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Predictive maintenance and its applications in civil engineering structures:A review

Journal of Southeast University(English Edition) 2024年第3期40卷 245-256页

作者： Shan Jiazeng Zhang Xi Loong Cheng Ning Liu Yanzhe Hu Xinyue College of Civil engineering Tongji UniversityShanghai 200092China shanghai engineering research center for resilient cities and intelligent disaster mitigation Shanghai 200092China Department of Civil and Environmental engineering the Hong Kong University of Science and TechnologyHong Kong 999077China

Structural health monitoring and performance prediction are crucial for smart disaster mitigation and intelligent management of structures throughout their *** advancements in predictive maintenance strategies within the industrial manufacturing industry have inspired similar innovations in civil engineering,aiming to improve structural performance evaluation,damage diagnosis,and capacity *** review delves into the framework of predictive maintenance and examines various existing solutions,focusing on critical areas such as data acquisition,condition monitoring,damage prognosis,and maintenance *** from real-world applications of predictive maintenance in civil engineering,covering high-rise structures,deep foundation pits,and other infrastructure,are *** challenges of implementing predictive maintenance in civil engineering structures under current technology,such as model interpretability of data-driven methods and standards for predictive maintenance,are *** research prospects within this area are also discussed.

关键词： predictive maintenance civil engineering structural health monitoring machine learning

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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 *** the past 10 years,the pavement infrastructure strongly supports the rapid development of the global social *** theories,new methods,new technologies and new materials related to pavement engineering are *** of pavement infrastructure is a typical multi-physics *** 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 *** 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 *** content includes asphalt binder performance and modeling,mixture performance and modeling of pavement materials,multi-scale mechanics,green and sustainable pavement,and intelligent ***,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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Evaluating the flooding level impacts on urban metro networks and travel demand:behavioral analyses,agent-based simulation,and large-scale case study

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resilient cities and Structures 2022年第3期1卷 12-23页

作者： Bingyu Zhao Yili Tang Chaofeng Wang Shuyang Zhang Kenichi Soga Institute of Transportation Science TU WienViennaAustria Department of Civil and Environmental engineering University of CaliforniaBerkeleyUSA Faculty of engineering and Applied Science University of ReginaSKCanada College of Design Construction and PlanningGainesvilleFloridaUSA School of Transportation and Logistics engineering Wuhan University of TechnologyWuhanChina

With urban residents’increasing reliance on metro systems for commuting and other daily activities,extreme weather events such as heavy rainfall and flooding impacting the metro system services are becoming increasingly of *** for such emergency interruptions require a thorough understanding of the potential outcomes on both the system and individual component ***,due to the complex dynamics,constraints,and interactions of the elements involved(e.g.,disaster,infrastructure,service operation,and travel behavior),there is still no framework that comprehensively evaluates the system performance across different spatiotemporal scales and is flexible enough to handle increasingly detailed travel behavior,transit service,and disaster information *** on an agent-based model(ABM)framework,this study adopts a data-driven ABM simulation approach informed by actual metro operation and travel demand data to investigate the impact of flood-induced station closures on travelers as well as the overall system response.A before-after comparison is conducted where the traveler behaviors in disaster scenarios are obtained from a discrete choice model of alternative stations and routes.A case study of the shanghai Metro is used to demonstrate the ability of the proposed approach in evaluating the impacts of flood-induced station closures on individual traveler behavior under normal operation and a series of water level rise scenarios of up to *** was found that,when the flood-induced station closures only affect a few river-side stations in the city center,the travelers experience only minor disruptions to their trips due to the availability of unaffected stations nearby as a ***,as the water level increases and more stations(mainly in the suburban area)are affected,up to 25%of trips are no longer being fulfilled due to the loss of entrances,exits,or transfer *** system experiences overall less crowdedness in terms of passenger volume and

关键词： Metro flooding Infrastructure resilience Extreme climate events Agent-based simulations

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