Shrinkage Characteristics of Cement and Fly-ash Stabilized Waste Asphalt Mixture

ZHANG Da-yong; YANG Lin; LIU Guang-huan

Chinese

您当前的位置：

首页 >

文章列表页 >

Shrinkage Characteristics of Cement and Fly-ash Stabilized Waste Asphalt Mixture

更新时间：2026-07-10

- Shrinkage Characteristics of Cement and Fly-ash Stabilized Waste Asphalt Mixture
- Vol. 16, Issue 3, Pages: 121-126(2011)
- 作者机构：
  
  1. 东北林业大学工程勘察设计院
  2. 东北林业大学土木工程学院
  3. 郑州市市政工程勘测设计研究院
- 作者简介：
- 基金信息：
- DOI：
  CLC： U414
- Published：2011
- 稿件说明：
移动端阅览
ZHANG Da-yong, YANG Lin, LIU Guang-huan. Shrinkage Characteristics of Cement and Fly-ash Stabilized Waste Asphalt Mixture[J]. 2011, 16(3): 121-126.
DOI：

ZHANG Da-yong, YANG Lin, LIU Guang-huan. Shrinkage Characteristics of Cement and Fly-ash Stabilized Waste Asphalt Mixture[J]. 2011, 16(3): 121-126. DOI：

摘要

为了合理利用废旧沥青混合料作为路面基层

研究其收缩特性

以水泥、粉煤灰稳定废旧沥青混合料为研究对象

通过正交试验设计和干燥收缩试验、温度收缩试验等方法

对其干燥收缩特性和温度收缩特性进行了试验研究.结果表明:干缩试验中

混合料的干缩应变与干缩系数均与暴露时间、失水率的增多成正比

水泥粉煤灰的比值在1∶3时混合料干缩应变与干缩系数最小.温缩试验中

混合料的温缩应变与温缩系数随着稳定剂剂量的增加而线性增长

并随着温度的降低而增大.同时采用正交试验设计方法中的极差分析和方差分析来确定因素水平变化

评价了影响混合料收缩特性4个因素的大小关系与显著性

分析表明:其收缩性能影响因素的排序为废旧沥青混合料含量1~3号粗集料粉煤灰含量水泥含量.

Abstract

To use the waste asphalt mixture as road base rationally

the shrinkage characteristics of cement and fly-ash stabilized waste asphalt mixture is studied.Through the orthogonal experimental design and the drying shrinkage test

shrinkage test methods

the characteristics of drying shrinkage and temperature shrinkage are studied.The result shows that

in dry shrinkage test

the drying strain and coefficient increase with exposure time and water loss rate proportionally.When the ratio of cement to fly-ash is 1∶ 3

...

关键词

Keywords

references

Views

1455

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Application of 3D Laser Measurement Technology in Gas Turbine Tip Clearance Measurement

Health Prediction of Electric Meter Calibration Lines by Combining Memory Network and Attention

The Effect of Temperature on the Impact Performance of the Down Blade in Rapid Rescue Scissor

Research on Insulator Defect Recognition in Substations

Context-Aware Feature Augmentation Method for Person Re-Identification

Related Author

No data

Related Institution

No data

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