method (DEIM) and the Matrix Discrete Empirical Interpolation Method ((M)DEIM) are adopted to approximate the nonlinear vectors and matrices. The second one is a meshfree Krigingmodel. For one-dimensional problems, served as <i>proof-of-concept demonstrations</i>, in which Young’s modulus and the fracture energy vary, the POD-based model can speed up the online computations eight-times, and for the Kriging model, the speed-up factor is 1100, albeit with a slightly lower accuracy. Another merit of the Kriging’s model is its non-intrusive nature, as one does not need to modify the full-order model code. |
topic |
phase-field theory brittle fracture Reduced-Order Model (ROM) Kriging model Proper Orthogonal Decomposition (POD) |
url |
https://www.mdpi.com/1996-1944/12/11/1858 |
work_keys_str_mv |
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