On the experimental determination and prediction of damage evolution in composites via cyclic testing

复合材料 材料科学 结构工程 工程类
作者
Gabriel Sales Candido Souza,Behzad V. Farahani,Rui Miranda Guedes,Eduardo Gerhardt,Sandro Campos Amico,Volnei Tita
出处
期刊:Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications [SAGE Publishing]
卷期号:239 (9): 1744-1762 被引量:1
标识
DOI:10.1177/14644207241242739
摘要

This study introduces a novel approach to obtaining and predicting damage evolution laws using quasi-static cyclic testing within the framework of continuum damage mechanics. To achieve this, a comprehensive set of characterization and parameter identification tests was performed. Carbon-epoxy specimens were manufactured using the filament-winding technique, and these laminates were tested using a universal testing machine. Digital image correlation was employed in all experiments to capture strain fields, and an alternative method utilizing the combined loading compression device is presented to obtain mechanical properties. Once the material was characterized, cyclic tests were conducted, including 20 , 45 , and 90 tensile tests, and shear v-notch tests. These aim to determine damage evolution laws for both conditions, pure and coupled stress states. From these tests, values for damage onset and threshold were obtained and used to define four new parameters. These parameters permit the estimation of degradation relationships for any arbitrary orientation without requiring additional tests. This approach was tested as the proof-of-concept within the positive range of transverse tension and in-plane shear stress domain. The obtained results are promising, justifying its extension to other failure mechanisms. While acknowledging its limitations, this new approach holds potential for implementation in the analysis of progressive failure in fiber-reinforced composite materials, possibly in conjunction with established failure criteria and computational tools, mainly in the finite element method domain.
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
穿山的百足公主完成签到 ,获得积分10
5秒前
呵呵哒完成签到,获得积分10
7秒前
guoyufan完成签到,获得积分10
7秒前
张浩林完成签到,获得积分10
8秒前
美满惜寒完成签到,获得积分10
8秒前
qq完成签到,获得积分10
8秒前
朝夕之晖完成签到,获得积分10
8秒前
Temperature完成签到,获得积分10
9秒前
Syan完成签到,获得积分10
9秒前
runtang完成签到,获得积分10
9秒前
cityhunter7777完成签到,获得积分10
10秒前
675完成签到,获得积分10
10秒前
CY完成签到,获得积分10
10秒前
ElioHuang完成签到,获得积分0
10秒前
喜喜完成签到,获得积分10
11秒前
CGBIO完成签到,获得积分10
11秒前
真的OK完成签到,获得积分0
11秒前
BMG完成签到,获得积分10
11秒前
11秒前
阳光完成签到,获得积分10
12秒前
yzz完成签到,获得积分10
12秒前
啪嗒大白球完成签到,获得积分10
12秒前
洋芋饭饭完成签到,获得积分10
13秒前
ys1008完成签到,获得积分10
13秒前
王jyk完成签到,获得积分10
13秒前
jindou完成签到,获得积分10
14秒前
Blessll完成签到,获得积分10
15秒前
芋圆爸爸完成签到,获得积分10
18秒前
cjl完成签到 ,获得积分10
19秒前
乐观猕猴桃完成签到 ,获得积分10
20秒前
zero桥完成签到,获得积分10
21秒前
长安的荔枝完成签到 ,获得积分10
22秒前
鸟兽兽应助啦啦啦啦啦采纳,获得10
28秒前
点点完成签到 ,获得积分10
29秒前
英勇海完成签到 ,获得积分10
29秒前
彭于晏应助张泽宇采纳,获得30
30秒前
司徒无剑完成签到,获得积分10
31秒前
ttfakira完成签到,获得积分10
35秒前
王kk完成签到 ,获得积分10
36秒前
weihe完成签到,获得积分10
40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
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
Quality by Design - An Indispensable Approach to Accelerate Biopharmaceutical Product Development 800
Signals, Systems, and Signal Processing 610
Research Methods for Applied Linguistics 500
A Social and Cultural History of the Hellenistic World 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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6394741
求助须知:如何正确求助?哪些是违规求助? 8209836
关于积分的说明 17383477
捐赠科研通 5448056
什么是DOI,文献DOI怎么找? 2880080
邀请新用户注册赠送积分活动 1856560
关于科研通互助平台的介绍 1699245