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Evaluating the driving comfort on urban self-luminous pavements based on human-machine interaction 基于人机交互的城市自发光路面驾驶舒适性评价
IF 6.8 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-10-01 DOI: 10.1016/j.jtte.2023.04.011
Wentong Wang , Wenxiu Jiao , Aimin Sha , Xinzhou Li , Fan Zhang , Wei Jiang , Dongdong Yuan
Paving self-luminous roads in cities has social and environmental benefits, including relieving the pressure on urban power generation and improving energy security. Drivers perceive pavement brightness as an important indicator of driving comfort. In the current state of knowledge, a thorough association between drivers' perceptions of comfort and driving brightness has not yet been demonstrated. In four districts of Xi'an, China, 67 urban road sections were first selected for night-time pavement illuminance measurements under different light environments, and night-time pavement illuminance zoning was completed. Optical parameters (pavement reflectance ratio, retro reflectance coefficient, chromaticity coordinates, and luminous pavement brightness) of self-luminous pavements were measured in the laboratory. Further, a self-luminous simulation road model was established using the DIALux Evo software. The visual signals of the driver (pupil diameter and obstacle gaze time) were collected and evaluated for comfort according to a human-machine interactive visual event acquisition system. Based on the association between driving brightness and respondents' reported subjective perceptions in the survey, the acceptable rate, comfort level, and brightness detectable level limits were created. The results indicated that a significant visual difference between the three self-luminous roads (high, medium-high, and low illuminations) and the target obstacle exists. The comfort level, acceptability, and brightness perception levels first decreased and then increased with an increase in brightness. The results of this study will help guide the comfort evaluation of luminous pavements and further promote functional research on self-luminous pavements.
在城市中铺设自发光道路具有社会效益和环境效益,可以缓解城市发电压力,提高能源安全。驾驶员将路面亮度视为驾驶舒适性的重要指标。在目前的知识状态下,驾驶员对舒适性的感知与驾驶亮度之间的彻底联系尚未得到证实。首先选取西安市4个区67个城市路段,在不同光环境下进行夜间路面照度测量,完成夜间路面照度分区。在实验室测量了自发光路面的光学参数(路面反射率、复古反射率系数、色度坐标、路面发光亮度)。在此基础上,利用DIALux Evo软件建立了自发光仿真道路模型。采用人机交互视觉事件采集系统采集驾驶员的视觉信号(瞳孔直径和注视障碍物时间),并对其舒适性进行评价。基于驾驶亮度与受访者在调查中报告的主观感知之间的关联,创建了可接受率、舒适度和亮度可检测水平限制。结果表明:高照度、中高照度和低照度三种自发光道路与目标障碍物存在显著的视觉差异;随着亮度的增加,舒适度、可接受性和亮度感知水平先下降后上升。本研究结果将有助于指导自发光路面的舒适性评价,进一步推动自发光路面的功能研究。
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引用次数: 0
Research hotspots and trend analysis of intelligent asphalt pavement technology based on CiteSpace 基于CiteSpace的智能沥青路面技术研究热点及趋势分析
IF 6.8 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-10-01 DOI: 10.1016/j.jtte.2025.07.002
Lei Chen , Yucong Wang , Wenxuan Li , Qian Chen , Chaohui Wang
Based on the visualization analysis method of bibliometrics, 1268 core academic papers in the fields of self-sensing, self-energy harvesting, self-snow melting, self-cleaning, self-temperature regulation, and self-healing from January 2020 to June 2025 were summarized using literature on intelligent asphalt pavement technology collected from China National Knowledge Infrastructure and Web of Science databases as data sources. The changes in the number of publications on intelligent asphalt pavement technology at different times and in various countries and their underlying relationships were explored. The knowledge structure and research hotspots in this field were revealed. It provides hot clues and prospects for intelligent asphalt pavement technology research. The results indicate that the number of research publications on intelligent asphalt pavement technology is rising. The types of disciplines are showing a trend of diversified interdisciplinary development. According to the knowledge graph analysis, future research in intelligent asphalt pavement technology will tend to focus on six areas: multi-factor intelligent sensing data analysis, intelligent allocation and complementary self-consistency of road energy, development of hydrophobic coatings for pavements, synthesis of long-lasting smoke suppression and air purification materials for the entire lifecycle, novel phase change materials and their performance regulation, and exploration of prediction models and mechanisms for self-healing effects.
