4.7 Article

A strong discontinuity approach on multiple levels to model solids at failure

期刊

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.cma.2012.07.005

关键词

Strong discontinuities; Advanced finite elements; Failure of solids; Domain decomposition; Crack branching

资金

  1. German Research Foundation (DFG) [LI 1915/1-1]
  2. Cluster of Excellence in Simulation Technology at the University of Stuttgart [ExC 310/1]

向作者/读者索取更多资源

This paper presents a modification of the well established strong discontinuity approach to model failure phenomena in solids by extending it to multiple levels. This is achieved by the resolution of the overall problem to be solved into a main boundary value problem and identified sub-domains based on the concepts of domain decomposition. The initiation of those sub-domains is based on the detection of failure onset within finite elements of the main boundary value problem which takes place at the process zone in front of the propagating cracks. Those sub-domains are subsequently adaptively discretized during run-time and comprise the so called sub-boundary value problem to be solved simultaneously with the main boundary value problem. To model failure, only the sub-elements of those sub-boundary value problems are treated by the strong discontinuity approach which, depending on their state of stress, may develop strong discontinuities to be understood as jumps in the displacement field to model cracks and shear bands. Due to its resolution into many sub-elements, the single finite element of the main boundary value problem can therefore simulate a single propagating strong discontinuity arising in quasi-static problems as well as the propagation of multiple propagating strong discontinuities arising for simulations of crack branching in brittle materials undergoing dynamic failure. Whereas the advantages of the strong discontinuity approach in the form of its efficiency by statically condensing out the degrees of freedom related to the failure zone as well as its applicability to use standard displacement based, mixed, and enhanced formulations for the underlying finite element are kept, new challenges arise due to its proposed modification. Firstly, the solutions of the different sub-boundary value problems must be transferred to the main boundary value problem, which is achieved in this work based on concepts of domain decomposition. Secondly, since multiple strong discontinuities might propagate over the boundaries of the sub-boundary value problem, the applied boundary conditions must take into account the appearance of possible jumps in the displacement fields arising from the solution of the sub-boundary value problem itself. It is shown that for single propagating cracks arising in problems of quasi-static failure only minor differences are obtained through the proposed modification. For the simulation of solids undergoing dynamic fracture the modification allows though to predict the onset of crack branching without the need for any artificial crack branching criterion. A close agreement with experiments of the simulation results in terms of micro- and macro branching in addition to studying certain key parameters like critical velocity, dynamic stress intensity factor, and the strain energy release rate at branching is found. (C) 2012 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Engineering, Multidisciplinary

Interpreting stochastic agent-based models of cell death

Emma Lejeune, Christian Linder

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2020)

Article Engineering, Multidisciplinary

Swelling-Induced Interface Crease Instabilities at Hydrogel Bilayers

Berkin Dortdivanlioglu, Nil Ezgi Dincer Yilmaz, K. B. Goh, Xiaolin Zheng, Christian Linder

Summary: This study investigates the formation and transient growth of interface creases in bilayer hydrogels through experimental and computational approaches. It shows that both the equilibrium and transient characteristics of interface creases can be tuned by controlling the material properties. The computational results demonstrate that the formation of creases is energetically more favorable than wrinkle formation at the interface, in agreement with experimental observations.

JOURNAL OF ELASTICITY (2021)

Article Engineering, Electrical & Electronic

Strain-insensitive intrinsically stretchable transistors and circuits

Weichen Wang, Sihong Wang, Reza Rastak, Yuto Ochiai, Simiao Niu, Yuanwen Jiang, Prajwal Kammardi Arunachala, Yu Zheng, Jie Xu, Naoji Matsuhisa, Xuzhou Yan, Soon-Ki Kwon, Masashi Miyakawa, Zhitao Zhang, Rui Ning, Amir M. Foudeh, Youngjun Yun, Christian Linder, Jeffrey B. -H. Tok, Zhenan Bao

Summary: The study demonstrates an all-elastomer strain engineering approach to create strain-insensitive intrinsically stretchable transistor arrays, achieving stable performance by adjusting stiffness through patterned elastomer layers. This method is suitable for developing devices for monitoring physiological signals with intimate interfaces to the human body.

