No Cover Image

Journal article 634 views

Intelligent analysis of subbase strain based on a long-term comprehensive monitoring

Yue Hou, Shibo Zhao, Zhongjun Xue, Shuo Liu, Bo Song, Dawei Wang, Pengfei Liu, Markus Oeser, Linbing Wang

Transportation Geotechnics, Volume: 33, Start page: 100720

Swansea University Author: Yue Hou

Full text not available from this repository: check for access using links below.

Check full text

DOI (Published version): 10.1016/j.trgeo.2022.100720

Published in: Transportation Geotechnics
ISSN: 2214-3912
Published: Elsevier BV 2022
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa61798
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2022-11-28T15:53:27Z
last_indexed 2023-01-13T19:22:48Z
id cronfa61798
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2022-11-28T15:53:34.1858011</datestamp><bib-version>v2</bib-version><id>61798</id><entry>2022-11-07</entry><title>Intelligent analysis of subbase strain based on a long-term comprehensive monitoring</title><swanseaauthors><author><sid>92bf566c65343cb3ee04ad963eacf31b</sid><firstname>Yue</firstname><surname>Hou</surname><name>Yue Hou</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2022-11-07</date><deptcode>CIVL</deptcode><abstract/><type>Journal Article</type><journal>Transportation Geotechnics</journal><volume>33</volume><journalNumber/><paginationStart>100720</paginationStart><paginationEnd/><publisher>Elsevier BV</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>2214-3912</issnPrint><issnElectronic/><keywords>Resilience; Transportation infrastructure foundation; Intelligent analysis; Road subbase strain; Comprehensive monitoring system</keywords><publishedDay>1</publishedDay><publishedMonth>3</publishedMonth><publishedYear>2022</publishedYear><publishedDate>2022-03-01</publishedDate><doi>10.1016/j.trgeo.2022.100720</doi><url/><notes/><college>COLLEGE NANME</college><department>Civil Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>CIVL</DepartmentCode><institution>Swansea University</institution><apcterm/><funders>This work was supported by the International Research Cooperation Seed Fund of Beijing University of Technology (No. 2021A05), Talent Promotion Program by Beijing Association for Science and Technology, the Construction of Service Capability of Scientific and Technological Innovation-Municipal Level of Fundamental Research Funds (Scientific Research Categories) of Beijing City, and Fundamental Research Funds from BJUT.</funders><projectreference/><lastEdited>2022-11-28T15:53:34.1858011</lastEdited><Created>2022-11-07T19:23:26.5328236</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering</level></path><authors><author><firstname>Yue</firstname><surname>Hou</surname><order>1</order></author><author><firstname>Shibo</firstname><surname>Zhao</surname><order>2</order></author><author><firstname>Zhongjun</firstname><surname>Xue</surname><order>3</order></author><author><firstname>Shuo</firstname><surname>Liu</surname><order>4</order></author><author><firstname>Bo</firstname><surname>Song</surname><order>5</order></author><author><firstname>Dawei</firstname><surname>Wang</surname><order>6</order></author><author><firstname>Pengfei</firstname><surname>Liu</surname><order>7</order></author><author><firstname>Markus</firstname><surname>Oeser</surname><order>8</order></author><author><firstname>Linbing</firstname><surname>Wang</surname><order>9</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling 2022-11-28T15:53:34.1858011 v2 61798 2022-11-07 Intelligent analysis of subbase strain based on a long-term comprehensive monitoring 92bf566c65343cb3ee04ad963eacf31b Yue Hou Yue Hou true false 2022-11-07 CIVL Journal Article Transportation Geotechnics 33 100720 Elsevier BV 2214-3912 Resilience; Transportation infrastructure foundation; Intelligent analysis; Road subbase strain; Comprehensive monitoring system 1 3 2022 2022-03-01 10.1016/j.trgeo.2022.100720 COLLEGE NANME Civil Engineering COLLEGE CODE CIVL Swansea University This work was supported by the International Research Cooperation Seed Fund of Beijing University of Technology (No. 2021A05), Talent Promotion Program by Beijing Association for Science and Technology, the Construction of Service Capability of Scientific and Technological Innovation-Municipal Level of Fundamental Research Funds (Scientific Research Categories) of Beijing City, and Fundamental Research Funds from BJUT. 2022-11-28T15:53:34.1858011 2022-11-07T19:23:26.5328236 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering Yue Hou 1 Shibo Zhao 2 Zhongjun Xue 3 Shuo Liu 4 Bo Song 5 Dawei Wang 6 Pengfei Liu 7 Markus Oeser 8 Linbing Wang 9
title Intelligent analysis of subbase strain based on a long-term comprehensive monitoring
spellingShingle Intelligent analysis of subbase strain based on a long-term comprehensive monitoring
Yue Hou
title_short Intelligent analysis of subbase strain based on a long-term comprehensive monitoring
title_full Intelligent analysis of subbase strain based on a long-term comprehensive monitoring
title_fullStr Intelligent analysis of subbase strain based on a long-term comprehensive monitoring
title_full_unstemmed Intelligent analysis of subbase strain based on a long-term comprehensive monitoring
title_sort Intelligent analysis of subbase strain based on a long-term comprehensive monitoring
author_id_str_mv 92bf566c65343cb3ee04ad963eacf31b
author_id_fullname_str_mv 92bf566c65343cb3ee04ad963eacf31b_***_Yue Hou
author Yue Hou
author2 Yue Hou
Shibo Zhao
Zhongjun Xue
Shuo Liu
Bo Song
Dawei Wang
Pengfei Liu
Markus Oeser
Linbing Wang
format Journal article
container_title Transportation Geotechnics
container_volume 33
container_start_page 100720
publishDate 2022
institution Swansea University
issn 2214-3912
doi_str_mv 10.1016/j.trgeo.2022.100720
publisher Elsevier BV
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering
document_store_str 0
active_str 0
published_date 2022-03-01T04:20:54Z
_version_ 1763754381583319040
score 11.037581

Similar Items