纤维增强树脂基复合材料筋/拉索数值模拟研究综述

朱江涛; 赵杏

doi:10.13801/j.cnki.fhclxb.20231212.002

纤维增强树脂基复合材料筋/拉索数值模拟研究综述

doi: 10.13801/j.cnki.fhclxb.20231212.002

朱江涛,
赵杏^,

南京航空航天大学　民航学院，南京 210016

基金项目: 国家自然科学基金(52008209)

详细信息

通讯作者:
赵杏，博士，讲师，硕士生导师，研究方向为土木及交通运输工程结构材料和设计一体化、监测检测维护和寿命评估、FRP多场耦合多尺度精细化静力及疲劳寿命预测理论及有限元分析方法　E-mail: xingzhao@nuaa.edu.cn

中图分类号: TB333
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- 被引次数: 0
出版历程
- 收稿日期: 2023-09-27
- 修回日期: 2023-12-06
- 录用日期: 2023-12-07
- 网络出版日期: 2023-12-13
- 刊出日期: 2024-04-15

Review of numerical simulation research on fiber reinforced composite bar/cable

ZHU Jiangtao,
ZHAO Xing^,

School of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

Funds: National Natural Science Foundation of China (52008209)

摘要

摘要: 纤维增强树脂基复合材料(FRP)是由纤维和树脂基体组合而成的一种材料，在各种领域中拥有广泛的应用。利用数值模拟方法可以更加简单、精确地预测FRP筋/拉索性能，从而加快设计效率、减少试验工作量，因此大量学者针对FRP筋/拉索进行了数值模拟研究。本文主要介绍了单向纤维增强聚合物复合材料的模拟控制因素和需求，在微观、细观和宏观尺度下研究FRP的理论模型和分析方法，提出了在不同尺度下对FRP筋/拉索进行数值模拟的不足之处及数值模拟在微观、细观和宏观层面中的应用。重点论述了不同尺度数值模拟方法在FRP筋/拉索中的应用和最新多尺度数值研究进展及FRP筋/拉索在锚固区的数值模拟方法及现状，最后简要阐述了FRP筋/拉索数值模拟在未来可能的研究发展方向。为建立精细化FRP筋/拉索损伤和性能预测模型发展提供参考。
- FRP结构 /
- 数值模拟 /
- 多尺度分析 /
- 有限元法 /
- 耐久性
Abstract: Fiber reinforced resin matrix composite (FRP) is a material composed of fibers and resin matrix, which has a wide range of applications in various fields. The use of numerical simulation methods can more easily and accurately predict the performance of FRP bars/cables, thereby accelerating design efficiency and reducing experimental workload. Therefore, a large number of scholars have conducted numerical simulation research on FRP bars/cables. This article mainly introduces the simulation control factors and requirements of unidirectional fiber reinforced polymer composites, studies the theoretical models and analysis methods of FRP at micro, micro, and macro scales, proposes the shortcomings of numerical simulation of FRP bars/cables at different scales, and the application of numerical simulation at micro, micro, and macro levels. The focus is on the application of different scale numerical simulation methods in FRP bars/cables, as well as the latest progress in multi-scale numerical research, as well as the numerical simulation methods and current status of FRP bars/cables in the anchorage zone. Finally, a brief explanation is given of the possible research and development directions of FRP bar/cable numerical simulation in the future. To provide reference for the development of refined FRP reinforcement/cable damage and performance prediction models.
- FRP structure /
- numerical simulation /
- multi scale analysis /
- finite element method /
- durability

HTML全文

图 1 纤维增强树脂基复合材料(FRP)拉索锚固区应力分布图

Figure 1. Stress distribution diagram of fiber reinforced resin matrix composite (FRP) cable anchorage zone

σ_x, σ_y—Normal stress in the x, y directions; τ_xy—Shear stress

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图 2 3种尺度层面的递进关系

Figure 2. Progressive relationships at three scale levels

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图 3 微观尺度下的分子模型

Figure 3. Molecular model at micro scale

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图 4 轴向荷载作用下连续纤维增强复合材料常见失效模式

Figure 4. Common failure modes of continuous fiber reinforced composite materials under axial load

T—Tension force; P—Compression force

下载: 全尺寸图片幻灯片

图 5 复合材料单轴拉伸数值模拟模型

Figure 5. Numerical simulation model for uniaxial tension

SDV9—Abaqus subroutine state variables

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图 6 多尺度层面间的联系

Figure 6. Connection between multi-scale levels

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表 1 不同尺度方法的适用性与局限性

Table 1. Applicability and limitations of different scale methods

Different scale methods	Applicability	Limitation
Microscopic methods	(1) Consider the microstructure, shape, position, and material properties of fibers and matrix; (2) It can reflect the fine structure of composite materials in detail and truthfully; (3) Can more clearly and intuitively demonstrate the transformation characteristics of composite material molecular models	(1) Difficulty in accurately fitting with the experimental process, unable to obtain accurate experimental data for argumentation; (2) Too many factors to consider, complex parameters such as modeling node elements, and complex calculation process
Mesoscopic methods	(1) Reduced the number of nodes and units, reducing the difficulty of modeling; (2) Compared with macroscopic methods, it has added the function of strain, stress, and failure analysis for each layer and interlayer of composite materials; (3) Can establish the relationship between the strength of composite materials and the properties, content, microstructure and other parameters of component materials	(1) Expanded the research scale, reduced workload, and reduced accuracy; (2) Due to the different environments and failure modes of different structures, the research process may be slightly cumbersome
Macroscopic methods	Starting from experiments and analyzing the mechanical properties of composite materials, the feasibility of research is higher	(1) There will be many ideal conditions set during the experimental process, and there may be errors in the experimental data; (2) Unable to consider issues such as strain, stress, and failure analysis between composite layers

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