Viscoelastic mechanical performance of dense polyurethane mixtures based on dynamic and static modulus testing and creep testing

材料科学 复合材料 聚氨酯 蠕动 粘弹性 动态模量 沥青 模数 动态力学分析 变形(气象学) 弹性模量 聚合物
作者
Qian Zhang,Shankun Wang,Rongpei Lv,Jiaqi Wu,Hongxing Qi
出处
期刊:Construction and Building Materials [Elsevier]
卷期号:320: 126207-126207 被引量:14
标识
DOI:10.1016/j.conbuildmat.2021.126207
摘要

Asphalt mixtures are pavement materials that are susceptible to permanent deformation due to the weakening of asphalt at high temperatures. Aimed at finding a new binder with less temperature sensitivity, this paper presents two types of dense polyurethane mixtures, Stone Matrix polyurethane (SMPU-13) and Superpave polyurethane mix (SUPU-20), in which the polyurethane binder was used to replace asphalt binder. The dynamic modulus, phase angle, static modulus, and creep properties of the two polyurethane mixtures and Stone Matrix Asphalt (SMA-13) were compared to display whether the polyurethane mixtures possess better viscoelasticity. It is found that the residual dynamic moduli of the polyurethane mixtures are greater than 8000 MPa and their phase angles are not higher than 6° at 60 °C, while the dynamic modulus of SMA-13 has declined to 189 MPa at 50 °C with its phase angle being about 30°. The dynamic modulus test results show that the two dense polyurethane mixtures are viscoelastic materials dominated by elastic characteristics within the normal working temperature and loading frequency of the pavement, and their mechanical properties are more stable than those of the asphalt mixture. There is a linear correlation between the dynamic modulus and the static modulus of the polyurethane mixtures when the temperature is higher than 20 °C. And the two moduli can be transformed into each other through an established formula. The creep curves of the two polyurethane mixtures exhibit only the first two stages of creep deformation, with the third stage not appearing within a comparatively long loading time, indicating better resistance to permanent deformation.

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
刚刚
1秒前
文静身边充满小确幸完成签到 ,获得积分10
1秒前
阿呆发布了新的文献求助10
1秒前
1秒前
归尘发布了新的文献求助10
2秒前
NexusExplorer应助YYL采纳,获得10
2秒前
2秒前
小峰发布了新的文献求助10
3秒前
dj发布了新的文献求助10
3秒前
3秒前
4秒前
4秒前
4秒前
莯瑶发布了新的文献求助30
4秒前
4秒前
无心的蛋挞完成签到,获得积分20
4秒前
爆米花应助殷超采纳,获得10
4秒前
Zana完成签到 ,获得积分10
5秒前
6秒前
shuya完成签到,获得积分10
6秒前
6秒前
kelsey完成签到 ,获得积分10
6秒前
6秒前
Weikai完成签到,获得积分10
7秒前
999999发布了新的文献求助10
7秒前
尚欣雨发布了新的文献求助10
8秒前
一个西瓜发布了新的文献求助30
8秒前
科研民工完成签到,获得积分10
9秒前
9秒前
9秒前
刘子豪发布了新的文献求助10
10秒前
10秒前
zhousiyu发布了新的文献求助100
10秒前
殊荣发布了新的文献求助10
10秒前
Windsyang发布了新的文献求助10
11秒前
chon__发布了新的文献求助10
11秒前
12秒前
搜集达人应助lc采纳,获得10
12秒前
12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
Polymorphism and polytypism in crystals 1000
Relation between chemical structure and local anesthetic action: tertiary alkylamine derivatives of diphenylhydantoin 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Der Gleislage auf der Spur 500
Principles of town planning : translating concepts to applications 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6076376
求助须知:如何正确求助?哪些是违规求助? 7907492
关于积分的说明 16351561
捐赠科研通 5214277
什么是DOI,文献DOI怎么找? 2788329
邀请新用户注册赠送积分活动 1771062
关于科研通互助平台的介绍 1648459