Correlation of Small Strain Stiffness and Strength of Hot Mix Asphalt

作者
Terhi Pellinen,Shiyun Xiao
出处
期刊:10TH INTERNATIONAL CONFERENCE ON ASPHALT PAVEMENTS - AUGUST 12 TO 17, 2006, QUEBEC CITY, CANADA
链接
摘要

The objective of the research was to investigate if stiffness and strength are correlated in asphalt mixtures and which stiffness/strength parameters result in similar mechanical responses. The research was limited to dynamic modulus |E*| and Simple Shear Tester (SST) shear modulus |G*| testing to obtain small strain stiffness, and strength was measured using the triaxial shear strength and indirect tensile strength tests. Generally, a good correlation of stiffness and strength properties was obtained for the dense-graded mixtures when the test specimens were fabricated using asphalt-plant-produced mixtures and were compacted with the gyratory compactor. However, for young and aged pavement cores, the correlation between stiffness and strength was poor to non-existent. Contrary to the dense-graded mixtures, some of the stiffer Stone Mastic Asphalt (SMA) mixtures had lower strength than the softer mixtures. The research suggests that due to the different loading and straining patterns caused by the test set up, the compressive modulus |E*| and SST shear modulus |G*| measure different material responses to mechanical loading.

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
郑航宇发布了新的文献求助10
1秒前
锌镍完成签到,获得积分10
1秒前
jy应助笑个采纳,获得10
2秒前
orixero应助白白采纳,获得10
2秒前
单纯蛋挞完成签到,获得积分10
3秒前
任性的茉莉完成签到 ,获得积分10
3秒前
5秒前
充电宝应助sunwx采纳,获得10
5秒前
7秒前
欣喜烙发布了新的文献求助10
8秒前
yimron完成签到,获得积分10
8秒前
8秒前
9秒前
核桃应助黑默丁格采纳,获得30
9秒前
10秒前
Jasper应助记号记号采纳,获得10
10秒前
七里完成签到 ,获得积分10
10秒前
搜集达人应助xdc采纳,获得10
10秒前
11秒前
锌镍发布了新的文献求助30
11秒前
lasfjas完成签到,获得积分10
12秒前
传奇3应助稳重的书双采纳,获得10
14秒前
李小晴天发布了新的文献求助10
14秒前
lili应助White Night采纳,获得30
14秒前
白白发布了新的文献求助10
15秒前
Qui3T发布了新的文献求助10
15秒前
dxz完成签到,获得积分10
15秒前
15秒前
15秒前
15秒前
Akim应助郑航宇采纳,获得10
15秒前
18秒前
沙琪玛完成签到,获得积分10
18秒前
18秒前
gao发布了新的文献求助100
19秒前
大头发布了新的文献求助10
22秒前
liaomr发布了新的文献求助10
22秒前
852应助橘子味汽水采纳,获得10
22秒前
记号记号完成签到,获得积分20
24秒前
24秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 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 7584060
求助须知:如何正确求助?哪些是违规求助? 9162815
关于积分的说明 19608120
捐赠科研通 7165950
什么是DOI,文献DOI怎么找? 3266349
关于科研通互助平台的介绍 2431328
邀请新用户注册赠送积分活动 2257917