基于文献计量学的可视化分析方法,以中国国家知识基础设施和Web of Science数据库收集的智能沥青路面技术相关文献为数据源,对2020年1月至2025年6月在自感知、自能量收集、自融雪、自清洁、自温度调节和自修复等领域的1268篇核心学术论文进行了汇总。探讨了智能沥青路面技术在不同时期和不同国家出版物数量的变化及其潜在关系。揭示了该领域的知识结构和研究热点。为智能沥青路面技术研究提供了热点线索和前景。研究结果表明,智能沥青路面技术的研究成果不断增多。学科类型呈现出多元交叉发展的趋势。根据知识图谱分析,未来智能沥青路面技术的研究将趋向于集中在六个方面:多因素智能传感数据分析、道路能量智能分配与互补自一致性、路面疏水涂料开发、全生命周期长效抑烟空气净化材料合成、新型相变材料及其性能调控、自愈效果预测模型与机制探索。
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引用次数: 0
Waste cooking oil potential as a green rejuvenator to restore the aged binder properties in reclaimed asphalt pavement: A state-of-the-art review 废食用油作为绿色返老还老剂在再生沥青路面中恢复老化粘结剂性能的潜力:最新研究综述
IF 6.8 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-10-01 DOI: 10.1016/j.jtte.2025.03.002
Waqar Ahmed Gul , Mohd Rosli Mohd Hasan , Mohammed Jameel , Kamaluddin Kamal , Mohd Fahmi Haikal Mohd Ghazali , Zulfirdaus Zakaria , Xu Yang
Reclaimed asphalt pavement (RAP) is a byproduct of milling flexible pavements and is typically used in recycling initiatives worldwide. The excessive dosage of RAP can have negative effects on asphalt mixture properties unless it goes through a rejuvenation process. Waste cooking oil (WCO) is one of the green solutions for rejuvenating aged binder in asphaltic concrete, and, like virgin asphalt binder, it contains light oil components. This review article offers current information on WCO's rejuvenating performance and the effect of its variable dosage on binders of varying grades. Several physical and rheological characteristics were investigated, and an appropriate spectrum of reported data was defined for the virgin and rejuvenated binders to ascertain the distinctive characteristics. Additionally, the effect of WCO on binders' asphaltene content, molecular structure, microscopic morphology, mechanical properties, and aging indices was discussed. In the high point of this review, a data range is developed for rejuvenated aged binders based on different properties prior to making a better prediction under different circumstances. Moreover, an optimum value is discussed suggesting the best balance between fatigue performance and rutting resistance. The aged binders modified with WCO exhibit better microchemical properties and particle orientation, with enhanced surface area and coating with aggregates, imitating the micropattern of conventional asphalt binder. Moreover, this review further discusses the economic and ecological aspects of WCO usage as a green asphalt binder rejuvenator.
