Review of advanced road materials, structures, equipment, and detection technologies
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A2 Katsausartikkeli tieteellisessä aikakauslehdessä
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2023-12
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Language
en
Pages
99
370-468
370-468
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Journal of Road Engineering, Volume 3, issue 4
Abstract
As a vital and integral component of transportation infrastructure, pavement has a direct and tangible impact on socio-economic sustainability. In recent years, an influx of groundbreaking and state-of-the-art materials, structures, equipment, and detection technologies related to road engineering have continually and progressively emerged, reshaping the landscape of pavement systems. There is a pressing and growing need for a timely summarization of the current research status and a clear identification of future research directions in these advanced and evolving technologies. Therefore, Journal of Road Engineering has undertaken the significant initiative of introducing a comprehensive review paper with the overarching theme of “advanced road materials, structures, equipment, and detection technologies”. This extensive and insightful review meticulously gathers and synthesizes research findings from 39 distinguished scholars, all of whom are affiliated with 19 renowned universities or research institutions specializing in the diverse and multidimensional field of highway engineering. It covers the current state and anticipates future development directions in the four major and interconnected domains of road engineering: advanced road materials, advanced road structures and performance evaluation, advanced road construction equipment and technology, and advanced road detection and assessment technologies.Description
Funding Information: Dr. Chengwei Xing is a lecture of Chang'an University. His research areas include bitumen aging and reclamation of recycled bitumen pavement. He is selected into the Young Talent Program of Association for Science and Technology in Shaanxi of China, and serves as the principal investigator for the project of National Natural Science Foundation of China. Funding Information: Dr. Wei Jiang is currently a professor of pavement engineering at the School of Highway, Chang'an University. His research has focused on the theories and methods of green pavement materials and structures, green energy transformation of pavements. Dr. Jiang led over 14 national and provincial projects, including the National Science Fund for Excellent Young Scientists, National Key R&D Program of China, the National Natural Science Foundation of China, the Fok Ying-Tong Education Foundation for Young Teachers in the Higher Education Institutions of China, etc. Funding Information: The authors would like to acknowledge the financial support from the European Union's Horizon 2020 Research and Innovation Program under the Marie Skłodowska-Curie grant agreement No. 101024139, the RILEM technical committee TC 279 WMR (valorisation of waste and secondary materials for roads), RILEM technical committee TC-264 RAP (asphalt pavement recycling), the Swiss National Science Foundation (SNF) grant 205121_178991/1 for the project titled “Urban Mining for Low Noise Urban Roads and Optimized Design of Street Canyons”, National Natural Science Foundation of China (No. 51808462, 51978547, 52005048, 52108394, 52178414, 52208420, 52278448, 52308447, 52378429), China Postdoctoral Science Foundation (No. 2023M730356), National Key R&D Program of China (No. 2021YFB2601302), Natural Science Basic Research Program of Shaanxi (Program No. 2023-JC-QN-0472), Postdoctoral Science Foundation of Anhui Province (2022B627), Shaanxi Provincial Science and Technology Department (No. 2022 PT-30), Key Technological Special Project of Xinxiang City (No. 22ZD013) and Key Laboratory of Intelligent Manufacturing of Construction Machinery (No. IMCM2021KF02), the Applied Basic Research Project of Sichuan Science and Technology Department (Free Exploration Type) (Grant No. 2020YJ0039), Key R&D Support Plan of Chengdu Science and Technology Project-Technology Innovation R&D Project (Grant No. 2019-YF05-00002-SN), and the China Postdoctoral Science Foundation (Grant No. 2018M643520). The authors