NATURE ELECTRONICS (2021)

Article Electrochemistry

A Modified Electrochemical Model to Account for Mechanical Effects Due to Lithium Intercalation and External Pressure

Xiaoxuan Zhang, Markus Klinsmann, Sergei Chumakov, Xiaobai Li, Sun Ung Kim, Michael Metzger, Munir M. Besli, Reinhardt Klein, Christian Linder, Jake Christensen

Summary: This study investigates the coupling between mechanical deformation and electrochemical response in battery cells, proposing a coupled electrochemomechanical model and verifying its effectiveness through simulations. The results demonstrate that mechanical effects significantly impact the electrochemical response of the cell at high charge/discharge rates.

JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2021)

Article Materials Science, Multidisciplinary

Energy based fracture initiation criterion for strain-crystallizing rubber-like materials with pre-existing cracks

Prajwal Kammardi Arunachala, Reza Rastak, Christian Linder

Summary: Fracture prediction is crucial for polymers like rubbers, with high extensibility and various applications. The study introduces a criterion based on internal bond energy and crystallization effects to predict fracture initiation in rubber-like materials with pre-existing cracks. The validation of the model's capability in predicting the impact of crystallization on fracture initiation adds to its significance in fracture modeling.

JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS (2021)

Article Mechanics

Volume dependent fracture energy and brittle to quasi-brittle transition in intermetallic alloys

Arun Raina

Summary: This study experimentally and numerically investigates the quasi-brittle and volume dependent behavior of titanium aluminide (TiAl) alloys, providing insights for new product development and application.

ENGINEERING FRACTURE MECHANICS (2022)

Article Materials Science, Multidisciplinary

Size-Dependent Fracture Characteristics of Intermetallic Alloys

Arun Raina

Summary: This study investigates the quasi-brittle behavior of intermetallic TiAl alloys experimentally and numerically. The results confirm the size effect in TiAl alloys, with larger volumes exhibiting lower fracture energy density. A novel size effect law based on physically motivated coefficients is proposed, providing a quantitative understanding of the size-dependent fracture energy and a predictive capability for intermetallic alloys.

EXPERIMENTAL MECHANICS (2022)

Article Engineering, Multidisciplinary

A thermodynamically consistent finite strain phase field approach to ductile fracture considering multi-axial stress states

Sina Abrari Vajari, Matthias Neuner, Prajwal Kammardi Arunachala, Andy Ziccarelli, Gregory Deierlein, Christian Linder

Summary: Phase field models for ductile fracture have been widely studied, but most existing methods only consider the effects of plastic deformation and neglect the multi-axial stress states in practical designs. In this work, a thermodynamically consistent phase field method coupled with finite strain plasticity is proposed to address this issue. The Stress-Weighted Ductile Fracture Model (SWDFM) is utilized to capture the coupling between plasticity and stress states. The excellent performance of the SWDFM in predicting ductile crack initiation motivates its incorporation into the phase field approach for predicting crack initiation and propagation.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2022)

Article Mechanics

A unified finite strain gradient-enhanced micropolar continuum approach for modeling quasi-brittle failure of cohesive-frictional materials

Matthias Neuner, Richard A. Regueiro, Christian Linder

Summary: In this work, a novel framework for modeling quasi-brittle crack propagation and shear band dominated failure of cohesive-frictional materials is proposed. The framework combines the gradient-enhanced continuum and the micropolar continuum, and is formulated based on the thermodynamically sound theory of hyperelasto-plasticity. The approach is assessed through constitutive models for particular materials and validated by numerical benchmark examples and experimental comparisons.

INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES (2022)

Article Chemistry, Physical

Understanding thermal and mechanical effects on lithium plating in lithium-ion batteries

Yitao Qiu, Xiaoxuan Zhang, Camille Usubelli, Daniel Mayer, Christian Linder, Jake Christensen

Summary: Lithium plating is a main concern for cell durability, and its driving forces can be influenced by thermal and mechanical loads. The effects of mechanical deformation and different temperatures on lithium plating in a lithium-ion battery are investigated using 1D and 3D models.

JOURNAL OF POWER SOURCES (2022)

Article Engineering, Mechanical

SenseNet: A Physics-Informed Deep Learning Model for Shape Sensing

Yitao Qiu, Prajwal Kammardi Arunachala, Christian Linder

Summary: Shape sensing is an emerging technique that reconstructs deformed shapes using data from a network of strain sensors. The development of SenseNet, a physics-informed deep learning model, allows for more accurate shape sensing without relying solely on training data. SenseNet incorporates knowledge of the physics of the problem and offers convenience for problems with complex geometries. It has been validated and proven to accurately reconstruct deformations in both two and three dimensions, utilizing surface strain data.

JOURNAL OF ENGINEERING MECHANICS (2023)

Article Thermodynamics

Analysis of hydrogen diffusion in the three stage electro-permeation test

Arun Raina, Vikram S. Deshpande, Emilio Martinez-Paneda, Norman A. Fleck

Summary: The presence of hydrogen traps within a metallic alloy affects the rate of hydrogen diffusion. The electro-permeation (EP) test measures the permeation of hydrogen through a thin metallic sheet by controlling the hydrogen concentration and recording the hydrogen flux. The three stage EP test provides additional insight by setting and varying the concentration of free lattice hydrogen.

CONTINUUM MECHANICS AND THERMODYNAMICS (2023)

Article Engineering, Multidisciplinary

Investigation of driving forces in a phase field approach to mixed mode fracture of concrete

Sina Abrari Vajari, Matthias Neuner, Prajwal Kammardi Arunachala, Christian Linder

Summary: Concrete, with its complex quasi-brittle cracking behavior, poses challenges in predicting failure mechanisms and patterns. Computational fracture modeling, particularly the phase field approach, has been proven to be effective. This study presents a thermodynamically consistent phase field approach for quasi-brittle fracture in concrete and investigates its ability to capture complex mixed mode cracking.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2023)

Correction Multidisciplinary Sciences

Microstructural origin of resistance-strain hysteresis in carbon nanotube thin film conductors (vol 115, pg 1986, 2018)

Lihua Jin, Alex Chortos, Feifei Lian, Eric Pop, Christian Linder, Zhenan Bao, Wei Cai

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2021)

Article Electrochemistry

An Electro-chemo-thermo-mechanical Coupled Three-dimensional Computational Framework for Lithium-ion Batteries

Xiaoxuan Zhang, Sergei Chumakov, Xiaobai Li, Markus Klinsmann, Sun Ung Kim, Christian Linder, Jake Christensen

JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2020)

Article Engineering, Multidisciplinary

Probabilistic physics-guided transfer learning for material property prediction in extrusion deposition additive manufacturing

Akshay J. Thomas, Mateusz Jaszczuk, Eduardo Barocio, Gourab Ghosh, Ilias Bilionis, R. Byron Pipes

Summary: We propose a physics-guided transfer learning approach to predict the thermal conductivity of additively manufactured short-fiber reinforced polymers using micro-structural characteristics obtained from tensile tests. A Bayesian framework is developed to transfer the thermal conductivity properties across different extrusion deposition additive manufacturing systems. The experimental results demonstrate the effectiveness and reliability of our method in accounting for epistemic and aleatory uncertainties.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2024)

Article Engineering, Multidisciplinary

Discovering a reaction-diffusion model for Alzheimer's disease by combining PINNs with symbolic regression