再生沥青路面(RAP)是碾磨柔性路面的副产品,通常用于世界各地的回收计划。RAP用量过大会对沥青混合料的性能产生负面影响,除非经过再生过程。废食用油(WCO)是再生沥青混凝土中老化粘结剂的绿色解决方案之一,与原始沥青粘结剂一样,它含有轻质油成分。本文综述了WCO的再生性能及其不同剂量对不同等级粘结剂的影响。研究了几种物理和流变特性,并为原始和再生粘合剂定义了适当的数据谱,以确定其独特的特性。此外,还讨论了WCO对粘结剂沥青质含量、分子结构、微观形貌、力学性能和老化指标的影响。在这篇综述的高潮部分,我们根据不同的性质,开发了一个针对回青老化粘合剂的数据范围,然后在不同的情况下做出更好的预测。此外,还讨论了疲劳性能与车辙阻力之间的最佳平衡点。经WCO改性的老化粘结剂表现出更好的微化学性能和颗粒取向,表面积增大,表面包裹有骨料,与常规沥青粘结剂的微观模式相似。此外,本文还进一步讨论了WCO作为绿色沥青粘结剂再生剂的经济和生态方面的问题。
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引用次数: 0
A review of contact angle measurements for the characterization of pavement materials 路面材料表征中接触角测量的综述
IF 6.8 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-10-01 DOI: 10.1016/j.jtte.2024.09.009
M.A. Dalhat
Contact angle (CA) is an important material characteristic in the field of pavement materials. It has been instrumental to the development of new and evolving research areas such as the adhesion of pavement components, hydrophobic and superhydrophobic concretes, etc. Yet, there are several inconsistencies between studies when it comes to the CA characterization of various pavement materials. This is in part due to the lack of sufficient research and proper documentation of existing knowledge on the CA characterization of pavement materials. This current study has documented and analyzed the processes of measuring the CA of various pavement materials. This includes sample preparation, test conditions, and recommended practices. Studies on the refinement of existing methods for the estimation of CA were also reviewed. The relationships between CA and various pavement and material performances were also reviewed. The increased need for resilient pavements calls for the search for new and effective material characteristics parameters. CA measurements have the potential to change how the properties of fresh cementitious mixes are being assessed. The sessile drop method offers more flexibility for characterizing the CA of pavement materials. The potential application of CA for the improvement and development of new material performance characteristics was discussed. Insights on ways to advance the evaluation of hydrophobic characteristics of pavements were outlined. For example, the use of de-ionized or distilled water for the assessment of hydrophobic properties of concrete does not reflect the moisture condition in the field. CA measurements at different water PH levels should be carried out to replicate the true service condition of the concretes.
接触角(CA)是路面材料领域中一项重要的材料特性。它有助于发展新的和不断发展的研究领域,如路面成分的粘附性,疏水和超疏水混凝土等。然而,当涉及到各种路面材料的CA表征时,研究之间存在一些不一致之处。这部分是由于缺乏足够的研究和适当的文件,现有的知识,路面材料的CA表征。本研究记录并分析了测量各种路面材料的CA的过程。这包括样品准备、测试条件和推荐的操作方法。本文还对现有CA估计方法的改进研究进行了综述。综述了CA与各种路面和材料性能之间的关系。对弹性路面的需求不断增加,要求寻找新的有效的材料特性参数。CA测量有可能改变新胶凝混合物的性能评估方式。固滴法为路面材料CA的表征提供了更大的灵活性。讨论了CA在改进和开发新材料性能特性方面的潜在应用。概述了推进路面疏水特性评价的方法。例如,使用去离子水或蒸馏水来评估混凝土的疏水性并不能反映现场的水分状况。应在不同的水PH值下进行CA测量,以复制混凝土的真实使用条件。
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引用次数: 0
A review of research on vehicle detection in adverse weather environments 恶劣天气环境下车辆检测研究综述
IF 6.8 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-10-01 DOI: 10.1016/j.jtte.2025.06.001
Sheng Feng , Xueying Cai , Limin Li , Weixing Wang , Senang Ying
Real-time vehicle detection in adverse weather environments is highly important for improving the level of vehicle intelligence and reducing the occurrence of traffic accidents. Multi-sensor fusion plays an irreplaceable role in the detection process, helping autonomous vehicles to obtain more comprehensive and reliable environmental information in adverse weather. In this paper, vehicle detection and denoising methods under adverse weather conditions using different sensors are comprehensively reviewed. First, we analyze the influence of different atmospheric particles on image quality and summarize the methods for selecting detection models for various weather conditions. Second, we discuss the advantages of different sensors and commonly used sensor fusion methods. Third, we review vehicle detection algorithms based on cameras and LiDAR, as well as the image denoising and point cloud denoising methods. Fourth, we introduce relevant datasets for vehicle detection under adverse weather. Fifth, we introduced roadside cooperative perception technology, which helps autonomous vehicles obtain richer detection information under adverse weather. Finally, we discuss the challenges and future trends of vehicle detection, including sensor fusion, real-time performance constraints, and evaluation criteria. This review covers a wide range of topics and is designed to help readers understand vehicle inspection methods, especially in inclement weather.