would also like to acknowledge some post-doctoral researchers, PhD candidates, and post-graduate students, who have helped with the data collection, data analysis, literature review, as well as the writing and revising of this paper. Their names are listed in alphabetical order of their institutions, or in alphabetical order of their last names within the same institution. Beijing University of Technology: Guanyu Gong, Zhengyang Ren; Chang'an University: Yilin Dong, Hao Fu, Pengfei Li, Xianwu Ling, Bokai Liu, Xinyu Yan, Kun Yang, Dongdong Yuan; Changsha University of Science & Technology: Jingguo Ge, Zhiyu Yang; Harbin Institute of Technology: Shuang Liu; Hunan University: Yao Luo; South China University of Technology: Zengyao Lin; Southeast University: Jia Sun; Southwest Jiaotong University: Yuchen Li; Yukun Li, Tongji University: Huiyi Ouyang, Yuhang Si; Wuhan University of Technology: Pei Wan. Funding Information: Dr. Aimin Sha is the professor of highway engineering at the School of Highway, Chang'an University. He is the vice chairman of China Highway & Transportation Society (CHTS). Prof. Sha focuses on road materials, pavement design theory, construction quality control, eco-friendly pavements, sustainable transportation and smart pavements. His researches were supported by NSFC, “973” Program, National Key R&D Program of China, etc. He was awarded by the second prize of the National Scientific and Technological Progress Award in 2009 and 2013, respectively. Funding Information: The authors would like to acknowledge the financial support from the European Union's Horizon 2020 Research and Innovation Program under the Marie Skłodowska-Curie grant agreement No. 101024139, the RILEM technical committee TC 279 WMR (valorisation of waste and secondary materials for roads), RILEM technical committee TC-264 RAP (asphalt pavement recycling), the Swiss National Science Foundation (SNF) grant 205121_178991/1 for the project titled “Urban Mining for Low Noise Urban Roads and Optimized Design of Street Canyons”, National Natural Science Foundation of China (No. 51808462, 51978547, 52005048, 52108394, 52178414, 52208420, 52278448, 52308447, 52378429), China Postdoctoral Science Foundation (No. 2023M730356), National Key R&D Program of China (No. 2021YFB2601302), Natural Science Basic Research Program of Shaanxi (Program No. 2023-JC-QN-0472), Postdoctoral Science Foundation of Anhui Province (2022B627), Shaanxi Provincial Science and Technology Department (No. 2022 PT-30), Key Technological Special Project of Xinxiang City (No. 22ZD013) and Key Laboratory of Intelligent Manufacturing of Construction Machinery (No. IMCM2021KF02), the Applied Basic Research Project of Sichuan Science and Technology Department (Free Exploration Type) (Grant No. 2020YJ0039), Key R&D Support Plan of Chengdu Science and Technology Project-Technology Innovation R&D Project (Grant No. 2019-YF05-00002-SN), and the China Postdoctoral Science Foundation (Grant No. 2018M643520). The authors would also like to acknowledge some post-doctoral researchers, PhD candidates, and post-graduate students, who have helped with the data collection, data analysis, literature review, as well as the writing and revising of this paper. Their names are listed in alphabetical order of their institutions, or in alphabetical order of their last names within the same institution. Beijing University of Technology: Guanyu Gong, Zhengyang Ren; Chang'an University: Yilin Dong, Hao Fu, Pengfei Li, Xianwu Ling, Bokai Liu, Xinyu Yan, Kun Yang, Dongdong Yuan; Changsha University of Science & Technology: Jingguo Ge, Zhiyu Yang; Harbin Institute of Technology: Shuang Liu; Hunan University: Yao Luo; South China University of Technology: Zengyao Lin; Southeast University: Jia Sun; Southwest Jiaotong University: Yuchen Li; Yukun Li, Tongji University: Huiyi Ouyang, Yuhang Si; Wuhan University of Technology: Pei Wan. Publisher Copyright: © 2023 The Authors
Keywords
Advanced road detection technology, Advanced road equipment, Advanced road material, Advanced road structure, Road engineering
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Citation
JRE Editorial Office 2023, ' Review of advanced road materials, structures, equipment, and detection technologies ', Journal of Road Engineering, vol. 3, no. 4, pp. 370-468 . https://doi.org/10.1016/j.jreng.2023.12.001