A combined analytical formulation and genetic algorithm to analyze the nonlinear damage responses of continuous fiber toughened composites

被引:0
|
作者
Haemin Jeon
Jaesang Yu
Hunsu Lee
G. M. Kim
Jae Woo Kim
Yong Chae Jung
Cheol-Min Yang
B. J. Yang
机构
[1] Hanbat National University,Department of Civil and Environmental Engineering
[2] Korea Institute of Science and Technology (KIST),Multifunctional Structural Composite Research Center, Institute of Advanced Composite Materials
[3] Korea Advanced Institute of Science and Technology (KAIST),Department of Civil and Environmental Engineering
来源
Computational Mechanics | 2017年 / 60卷
关键词
Fiber-reinforced polymer composites; Micromechanics; Genetic algorithm; Damage modeling; Failure mechanism;
D O I
暂无
中图分类号
学科分类号
摘要
Continuous fiber-reinforced composites are important materials that have the highest commercialized potential in the upcoming future among existing advanced materials. Despite their wide use and value, their theoretical mechanisms have not been fully established due to the complexity of the compositions and their unrevealed failure mechanisms. This study proposes an effective three-dimensional damage modeling of a fibrous composite by combining analytical micromechanics and evolutionary computation. The interface characteristics, debonding damage, and micro-cracks are considered to be the most influential factors on the toughness and failure behaviors of composites, and a constitutive equation considering these factors was explicitly derived in accordance with the micromechanics-based ensemble volume averaged method. The optimal set of various model parameters in the analytical model were found using modified evolutionary computation that considers human-induced error. The effectiveness of the proposed formulation was validated by comparing a series of numerical simulations with experimental data from available studies.
引用
收藏
页码:393 / 408
页数:15
相关论文
共 5 条
  • [1] A combined analytical formulation and genetic algorithm to analyze the nonlinear damage responses of continuous fiber toughened composites
    Jeon, Haemin
    Yu, Jaesang
    Lee, Hunsu
    Kim, G. M.
    Kim, Jae Woo
    Jung, Yong Chae
    Yang, Cheol-Min
    Yang, B. J.
    COMPUTATIONAL MECHANICS, 2017, 60 (03) : 393 - 408
  • [2] The Combined Methodology of Backpropagation Neural Network with Genetic Algorithm to Optimize Delamination Factor and Surface Roughness in End-Milling of Carbon Fiber Reinforced Polymer Composites
    Effendi, Mohammad Khoirul
    Soepangkat, Bobby Oedy Pramoedyo
    Pramujati, Bambang
    Norcahyo, Rachmadi
    Nurullah, Fajar Perdana
    INNOVATIVE SCIENCE AND TECHNOLOGY IN MECHANICAL ENGINEERING FOR INDUSTRY 4.0, 2019, 2187
  • [3] Prediction by a Genetic Algorithm of the Fiber–Matrix Interface Damage for Composite Material. Part 1. Study of Shear Damage in Two Composites T300/914 and PEEK/APC2
    A. Mokaddem
    M. Alami
    B. Doumi
    A. Boutaous
    Strength of Materials, 2014, 46 : 543 - 547
  • [4] Prediction by a Genetic Algorithm of the Fiber-Matrix Interface Damage for Composite Material. Part 1. Study of Shear Damage in Two Composites T300/914 and PEEK/APC2
    Mokaddem, A.
    Alami, M.
    Doumi, B.
    Boutaous, A.
    STRENGTH OF MATERIALS, 2014, 46 (04) : 543 - 547
  • [5] Identification by means of a genetic algorithm of nonlinear damping and stiffness of continuous structures subjected to large-amplitude vibrations. Part I: single-degree-of-freedom responses
    Le Guisquet, Stanislas
    Amabili, Marco
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2021, 153