在恶劣天气环境下对车辆进行实时检测,对于提高车辆智能化水平,减少交通事故的发生具有重要意义。多传感器融合在检测过程中发挥着不可替代的作用,可以帮助自动驾驶汽车在恶劣天气下获得更全面、更可靠的环境信息。本文全面综述了恶劣天气条件下使用不同传感器的车辆检测和去噪方法。首先,分析了不同大气颗粒物对图像质量的影响,总结了不同天气条件下检测模型的选择方法。其次,我们讨论了不同传感器的优点和常用的传感器融合方法。第三,回顾了基于摄像头和激光雷达的车辆检测算法,以及图像去噪和点云去噪方法。第四,介绍了恶劣天气下车辆检测的相关数据集。第五,引入路边协同感知技术,帮助自动驾驶汽车在恶劣天气下获得更丰富的检测信息。最后,我们讨论了车辆检测的挑战和未来趋势,包括传感器融合、实时性能约束和评估标准。这篇综述涵盖了广泛的主题,旨在帮助读者了解车辆检查方法,特别是在恶劣天气下。
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引用次数: 0
Creep characteristics and constitutive model construction of offshore soft soils 近海软土蠕变特性及本构模型构建
IF 6.8 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-10-01 DOI: 10.1016/j.jtte.2022.12.004
Hainian Wang , Wenhua Zheng , Linlong Shao , Ponan Feng , Tongtong Wan , Heyang Ding
The main objective of this study was to investigate creep characteristics and construct a suitable constitutive model for soft soils in offshore areas. Soft soil samples were obtained to evaluate the physical and mechanical properties. Additionally, a triaxial creep test was conducted by applying different axial deviator stresses under three confining pressures to analyze the creep characteristics and establish a creep constitutive model suitable. It was found that the physical and mechanical properties of soft soils at different depths are significantly different, and the physical properties have a significant correlation with compression modulus and compression coefficient. The soft soils creep mainly present linear viscoelasticity under low axial stress, while it shows nonlinear viscoplasticity characteristics when the axial deviator stress is greater than the yield stress. The correlation coefficient R2 of Merchant model fitting curves are significantly larger than that of Burgers model. The Burgers model fitting curves have a large deviation from the actual creep characteristics under smaller axial deviator stress and the parameters are also inconsistent with the internal creep mechanism. The Kelvin body in Merchant model can better simulate attenuation creep characteristics of soft soils, but it cannot exhibit nonlinear viscoplasticity creep characteristics. Furthermore, a combination of Merchant model and power function empirical model can dramatically characterize the linear viscoelasticity and nonlinear viscoplasticity creep behaviors of offshore soft soils, with a correlation coefficient above 0.94. Verification of the combined constitutive model indicates that it has excellent credibility and applicability in offshore areas.
