道路交通科学技术不断进步，作为道路工程重要组成部分的路面工程也在飞速发展。全球路面工程领域当前的热门话题和最新的研究发现有哪些？国内外路面设计方法有何不同？

本期刊·见为您带来土木结构与岩土工程领域路面工程方向相关的期刊International Journal of Pavement Engineering。除了期刊介绍外，本期内容还包含以下刊内近三年高被引文章，以及近一年高阅读文章，欢迎阅览。

l   多孔超薄沥青铺层性能实验研究

l   预测土工合成材料加固路基用土强度的智能方法

l   用回收玻璃改善膨胀性粘土的机械和物理特性以及循环膨胀收缩行为

l   沥青路面的原位测试和ICMVs：缺乏相关性和底层支撑的影响

International Journal of Pavement Engineering 是国际混凝土路面协会的官方期刊。致力于发表与重要的结构和设施类型的发展有关的前沿研究，包括先进的分析和计算技术以及路面力学；材料表征和创新的实验室测试技术、无损检测和评估；新颖的设计方法及其实现；施工技术和策略；修复、保护和维护策略和方法；粘结和非粘结路面性能；路面生命周期评估和生命周期成本分析；路面管理系统。

 该期刊已被SCIE、Scopus、British Library Inside、EBSCO等数据库收录。

2022影响因子：3.8

2022 5年影响因子：3.8

影响因子最佳分区：Q2

2022 CiteScore: 7.4

2022CiteScore最佳分区: Q1

年下载量：19.3万次

影响因子

根据JCR显示，International Journal of Pavement Engineering 最新的影响因子是3.8，在建筑与建筑技术领域排名23/68；在土木工程领域排名46/139。 

（来源：2022 Journal Citation Reports）

CiteScore

 根据Scopus显示, International Journal of Pavement Engineering的

·         CiteScore（2022）为7.4

·         CiteScoreTracker（2023）为7.3

在工程学：材料力学领域排名59/391

在工程学：土木与结构工程领域排名53/350

（来源：Scopus数据库）

中国科学院分区

根据2022年12月21日发布的中国科学院期刊分区表（升级版）显示

大类及分区：工程技术3区；

小类及分区：材料科学：表征与测试2区、结构与建筑技术3区、工程：土木3区。

编辑团队

International Journal of Pavement Engineering主编由Tom Scarpas（阿联酋哈利法大学民用基础设施与环境工程系教授、创始主席，荷兰代尔夫特理工大学土木学院道路工程教授）和Imad L. Al-Qadi （美国伊利诺伊大学厄巴纳-香槟分校土木与环境工程系）共同担任；副主编和编委由多国学者组成。其中，副主编成员中来自中国的是华中科技大学的游凌云教授。

主编介绍

Tom Scarpas，阿联酋哈利法大学民用基础设施与环境工程系教授/创始主席，荷兰代尔夫特理工大学土木学院道路工程教授。他的研究方向包括：路面材料的结构建模、路面力学与设计、沥青材料老化和愈合的化学力学建模、车轮与路面的相互作用、沥青混合料中由湿气引起的损坏建模、非线性有限元分析技术和多相介质力学。

Imad L. Al-Qadi，美国伊利诺伊大学厄巴纳-香槟分校（UIUC）Grainger工程学院教授、伊利诺伊州交通中心（ICT）主任。他的研究方向包括：公路和机场路面力学、高级建模、轮胎与路面相互作用、路面断裂建模和测试、界面和夹层系统（包括土工合成材料）、路面材料、可持续性、弹性和生命周期评价等。

中国副主编

游凌云，华中科技大学副教授、博士生导师。近年来广泛开展多学科融合研究（力学、材料学、计算科学、工程学等），致力于沥青路面结构力学行为理论及其养护决策、固体废弃物资源化与精细化性能调控技术的研究工作，他的研究方向包括：道路材料、路面结构行为理论、多尺度计算方法、机器识别与决策。

中国编委

冯德成，哈尔滨工业大学教授、博士生导师，入选教育部“新世纪优秀人才”。他的研究方向包括：1）路面材料与结构；2）复杂环境下的路基稳定技术；3）工程低成本建造与可持续发展。

作者分布

根据JCR显示，近三年在International Journal of Pavement Engineering发文的国家中，发文排名前三的是

·     中国

·     美国

·         伊朗

近三年，在International Journal of Pavement Engineering发文的全球高校和科研机构中，发文量排名前三的是

·      中国长安大学

·         印度理工学院

·         中国东南大学

近三年刊内高被引文章

Experimental study of the performance of porous ultra-thin asphalt overlay

多孔超薄沥青铺层性能实验研究

作者：Wei Jiang et al. 

