Research on asphalt surface layer performance over service time and establishment of ageing model for in-service bitumen under Norwegian conditions

沥青 使用寿命 老化 服务(商务) 环境科学 材料科学 动态模量 模数 粘弹性 法律工程学 复合材料 工程类 动态力学分析 生物 经济 经济 遗传学 聚合物
作者
Xuemei Zhang,Rabbira Garba Saba,Hao Chen,Inge Hoff,Jianan Liu,Fusong Wang
出处
期刊:Case Studies in Construction Materials [Elsevier]
卷期号:20: e02824-e02824
标识
DOI:10.1016/j.cscm.2023.e02824
摘要

Asphalt surface layer as one of the significant pavement layers is directly withstanding traffic loading and external service conditions, and its performance highly determines the life cycle cost of asphalt pavements. Bitumen ageing is an unavoidable process for asphalt surface layer, and it shortens the service life and increases the risk of distress of asphalt pavements. A large number of studies have been conducted on the consequences of asphalt surface layer ageing under ambient environmental conditions. However, the development of asphalt mixture performance under Norwegian conditions and ageing model for the in-service bitumen have not been extensively investigated. Therefore, this work aims to investigate asphalt surface layer performance over service time and establish ageing model for the in-service bitumen. To achieve this goal, core samples acquired from the field and bitumen extracted from in-service field cores were analysed by comparing them with reference bitumen and asphalt mixtures. The physical, chemical, viscoelastic and performance grade variables of the bitumen were characterised, as well as the dynamic modulus and density of asphalt mixtures. The ageing models for bitumen property parameters were established using bitumen type, service time and average annual temperature as independent variables after statistical data processing. As a result, a good agreement between predicted values and measured values of property parameters was achieved because of the high accuracy of prediction of the ageing model. The proposed ageing model for bitumen under Norwegian conditions is beneficial for predicting bitumen properties at specific service time.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
竹竹发布了新的文献求助10
1秒前
2秒前
3秒前
呼呼发布了新的文献求助10
3秒前
3秒前
一只大憨憨猫完成签到,获得积分10
4秒前
5秒前
6秒前
ding应助FAY采纳,获得10
6秒前
8秒前
lion_wei发布了新的文献求助10
8秒前
爆米花应助交出小狗采纳,获得10
9秒前
11秒前
meini发布了新的文献求助10
11秒前
chiron完成签到,获得积分10
13秒前
竹竹完成签到,获得积分10
13秒前
爆米花应助鞘皮采纳,获得10
15秒前
yuan发布了新的文献求助10
16秒前
18秒前
Zyl完成签到 ,获得积分10
19秒前
20秒前
朴实海亦完成签到,获得积分10
20秒前
詹密完成签到,获得积分10
20秒前
葭月十七发布了新的文献求助10
21秒前
大气无极完成签到,获得积分10
21秒前
李爱国应助no_one采纳,获得10
22秒前
24秒前
25秒前
动听帆布鞋完成签到,获得积分10
25秒前
Moon完成签到 ,获得积分10
25秒前
Xujiamin发布了新的文献求助10
26秒前
云轩完成签到,获得积分10
28秒前
28秒前
28秒前
繁荣的向秋完成签到,获得积分10
29秒前
派大星完成签到 ,获得积分10
29秒前
zhing完成签到,获得积分10
30秒前
喜东东发布了新的文献求助30
32秒前
小鱼仔关注了科研通微信公众号
33秒前
叶子完成签到,获得积分10
34秒前
高分求助中
The Oxford Handbook of Social Cognition (Second Edition, 2024) 1050
Kinetics of the Esterification Between 2-[(4-hydroxybutoxy)carbonyl] Benzoic Acid with 1,4-Butanediol: Tetrabutyl Orthotitanate as Catalyst 1000
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
юрские динозавры восточного забайкалья 800
English Wealden Fossils 700
Handbook of Qualitative Cross-Cultural Research Methods 600
Chen Hansheng: China’s Last Romantic Revolutionary 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3140041
求助须知:如何正确求助?哪些是违规求助? 2790931
关于积分的说明 7797066
捐赠科研通 2447278
什么是DOI,文献DOI怎么找? 1301808
科研通“疑难数据库(出版商)”最低求助积分说明 626340
版权声明 601194