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Modeling the dynamic performance of transportation infrastructure using panel data model in state-space specifications

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Journal of Traffic and Transportation Engineering(English Edition) 2023年第3期10卷 441-453页

作者： bingye han Zengming Du Lei Dai Jianming Ling Fulu Wei School of Civil and Transportation Engineering Beijing University of Civil Engineering and ArchitectureBeijing 100044China Jiangsu Technology Industrialization and Research Center of Ecological Road Engineering Suzhou 215011China Key Laboratory of Infrastructure Durability and Operation Safety in Airfield of CAAC Shanghai 201804China Foshan Construction&Development Group Co. Ltd.Foshan 528000China Key Laboratory of Road and Traffic Engineering of Ministry of Education Tongji UniversityShanghai 200092China China Construction Eighth Engineering Division Co. Ltd.Shanghai 200082China Lyles School of Civil Engineering Purdue UniversityWest LafayetteIN 47907USA

In this study,different modeling approaches used in panel data for performance forecast of transportation infrastructure are firstly reviewed,and the panel data models(PDMs)are highlighted for longitudinal data sets.The state-space specification of PDMs are proposed as a framework to formulate dynamic performance models for transportation facilities and panel data sets are used for estimation.The models could simultaneously capture the heterogeneity and update forecast through inspections.PDMs are applied to tackle the cross-section heterogeneity of longitudinal data,and PDMs in state-space forms are used to achieve the goal of updating performance forecast with new coming data.To illustrate the methodology,three classes of dynamic PDMs are presented in four examples to compare with two classes of static PDMs for a group of composite pavement sections in an airport in east China.Estimation results obtained by ordinary least square(OLS)estimator and system generalized method of moments(SGMM)are compared for two dynamic instances.The results show that the average root mean square errors of dynamic specifications are all significantly lower than those of static counterparts as prediction continues over time.There is no significant difference of prediction accuracy between state-space model and curve shifting model over a short time.In addition,SGMM does not obtain higher prediction accuracy than OLS in this case.Finally,it is recommended to specify the inspection intervals as several constants with integer multiples.

关键词： Infrastructure performance modeling Dynamic models State-space models Pavement condition index Ordinary least square Generalized method of moments

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New innovations in pavement materials and engineering:A review on pavement engineering research 2021

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Journal of Traffic and Transportation Engineering(English Edition) 2021年第6期8卷 815-999页

作者： JTTE Editorial Office Jiaqi Chen hancheng Dan Yongjie Ding Yangming Gao Meng Guo Shuaicheng Guo bingye han Bin Hong Yue Hou Chichun Hu Jing Hu Ju Huyan Jiwang Jiang Wei Jiang Cheng Li Pengfei Liu Yu Liu Zhuangzhuang Liu Guoyang Lu Jian Ouyang Xin Qu Dongya Ren Chao Wang Chaohui Wang Dawei Wang Di Wang Hainian Wang Haopeng Wang Yue Xiao Chao Xing Huining Xu Yu Yan Xu Yang Lingyun You Zhanping You Bin Yu Huayang Yu Huanan Yu Henglong Zhang Jizhe Zhang Changhong Zhou Changjun Zhou Xingyi Zhu Editorial Office of Journal of Traffic and Transportation Engineering(English Edition) Chang’an UnivieristyXi’an 710064China School of Civil Engineering Central South UniversityChangsha 410075China School of Civil Engineering Chongqing Jiaotong UniversityChongqing 400074China Department of Structural Engineering Faculty of Civil Engineering and GeosciencesDelft University of TechnologyDelft 2628 CNthe Netherlands The Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education Beijing University of TechnologyBeijing 100124China College of Civil Engineering Hunan UniversityChangsha 410082China School of Civil and Transportation Engineering Beijing University of Civil Engineering and ArchitectureBeijing 100044China School of Transportation Science and Engineering Harbin Institute of TechnologyHarbin 150090China College of Metropolitan Transportation Beijing University of TechnologyBeijing 100124China School of Civil Engineering&Transportation South China University of TechnologyGuangzhou 510641China School of Transportation Southeast UniversityNanjing 211189China Department of Civil&Environmental Engineering University of WaterlooWaterlooON N2L 3G1Canada Department of Civil and Environmental Engineering The Hong Kong Polytechnic UniversityHong KongChina School of Highway Chang’an UniversityXi’an 710064China Institute of Highway Engineering RWTH Aachen UniversityAachen 52074Germany School of Transportation&Logistics Dalian University of TechnologyDalian 116024China School of Civil Engineering Southwest Jiaotong UniversityChengdu 611756China Faculty of Architecture Civil and Transportation EngineeringBeijing University of TechnologyBeijing 100124China Department of Civil Engineering Aalto UniversityEspoo 02150Finland Nottingham Transportation Engineering Center(NTEC) University of NottinghamNottingham NG72RDUK State Key Laboratory of Silicate Materials for Architectures Wuhan University of TechnologyWuhan 430070China College of Transportation Engineer

