Special Issue Railway Earthwork Maintenance and Design: Advanced Structures and Technologies

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section Mechanical Engineering. Deadline for manuscript submissions: 28 February 2022.

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發(fā)布時(shí)間：2021-08-11

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A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section Mechanical Engineering. Deadline for manuscript submissions: 28 February 2022.H5，H5頁(yè)面制作工具

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".Deadline for manuscript submissions: 28 February 2022.
Special Issue
Railway Earthwork
Maintenance and
Design: Advanced
Structures and
Technologies

Interests: dynamics characteristics of pile foundation
E-Mail: liujunwei@qut.edu.cn
School of Civil Engineering, Qingdao
University of Technology, Qingdao
266033, China
Website
Dr. Junwei Liu
Interests: soil dynamics; foundation treatment; slope
engineering; slurry dewatering; data assimilation;
CFD-DEM simulations; consolidation theory
E-Mail: sunhonglei@zju.edu.cn
College of Civil Engineering, Zhejiang
University of Technology, Hangzhou
310058, China
Website
Dr. Honglei Sun
Interests: soil dynamics; railway engineering; ground
improvement; machine learning; uncertain quantification
Geotechnical Engineering, School of
Engineering, University of Warwick,
Coventry CV4 7AL, UK
E-Mail: xueyu.geng@warwick.ac.uk
Website
Dr. Xueyu Geng
- Special Issue Editors -

Dr. Xueyu Geng
Dr. Honglei Sun
Dr. Junwei Liu
Guest Editors
Dear Colleagues,

The performance of railway systems largely depends on railway infrastructure earthwork conditions. Many of earthworks alongside the railway were built more than 100 years ago and were poorly engineered by modern standards. Moreover, with the increasingly frequent severe weather conditions due to climate change and the increasing demands for the mobility and transportation of goods, maintaining a high level of safety performance for our aging railway systems remains a constant challenge. However, with the development of modern technologies, e.g., Earth Observation, Artificial Intelligence, and advanced sensor development, we can modernise and upgrade our existing railway system not only to ensure a safe running of the train, but also to achieve an even more reliable and more efficient railway performance. This Special Issue aims to collect the newest technology related to the maintenance of the existing railway earthwork and the design for the future.
- Special Issue Information -

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Manuscript Submission
Information

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Manuscript Submission
Information

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Manuscript Submission
Information

This special issue is now open for submission.
- Published Papers -
◇ big data
◇ AI
◇ uncertain quantification
◇ low CO2 emission
◇ earthwork
◇ stability
◇ climate change
- Keywords -