本研究的主要目的是研究近海地区软土的蠕变特性,并建立合适的本构模型。获取软土样品,评价其物理力学性能。在三种围压条件下,通过施加不同的轴向偏应力,进行三轴蠕变试验,分析蠕变特性,建立合适的蠕变本构模型。研究发现,不同深度软土的物理力学性质存在显著差异,物理性质与压缩模量和压缩系数存在显著相关性。软土蠕变在低轴向应力下主要表现为线性粘弹性,当轴向偏应力大于屈服应力时表现为非线性粘塑性。Merchant模型拟合曲线的相关系数R2显著大于Burgers模型。在较小的轴向偏应力下,Burgers模型拟合曲线与实际蠕变特性偏差较大,参数也与内部蠕变机理不一致。Merchant模型中的Kelvin体能较好地模拟软土的衰减蠕变特性,但不能表现出非线性粘塑性蠕变特性。此外,Merchant模型与幂函数经验模型相结合可以较好地表征近海软土的线性粘弹性和非线性粘塑性蠕变行为,相关系数均在0.94以上。对该组合本构模型的验证表明,该组合本构模型具有良好的可信度和适用性。
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引用次数: 0
Mapping the knowledge domain of crash risk in older drivers studies: A scientometric analysis 绘制老年驾驶员研究中碰撞风险的知识域:科学计量学分析
IF 7.4 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-06-01 DOI: 10.1016/j.jtte.2024.05.002
Bingshuo Chen , Xiaohua Zhao , Yang Li , Xiaoming Liu
With the rapid global progression of population aging, the traffic safety of older drivers has emerged as a worldwide concern, resulting in a significant surge in the number of manuscripts on this subject. This study employed scientometric analysis to scrutinize 1652 original manuscripts concerning research on older drivers. To visually depict the current state of knowledge in the field, mapping knowledge domain (MKD) was employed for scientometric analysis, shedding light on the evolution of this research area. Firstly, a statistical analysis was conducted to scrutinize the development of research on older drivers. Secondly, VOSviewer was utilized for manuscript co-citation analysis, revealing five primary research topics: cognitive function and crash risk, visual processing impairment and crash risk, potential consequences of changes in driving patterns, involvement of older drivers in crashes, as well as identifying and enhancing factors contributing to unsafe driving. Thirdly, CitNetExplorer was applied to identify core publications and their reference relationships. Research predominantly focused on visual function, cognitive function, and physical health. Fourthly, VOSviewer's keyword co-citation analysis pinpointed research hotspots in the last five years concerning older drivers: driving risk factors, driving fitness evaluation, impact of distraction on driving, and impact of visual impairment on driving. Finally, based on the aforementioned discussions and the situation in China, some feasible research directions are proposed. This paper summarizes the overall trends in the study of older drivers and the risk factors for traffic accidents. These findings can serve as a reference for improving the driving and road traffic safety of older drivers.
随着全球人口老龄化的迅速发展,老年驾驶员的交通安全问题已经成为一个世界性的问题,导致这一主题的论文数量大幅增加。本研究采用科学计量学分析方法,对1652份有关老年司机研究的原始手稿进行了详细审查。为了直观地描述该领域的知识现状,我们采用知识图谱(mapping knowledge domain, MKD)进行科学计量分析,揭示了该研究领域的发展历程。首先,进行了统计分析,以审查老年司机研究的发展。其次,利用VOSviewer对论文进行共被引分析,揭示了五个主要研究课题:认知功能与碰撞风险、视觉加工损伤与碰撞风险、驾驶模式变化的潜在后果、老年驾驶员参与碰撞,以及识别和增强导致不安全驾驶的因素。第三,应用CitNetExplorer识别核心出版物及其参考文献关系。研究主要集中在视觉功能、认知功能和身体健康方面。第四,VOSviewer通过关键词共被引分析,精准定位了近5年关于老年驾驶员的研究热点:驾驶危险因素、驾驶健康评价、分心对驾驶的影响、视力障碍对驾驶的影响。最后,结合上述讨论和中国的实际情况,提出了一些可行的研究方向。本文总结了老年驾驶员研究的总体趋势和交通事故的危险因素。研究结果可为提高老年驾驶员的驾驶和道路交通安全水平提供参考。
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引用次数: 0
Precision salt application using advanced machine learning algorithms to achieve improved road safety and reduced environmental impacts 精密盐应用采用先进的机器学习算法,实现提高道路安全性,减少环境影响
IF 7.4 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-06-01 DOI: 10.1016/j.jtte.2024.11.004
Sepideh Emami Tabrizi, Jennifer Elizarov, Hani Farghaly, Bahram Gharabaghi
The application of de-icing salts to improve winter road safety, although necessary in cold climates, may adversely affect groundwater resources and degrade aquatic life in urban streams, if over-prescribed, and cause an increase in crash rates, if under-prescribed. The main objective of this research is to develop algorithms for precision salt application rate (SAR) using advanced machine learning methods to achieve the desired road safety with less adverse environmental effects. This study highlights the importance of accurate real-time monitoring of pavement surface temperature and meteorological variables (i.e., storm duration, hourly precipitation rate, and air temperature) as key factors in prescribing salt application rates during winter storm events. A new SAR model was trained/tested using a decade of historic salt application rates from a range of winter storm events on three different road classes. The application of this model can help road authorities to achieve greater road safety and reduce adverse environmental impacts, especially in the identified and mapped salt vulnerable areas.