Sustainable and resilient pavement infrastructure is critical for current economic and environmental challenges.In the past 10 years,the pavement infrastructure strongly supports the rapid development of the global social economy.New theories,new methods,new technologies and new materials related to pavement engineering are emerging.Deterioration of pavement infrastructure is a typical multi-physics problem.Because of actual coupled behaviors of traffic and environmental conditions,predictions of pavement service life become more and more complicated and require a deep knowledge of pavement material analysis.In order to summarize the current and determine the future research of pavement engineering,Journal of Traffic and Transportation Engineering(English Edition)has launched a review paper on the topic of"New innovations in pavement materials and engineering:A review on pavement engineering research 2021".Based on the joint-effort of 43 scholars from 24 well-known universities in highway engineering,this review paper systematically analyzes the research status and future development direction of 5 major fields of pavement engineering in the world.The content includes asphalt binder performance and modeling,mixture performance and modeling of pavement materials,multi-scale mechanics,green and sustainable pavement,and intelligent pavement.Overall,this review paper is able to provide references and insights for researchers and engineers in the field of pavement engineering.

关键词： Asphalt binder Asphalt mixture Modeling of pavement materials Multi-scale mechanics Green and sustainable pavement Intelligent pavement

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沥青净味剂对不同沥青及沥青混合料性能影响的对比评价分析

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北京建筑大学学报 2022年第4期38卷 16-23页

作者：徐世法房聪刘钟达徐欣韩秉烨北京建筑大学北京未来城市设计高精尖创新中心北京100044 北京建筑大学北京市城市交通基础设施建设工程技术研究中心北京100044 北京路新沥青混凝土有限公司北京102209 北京建筑大学土木与交通工程学院北京100044

沥青净味剂能够有效降解沥青在加热过程中产生的有害气体,但其对沥青及沥青混合料性能的影响有待进一步评价。为此,选用自制净味剂及4种常用沥青(70#沥青、SBS改性沥青、橡胶沥青和橡胶SBS复合改性沥青)进行了性能影响的对比评价。首先... 详细信息

沥青净味剂能够有效降解沥青在加热过程中产生的有害气体,但其对沥青及沥青混合料性能的影响有待进一步评价。为此,选用自制净味剂及4种常用沥青(70#沥青、SBS改性沥青、橡胶沥青和橡胶SBS复合改性沥青)进行了性能影响的对比评价。首先,采用不同掺量的净味剂制备净味沥青,并对净味沥青进行性能测试和红外光谱试验,对比分析净味剂掺量对沥青针入度、软化点、延度和官能团的影响;然后,采用AC-13级配制备4种净味沥青混合料,并测试了其高温、低温、水损害及抗紫外老化耐久性的影响。结果表明:随着净味剂掺量的增加,净味沥青及混合料的各项性能变化逐渐增大,其中在净味剂掺量相同的情况下,对不同沥青及混合料性能的影响存在差异;总体而言,净味剂对沥青及混合料性能的影响较小,且掺加净味剂后,沥青及混合料仍能够满足原技术指标要求。

关键词：沥青混合料沥青净味剂性能对比评价红外光谱

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运煤公路黄土路基不均匀永久变形特性

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重庆交通大学学报（自然科学版） 2015年第6期34卷 63-67页

作者：黄琴龙杨传景韩秉烨张翛同济大学道路与交通工程教育部重点实验室上海201804 山西省交通科学研究院山西太原030006

通过室内重复加载三轴试验,测试了24种工况条件下黄土路基永久变形与加载次数之间的关系;采用统计回归的方法对现有路基永久变形预估模型进行参数修正与标定;采用分层分条总和法计算了不同行车荷载及交通条件下的路基永久变形,得到了路... 详细信息

通过室内重复加载三轴试验,测试了24种工况条件下黄土路基永久变形与加载次数之间的关系;采用统计回归的方法对现有路基永久变形预估模型进行参数修正与标定;采用分层分条总和法计算了不同行车荷载及交通条件下的路基永久变形,得到了路基顶面累积竖向永久变形沿道路横向的分布曲线。结果表明:与普通道路相比,运煤公路轻、重车辆分车道行驶引起的路基顶面竖向累积永久变形曲线在道路横断面上的分布形态呈"勺子"形,曲线曲率更大,差异变形更加显著。

关键词：道路工程黄土路基永久变形空间状态分布特性

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数字经济促进经济双循环发展的机理和路径

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青海社会科学 2020年第6期 41-46,60页

作者：韩彩珍张冰晔中国人民大学国际关系学院中国人民大学国家发展与战略研究院

加快形成以国内大循环为主体、国内国际双循环相互促进的新发展格局,为我国应对国内外经济形势、促进经济长远更高质量发展进一步明确了方向。数字经济成为推动我国经济双循环发展格局的重要抓手。数字经济促进内外需市场数量和质量的提... 详细信息

加快形成以国内大循环为主体、国内国际双循环相互促进的新发展格局,为我国应对国内外经济形势、促进经济长远更高质量发展进一步明确了方向。数字经济成为推动我国经济双循环发展格局的重要抓手。数字经济促进内外需市场数量和质量的提升,助推以内循环为主的国内国际双循环发展。因此,应继续进一步加大信息基础设施建设,大力发展专业化与高端化的生产性服务业,积极促进电商发展,大力发展跨境电商以连接内外循环。

关键词：数字经济双循环机理路径

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