摘要：

Porous ultra-thin asphalt overlay (PUAO) is widely used in maintenance and new road surface layers. Since the paving thickness of PUAO is only about 20 mm, it is necessary to study its own performance and the overall performance of the double-layer material formed by the ultra-thin overlay and the under-layer mixture. PUAO and PUAO/asphalt concrete double-layer specimens with different air voids were prepared and the performance of the specimens were studied. The results showed that as the air voids increased from 15.8% to 24.4%, the PUAO’s high-temperature rutting dynamic stability decreased, the tensile strength ratio first decreased and then increased and the acoustic absorption coefficient peak value increased gradually, but the peak value of frequency moved from 400 Hz to 1250 Hz. The dynamic stability and low-temperature bending strength of the PUAO/AC-13 double-layer specimens were higher than those of the PUAO single-layer specimens. However, the double-layer specimen had a smaller permeability coefficient than the single-layer specimen. The International Friction Index showed that after 600,000 abrasion cycles, the F60 values of the five PUAOs were higher than those of the DUAO, indicating that the PUAO material had excellent skid resistance performance.

An intelligent approach for predicting the strength of geosynthetic-reinforced subgrade soil

预测土工合成材料加固路基用土强度的智能方法

作者：Muhammad Nouman Amjad Raja et al.

摘要：

In the recent times, the use of geosynthetic-reinforced soil (GRS) technology has become popular for constructing safe and sustainable pavement structures. The strength of the subgrade soil is routinely assessed in terms of its California bearing ratio (CBR). However, in the past, no effort was made to develop a method for evaluating the CBR of the reinforced subgrade soil. The main aim of this paper is to explore and appraise the competency of the several intelligent models such as artificial neural network (ANN), least median of squares regression, Gaussian processes regression, elastic net regularisation regression, lazy K-star, M-5 model trees, alternating model trees and random forest in estimating the CBR of reinforced soil. For this, all the models were calibrated and validated using the reliable pertinent historical data. The prognostic veracity of all the tools mentioned supra were assessed using the well-established traditional statistical indices, external model evaluation technique, multi-criteria assessment approach and independent experimental dataset. Due to the overall excellent performance of ANN, the model was converted into a trackable functional relationship to estimate the CBR of reinforced soil. Finally, the sensitivity analysis was performed to find the strength and relationship of the used parameters on the CBR value.

 Experimental setup for the CBR tests conducted in this study: (a) schematic diagram of the specimen; (b) layout/placement of reinforcement layer at a predetermined depth in CBR mould; (c) test apparatus.

近一年内高阅读量文章

Mechanical and physical properties and cyclic swell-shrink behaviour of expansive clay improved by recycled glass

用回收玻璃改善膨胀性粘土的机械和物理特性以及循环膨胀收缩行为

作者：Asmaa Al-Taie et al.

摘要：

The stabilisation of expansive clay subgrades using recycled glass (RG) was proposed, as a sustainable ground improvement technique. Previous studies mainly focused on using RG powder with contents up to 10%, while the current study utilised sand-size particles and up to 40% RG content. Physical properties, compressibility, strength characteristics, and long-term climatic effects on the volumetric behaviour of stabilised clay were investigated. Volumetric responses of stabilised clay were analysed through a constitutive model developed for environmentally stabilised clay. The experimental results revealed that the plasticity of mixtures decreased by 30% as RG content increased to 40%. By using larger RG particles, the strength and bearing capacity increased by about 45% and 130% with the addition of 25% RG. However, adding about 6% of glass powder was sufficient to increase the strength and bearing capacity to about 100% and 200%, respectively. The swell-shrink results suggested that the maximum swelling was achieved in the second cycle in which the clay classification was converted from medium to high expansive clay. The experimental results were also compared and discussed with corresponding data collected from the literature. The outcomes of this study advance the prediction and understanding of the mechanical behaviour of RG-stabilised clay.

Figure 1. Grain size distribution curves of the clay and recycled glass.

In-situ spot test measurements and ICMVs for asphalt pavement: lack of correlations and the effect of underlying support

沥青路面的原位测试和 ICMVs：缺乏相关性和底层支撑的影响

作者：Asmaa Al-Taie et al.

摘要：

The main aim of this paper is to analyse the performance of different intelligent compaction measurement values (ICMVs) and compare them with spot test measurements for asphalt pavement. To accomplish this, a two-layer asphalt testbed was constructed using an instrumented double-drum roller. All ICMVs [compaction meter value (CMV), compaction control value (CCV), roller-integrated stiffness (kb), and vibratory modulus (EVIB)] were calculated using the same accelerometer data collected during the construction of the asphalt testbed. The analysis of ICMV data showed a strong correlation between kb and EVIB, while CMV and CCV demonstrated a strong correlation only when double jump of the roller drum did not occur. Further, none of the ICMVs recorded during the last roller pass of asphalt compaction showed an acceptable correlation with asphalt densities [measured using a non-nuclear density gauge (NNDG)], mainly due to the influences of the underlying support and asphalt temperature on ICMVs. A correction method to decouple the influence of underlying support on EVIB was developed and validated using existing data from the literature. The applicability of this method for different field scenarios was demonstrated using numerical modelling.

Figure 1. Schematic diagram of an intelligent compaction (IC) roller (Sivagnanasuntharam et al. Citation2021).

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·         获取首个同行评审觉得，平均需要66天

·         稿件一旦接受后，在线平均出版需要18天

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