为改善冬季道路安全而使用除冰盐虽然在寒冷气候下是必要的,但如果使用过量,可能会对地下水资源产生不利影响,并使城市溪流中的水生生物退化;如果使用不足,则可能导致撞车率增加。本研究的主要目的是利用先进的机器学习方法开发精确盐施用量(SAR)的算法,以实现所需的道路安全,减少不利的环境影响。该研究强调了准确实时监测路面温度和气象变量(即风暴持续时间、每小时降水率和气温)的重要性,它们是冬季风暴事件中规定施盐量的关键因素。一个新的SAR模型被训练/测试,使用十年来在三种不同道路上的一系列冬季风暴事件的历史盐施用量。该模型的应用可以帮助道路管理部门实现更大的道路安全,减少不利的环境影响,特别是在已确定和绘制的盐易损区。
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引用次数: 0
Effect of surface free energy and mix design parameters on low-temperature cracking of hot mix asphalt 表面自由能和配合比设计参数对热拌沥青低温开裂的影响
IF 7.4 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-06-01 DOI: 10.1016/j.jtte.2024.03.009
Gholam Hossein Hamedi, Javad Zarrinfam, Amir Hossein Asadi
Factors affecting the resistance of asphalt mixtures against low-temperature cracking are divided into three categories: pavement structure geometry, material properties, and environmental conditions. Most of the existing models for evaluating and predicting the resistance of asphalt mixtures against low-temperature cracking have focused more on environmental factors and pavement structure geometry. However, the impact of material properties has been neglected. The concepts of surface free energy (SFE) that focus on material properties have a high potential to assess different failures of asphalt mixtures. Accordingly, in this research, the effect of SFE parameters, along with mix design parameters and bitumen rheological properties, were studied on the resistance of asphalt mixture against low-temperature cracking using an artificial neural network (ANN) model. Two indicators of fracture energy and fracture toughness were considered as the criteria for the resistance of asphalt mixtures against low-temperature cracking which is measured by the semi-circular bending (SCB) test. The sensitivity analysis results of the models indicated a positive correlation between the resistance of asphalt mixtures against low-temperature cracking and independent variables, including the apparent film thickness (AFT) on the surface of the aggregate, the index of aggregate (Ia), adhesion free energy (AFE), the ratio of the base to acid component of the aggregates (base to acid), cohesion free energy (CFE), the specific surface area (SSA) of the aggregates, and the stress relaxation rate (m-value). Among the variables studied, bitumen creep stiffness had a reverse relationship with the resistance of asphalt mixtures against low-temperature cracking. In addition, the sensitivity analysis results based on normalized data illustrated that the AFT and m-value were the most significant parameters affecting the asphalt mixtures' resistance against low-temperature cracking.