Zhen Zhang, Zongren Zou, Ellen Kuhl, George Em Karniadakis

Summary: In this study, deep learning and artificial intelligence were used to discover a mathematical model for the progression of Alzheimer's disease. By analyzing longitudinal tau positron emission tomography data, a reaction-diffusion type partial differential equation for tau protein misfolding and spreading was discovered. The results showed different misfolding models for Alzheimer's and healthy control groups, indicating faster misfolding in Alzheimer's group. The study provides a foundation for early diagnosis and treatment of Alzheimer's disease and other misfolding-protein based neurodegenerative disorders using image-based technologies.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2024)

Article Engineering, Multidisciplinary

A neural network-based enrichment of reproducing kernel approximation for modeling brittle fracture

Jonghyuk Baek, Jiun-Shyan Chen

Summary: This paper introduces an improved neural network-enhanced reproducing kernel particle method for modeling the localization of brittle fractures. By adding a neural network approximation to the background reproducing kernel approximation, the method allows for the automatic location and insertion of discontinuities in the function space, enhancing the modeling effectiveness. The proposed method uses an energy-based loss function for optimization and regularizes the approximation results through constraints on the spatial gradient of the parametric coordinates, ensuring convergence.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2024)

Article Engineering, Multidisciplinary

Stabilized mixed material point method for incompressible fluid flow

Bodhinanda Chandra, Ryota Hashimoto, Shinnosuke Matsumi, Ken Kamrin, Kenichi Soga

Summary: This paper proposes new and robust stabilization strategies for accurately modeling incompressible fluid flow problems in the material point method (MPM). The proposed approach adopts a monolithic displacement-pressure formulation and integrates two stabilization strategies to ensure stability. The effectiveness of the proposed method is validated through benchmark cases and real-world scenarios involving violent free-surface fluid motion.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2024)

Article Engineering, Multidisciplinary

A unified analytical expression of the tangent stiffness matrix of holonomic constraints

Chao Peng, Alessandro Tasora, Dario Fusai, Dario Mangoni

Summary: This article discusses the importance of the tangent stiffness matrix of constraints in multibody systems and provides a general formulation based on quaternion parametrization. The article also presents the analytical expression of the tangent stiffness matrix derived through linearization. Examples demonstrate the positive effect of this additional stiffness term on static and eigenvalue analyses.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2024)

Article Engineering, Multidisciplinary

On the detection of nonlinear normal mode-related isolated branches of periodic solutions for high-dimensional nonlinear mechanical systems with frictionless contact interfaces

Thibaut Vadcard, Fabrice Thouverez, Alain Batailly

Summary: This contribution presents a methodology for detecting isolated branches of periodic solutions to nonlinear mechanical equations. The method combines harmonic balance method-based solving procedure with the Melnikov energy principle. It is able to predict the location of isolated branches of solutions near families of autonomous periodic solutions. The relevance and accuracy of this methodology are demonstrated through academic and industrial applications.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2024)

Article Engineering, Multidisciplinary

Machine learning powered sketch aided design via topology optimization

Weisheng Zhang, Yue Wang, Sung-Kie Youn, Xu Guo

Summary: This study proposes a sketch-guided topology optimization approach based on machine learning, which incorporates computer sketches as constraint functions to improve the efficiency of computer-aided structural design models and meet the design intention and requirements of designers.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2024)

Article Engineering, Multidisciplinary

Reduced order isogeometric boundary element methods for CAD-integrated shape optimization in electromagnetic scattering

Leilei Chen, Zhongwang Wang, Haojie Lian, Yujing Ma, Zhuxuan Meng, Pei Li, Chensen Ding, Stephane P. A. Bordas

Summary: This paper presents a model order reduction method for electromagnetic boundary element analysis and extends it to computer-aided design integrated shape optimization of multi-frequency electromagnetic scattering problems. The proposed method utilizes a series expansion technique and the second-order Arnoldi procedure to reduce the order of original systems. It also employs the isogeometric boundary element method to ensure geometric exactness and avoid re-meshing during shape optimization. The Grey Wolf Optimization-Artificial Neural Network is used as a surrogate model for shape optimization, with radar cross section as the objective function.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2024)

