The Synergistic Effect of Polyphosphates Acid and Different Compounds of Waste Cooking Oil on Conventional and Rheological Properties of Modified Bitumen

软化点 沥青 流变学 材料科学 车辙 渗透(战争) 复合材料 工程类 运筹学
作者
Wentong Wang,Jin Li,Di Wang,Pengfei Liu,Xinzhou Li
出处
期刊:Materials [Multidisciplinary Digital Publishing Institute]
卷期号:15 (23): 8681-8681 被引量:8
标识
DOI:10.3390/ma15238681
摘要

In order to conserve non-renewable natural resources, waste cooking oil (WCO) in bitumen can help lower CO2 emissions and advance the environmental economy. In this study, three different components of WCO were isolated and then, together with polyphosphoric acid (PPA), used separately as bitumen modifiers to determine the suitability of various substances in WCO with PPA. Conventional tests, including penetration, softening point temperature, and ductility, and the dynamic shear rheology (DSR) test, including temperature sweep and frequency sweep, were used to evaluate the influence of WCO/PPA on the traditional performance and rheological properties at high and low temperatures. The results indicate that WCO reduced the ductility and penetration value, when the use of PPA increased the softening point temperature and high-temperature performance. Compared to reference bitumen, the rutting factor and viscous activation energy (Ea) of bitumen modified with 4% WCO and 2% PPA has the most significant increase by 18.6% and 31.5, respectively. All components of WCO have a significant impact on improving the low-temperature performance of PPA-modified bitumen. The performance of the composite-modified bitumen at low temperatures is negatively affected by some waxy compounds in WCO, such as methyl palmitate, which tends to undergo a solid-liquid phase change as the temperature decreases. In conclusion, the inclusion of WCO/PPA in bitumen offers a fresh approach to developing sustainable pavement materials.
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
CipherSage应助马小宝采纳,获得10
1秒前
李李应助无语的安卉采纳,获得10
2秒前
檀俊杰完成签到,获得积分10
2秒前
Owen应助香菜张采纳,获得10
2秒前
11发布了新的文献求助10
3秒前
唠叨的含芙完成签到,获得积分10
4秒前
4秒前
hj完成签到 ,获得积分10
4秒前
酷波er应助heitao采纳,获得10
5秒前
5秒前
小二郎应助练习者采纳,获得10
6秒前
所所应助开心砖头采纳,获得10
7秒前
左左发布了新的文献求助10
7秒前
小坤不慌发布了新的文献求助10
7秒前
7秒前
7秒前
ruohanyu发布了新的文献求助10
8秒前
ichigo完成签到,获得积分10
9秒前
蘅芷清芬完成签到,获得积分20
9秒前
hah发布了新的文献求助10
9秒前
10秒前
silsotiscolor发布了新的文献求助10
10秒前
10秒前
王小树发布了新的文献求助10
10秒前
11秒前
我是老大应助晨晨学长采纳,获得10
11秒前
木子关注了科研通微信公众号
13秒前
mimimi完成签到,获得积分10
13秒前
核桃应助尊敬的灰狼采纳,获得30
14秒前
小马甲应助limin采纳,获得10
14秒前
14秒前
77发布了新的文献求助10
15秒前
15秒前
15秒前
zhangwuhui发布了新的文献求助10
15秒前
16秒前
16秒前
16秒前
molihuakai应助27758采纳,获得10
17秒前
芫荽完成签到 ,获得积分10
18秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
Adhesion Science: Principles & Practice 400
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 6492218
求助须知:如何正确求助?哪些是违规求助? 8289901
关于积分的说明 17689512
捐赠科研通 5583984
什么是DOI,文献DOI怎么找? 2915252
邀请新用户注册赠送积分活动 1892392
关于科研通互助平台的介绍 1750410