影响沥青混合料抗低温开裂性能的因素分为三类:路面结构几何形状、材料性能和环境条件。现有的沥青混合料抗低温开裂性评价和预测模型大多侧重于环境因素和路面结构几何。然而,材料性能的影响一直被忽视。关注材料特性的表面自由能(SFE)概念在评估沥青混合料的不同失效方面具有很大的潜力。因此,本研究采用人工神经网络(ANN)模型研究了SFE参数、混合料设计参数和沥青流变特性对沥青混合料抗低温开裂性能的影响。以断裂能和断裂韧性两个指标作为衡量沥青混合料低温开裂性能的标准,通过半圆弯曲试验对其进行了测试。模型敏感性分析结果表明,沥青混合料抗低温开裂性能与集料表面表观膜厚(AFT)、集料指数(Ia)、附着自由能(AFE)、集料碱酸比(base to acid)、黏聚自由能(CFE)、集料比表面积(SSA)等自变量呈正相关。和应力松弛速率(m值)。在研究的变量中,沥青蠕变刚度与沥青混合料抗低温开裂性能成反比关系。此外,基于归一化数据的敏感性分析结果表明,AFT和m值是影响沥青混合料抗低温开裂性能最显著的参数。
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引用次数: 0
Fatigue damage rules of cement stabilized materials under the multi-scale perspective: Combined approach of simulations and measurements 多尺度下水泥稳定材料的疲劳损伤规律:模拟与测量相结合的方法
IF 7.4 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-06-01 DOI: 10.1016/j.jtte.2025.02.001
Kun Xi , Shi Dong , Hainian Wang , Xiaokang Zhao , Jinyi Jiang
Cement stabilized materials (CSM) are widely used in pavement base layers, where fatigue damage is inevitable throughout their service life. Due to their significant heterogeneity as multiphase composite materials, a multi-scale approach is essential for studying their fatigue damage. This paper aims to propose a combined approach of simulations and measurements. This approach can characterize the multiphase and heterogeneity properties of CSM and reveal their fatigue damage rules. Firstly, the strength and fatigue performance of CSM were tested, leading to the development of a macroscopic modulus fatigue damage model. Secondly, a pre- and post-fatigue test X-ray computed tomography method with maintained loading was developed to capture the internal meso-structure of CSM. The trainable Weka segmentation was used to provide an accurate meso-structure of CSM for discrete element model (DEM). Thirdly, microscopic testing results were utilized to calibrate the contact parameters of the DEM. The virtually generated aggregate methods for DEM were proposed to enrich the specimens. Finally, virtual fatigue tests were conducted to investigate the fatigue damage rules and to extend the macroscopic modulus fatigue damage model. The results revealed that the fatigue damage rules of CSM accumulate nonlinearly. From a macroscopic perspective, the decay in modulus follows an S-curve across three stages. From a mesoscopic perspective, the average radius coefficient of DEM bonded contacts decreases at an accelerating decay rate. The method proposed in this study reveals the fatigue damage rules under varying stress ratios and cement contents, and develops a simulation based fatigue life prediction equation of CSM. This study offers a reliable numerical technique for modeling and analyzing the fatigue damage rules of composite materials.
水泥稳定材料(CSM)广泛应用于路面基层,在其整个使用寿命中,疲劳损伤是不可避免的。由于其作为多相复合材料具有明显的非均质性,因此采用多尺度方法研究其疲劳损伤是必要的。本文旨在提出一种模拟与测量相结合的方法。该方法可以表征CSM的多相性和非均质性,揭示其疲劳损伤规律。首先,对CSM的强度和疲劳性能进行了测试,建立了宏观模量疲劳损伤模型。其次,建立了一种保持载荷的疲劳前后x射线计算机断层扫描方法来捕捉CSM的内部细观结构。采用可训练的Weka分割方法为离散元模型(DEM)提供精确的CSM细观结构。第三,利用微观测试结果对DEM的接触参数进行标定。提出了虚拟生成集合体的DEM方法,以丰富样本。最后进行虚拟疲劳试验,研究疲劳损伤规律,扩展宏观模量疲劳损伤模型。结果表明,CSM的疲劳损伤规律呈非线性累积。从宏观的角度来看,模量的衰减遵循三个阶段的s曲线。从介观角度看,DEM键合接触的平均半径系数以加速衰减速率减小。该方法揭示了不同应力比和水泥掺量下CSM的疲劳损伤规律,建立了基于仿真的CSM疲劳寿命预测方程。该研究为模拟和分析复合材料的疲劳损伤规律提供了可靠的数值方法。
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引用次数: 0
期刊
Journal of Traffic and Transportation Engineering-English Edition
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