Special Issue on Subgrade Engineering: Intelligent Construction and Maintenance
特刊简介
To achieve the national strategic goals and missions of "transportation power" and "new infrastructure", there is an urgent research need to address the intelligent construction of transportation infrastructure. "Roadbed intelligent construction and maintenance technology" aims to solve the problems of roadbed intelligent construction and maintenance in railway, highway and airport infrastructures. For example, it is difficult to identify roadbed disease accurately in the early stage. Subgrade performance monitoring and disease treatment approaches are limited. Multi-sourced data are difficult to merge for making decisions of maintenance.
On the basis of digitalization, to comprehensively improve the intelligence, green, toughness and long-life quality of infrastructure, and to enhance the construction quality and service level of intelligent transportation infrastructure, it is necessary for the research and development, application and promotion of all kinds of new technologies, new materials, new processes and new methods. On the basis of clear development objectives and development paradigm, all industries should adhere to the goal-oriented and problem-oriented, focus on engineering problems, promote independent innovation, so as to facilitate the industry progress and development of intelligent transportation infrastructure.
In order to timely synthesize the latest achievements of domestic scientific research and engineering application in the field of intelligent subgrade engineering construction and maintenance technology, lead the direction of intelligent transportation infrastructure construction and maintenance, and promote the development and innovation of "data + intelligence" type of new materials, new structures and new processes, the editorial department of the Journal "Intelligent Transportation Infrastructure" decided to organize the publication of a special issue of "Subgrade Engineering • Intelligent Construction and Maintenance".
特刊主题
We welcome manuscripts that apply smart and emerging techniques to enhance intelligent construction and maintenance of subgrade engineering. The topics include, but are not limited to, the following:
Construction technology of digital twin system for road infrastructure
Multiple perception, intelligent recognition and evaluation of service state of subgrade in service
Subgrade service performance intelligent simulation and digital software development
Development of negative carbon emission materials for subgrade damage repair
Technology and equipment for intelligent identification and treatment of subgrade disease
特刊编辑
Prof. Junhui Zhang
E-Mail: zjhseu@163.com
Associate Editor
School of Traffic and Transportation Engineering, Changsha University of Science & Technology, China
Interests: Differential settlement control of widening subgrade; Perpetual subgrade structural design; Recycling of construction and demolition wastes.
Associate Prof. Yu Qian
Email: yuqian@sc.edu
Guest Editor
Civil and Environmental Engineering, College of Engineering and Computing, University of South Carolina, USA
Interests: Geosynthetic-reinforced pavement structure; Discrete element simulation; Heavy haul and transit track structures.
Prof. Fan Gu
Email: fan.gu@csust.edu.cn
Guest Editor
School of Traffic and Transportation Engineering, Changsha University of Science & Technology, China
Interests: Sustainable pavement construction methods; Mechanistic-empirical design of pavement structure; Geosynthetic-reinforced unsaturated soil.
投稿说明
提交截止日期：2023年8月31日
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关键词
Road infrastructure
Digital twin system
Artificial intelligence
Machine learning
Big data modeling and analysis
Subgrade in service
Multi-sensor data/information fusion
Intelligent identification and treatment
Digital software development
Negative carbon emission materials
Intelligent equipment development
期刊简介
Online ISSN: 2752-9991
Editors-in-Chief:
Ping Wang & Yi-Qing Ni
ITI是由西南交通大学和牛津大学出版社联合创办的英文国际学术期刊。杜彦良院士、郑健龙院士和Richard Bathurst院士任期刊荣誉主编，西南交通大学王平教授和香港理工大学倪一清教授任共同主编。
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