已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Review of aging mechanisms, mechanical properties, and prediction models of fiber‐reinforced composites in natural environments

耐久性 材料科学 加速老化 复合材料 极限抗拉强度 天然纤维 纤维增强塑料 结构工程 纤维 工程类
作者
Guofeng Qin,Qiuhan Fan,Peiwen Mi,Ming Li,Wenlong Mu,Jingxin Na
出处
期刊:Polymer Composites [Wiley]
卷期号:45 (16): 14448-14474 被引量:19
标识
DOI:10.1002/pc.28799
摘要

Abstract Fiber‐reinforced composites are widely used in civil engineering, aerospace, automotive, and medical sectors. However, these composites undergo aging due to factors such as temperature, humidity, load, and so on, during their usage. As a result, their performance deteriorates, and predicting their durability under real service conditions is a significant challenge. In order to better understand the durability of fiber‐reinforced composites, this article summarizes their microscopic aging mechanism under natural aging conditions and analyzes the changing rules of tensile, bending, and shear properties of composites under seven typical climate types, including tropical desert climate, temperate continental climate, temperate oceanic climate, Mediterranean climate, seasonal climate, tropical rainforest climate, and seawater immersion. This article reviews various durability prediction models, such as the Arrhenius model, prediction models based on residual modulus of elasticity and residual strength, and median strength regression analysis. To enhance the accuracy of aging life prediction during the natural aging process of composites, it is important to consider the influence of loads under real service conditions, incorporate different climatic types, utilize comprehensive mechanical property indices, establish an equivalent conversion relationship between natural aging and accelerated aging, and create a database with unified test standards. Highlights The aging mechanisms of FRP after exposure in natural aging environments are discussed. The tensile, bending, and shear properties of FRP after exposure under seven climate types are discussed. The predictive models are proposed for the FRP used in natural aging. The future research needs are proposed for the FRP used in natural aging.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
2秒前
3秒前
4秒前
4秒前
顾矜应助科研通管家采纳,获得10
5秒前
充电宝应助科研通管家采纳,获得10
5秒前
上官若男应助科研通管家采纳,获得10
5秒前
烟花应助科研通管家采纳,获得10
5秒前
现代纸鹤关注了科研通微信公众号
6秒前
顺利的飞荷完成签到,获得积分0
7秒前
7秒前
今后应助欣欣采纳,获得10
7秒前
漂亮夜安发布了新的文献求助10
8秒前
8秒前
伶俐小懒猪完成签到,获得积分10
9秒前
eee7完成签到,获得积分10
10秒前
柴子发布了新的文献求助10
11秒前
zy发布了新的文献求助10
13秒前
华仔应助小白采纳,获得30
13秒前
mumumuzzz发布了新的文献求助10
14秒前
所所应助汪建满采纳,获得10
14秒前
梦梦完成签到,获得积分10
15秒前
舒书完成签到,获得积分10
16秒前
柴子完成签到,获得积分10
16秒前
20秒前
Lucas应助温柔寒烟采纳,获得10
22秒前
大个应助小猪采纳,获得30
23秒前
23秒前
25秒前
山茶花开完成签到,获得积分10
25秒前
25秒前
27秒前
27秒前
27秒前
28秒前
秒文献是一种天赋完成签到 ,获得积分10
28秒前
科研通AI6.2应助OrthoDW采纳,获得10
29秒前
忧郁忆枫发布了新的文献求助10
30秒前
30秒前
31秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Governing Growth: Us Industrial Policy from Hamilton to Trump 500
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7625787
求助须知:如何正确求助?哪些是违规求助? 9200759
关于积分的说明 19726942
捐赠科研通 7196759
什么是DOI,文献DOI怎么找? 3273745
关于科研通互助平台的介绍 2435936
邀请新用户注册赠送积分活动 2269673