Article Engineering, Multidisciplinary

Volume conservation issue within SPH models for long-time simulations of violent free-surface flows

C. Pilloton, P. N. Sun, X. Zhang, A. Colagrossi

Summary: This paper investigates the smoothed particle hydrodynamics (SPH) simulations of violent sloshing flows and discusses the impact of volume conservation errors on the simulation results. Different techniques are used to directly measure the particles' volumes and stabilization terms are introduced to control the errors. Experimental comparisons demonstrate the effectiveness of the numerical techniques.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2024)

Article Engineering, Multidisciplinary

Convolution finite element based digital image correlation for and strain measurements

Ye Lu, Weidong Zhu

Summary: This work presents a novel global digital image correlation (DIC) method based on a convolution finite element (C-FE) approximation. The C-FE based DIC provides highly smooth and accurate displacement and strain results with the same element size as the usual finite element (FE) based DIC. The proposed method's formulation and implementation, as well as the controlling parameters, have been discussed in detail. The C-FE method outperformed the FE method in all tested examples, demonstrating its potential for highly smooth, accurate, and robust DIC analysis.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2024)

Article Engineering, Multidisciplinary

Optimization based on performance of lungs in body: Lungs performance-based optimization (LPO)

Mojtaba Ghasemi, Mohsen Zare, Amir Zahedi, Pavel Trojovsky, Laith Abualigah, Eva Trojovska

Summary: This paper introduces Lung performance-based optimization (LPO), a novel algorithm that draws inspiration from the efficient oxygen exchange in the lungs. Through experiments and comparisons with contemporary algorithms, LPO demonstrates its effectiveness in solving complex optimization problems and shows potential for a wide range of applications.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2024)

Article Engineering, Multidisciplinary

Integrated optimization of components' layout and structural topology with considering the interface stress constraint

Jingyu Hu, Yang Liu, Huixin Huang, Shutian Liu

Summary: In this study, a new topology optimization method is proposed for structures with embedded components, considering the tension/compression asymmetric interface stress constraint. The method optimizes the topology of the host structure and the layout of embedded components simultaneously, and a new interpolation model is developed to determine interface layers between the host structure and embedded components.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2024)

Article Engineering, Multidisciplinary

The anisotropic graph neural network model with multiscale and nonlinear characteristic for turbulence simulation

Qiang Liu, Wei Zhu, Xiyu Jia, Feng Ma, Jun Wen, Yixiong Wu, Kuangqi Chen, Zhenhai Zhang, Shuang Wang

Summary: In this study, a multiscale and nonlinear turbulence characteristic extraction model using a graph neural network was designed. This model can directly compute turbulence data without resorting to simplified formulas. Experimental results demonstrate that the model has high computational performance in turbulence calculation.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2024)

Article Engineering, Multidisciplinary

Multi-temporal decomposition for elastoplastic ratcheting solids

Jacinto Ulloa, Geert Degrande, Jose E. Andrade, Stijn Francois

Summary: This paper presents a multi-temporal formulation for simulating elastoplastic solids under cyclic loading. The proper generalized decomposition (PGD) is leveraged to decompose the displacements into multiple time scales, separating the spatial and intra-cyclic dependence from the inter-cyclic variation, thereby reducing computational burden.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2024)

Article Engineering, Multidisciplinary

Automated translation and accelerated solving of differential equations on multiple GPU platforms

Utkarsh Utkarsh, Valentin Churavy, Yingbo Ma, Tim Besard, Prakitr Srisuma, Tim Gymnich, Adam R. Gerlach, Alan Edelman, George Barbastathis, Richard D. Braatz, Christopher Rackauckas

Summary: This article presents a high-performance vendor-agnostic method for massively parallel solving of ordinary and stochastic differential equations on GPUs. The method integrates with a popular differential equation solver library and achieves state-of-the-art performance compared to hand-optimized kernels.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2024)