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Smart Sensors and Data Analytics for Geotechnical Monitoring

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".

Deadline for manuscript submissions: closed (30 January 2024) | Viewed by 3107

Special Issue Editors


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Guest Editor
College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, China
Interests: geotechnical monitoring; development of innovative sensing technologies

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Guest Editor
Department of Civil Engineering, Indian Institute of Technology Indore, Simrol, Indore 452020, India
Interests: unsaturated soil mechanics; fiber optic sensors in geotechnical engineering & geotechnical health monitoring; soil-structure interface; ground improvement technics

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Guest Editor
Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China
Interests: geohazards management; intelligent monitoring of geotechnical structures; development of smart city infrastructure; ground improvement technologies
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, China
Interests: geotechnical simulation; sensor development; data analytics

Special Issue Information

Dear Colleagues,

Underground monitoring and the related field of data analytics are emerging research areas that stand at the intersection of several disciplines, such as theoretical methods, Internet-of-Things-based sensors, big data, and artificial intelligence. As geotechnical monitoring is so challenging and related data are consistently explosive, smart analytics methods are required to fully exploit data and information obtained from monitoring studies. This Special Issue aims to bring together researchers, academicians, and sector employees from different fields and disciplines to exchange information on research, ideas, and findings concerning monitoring technologies and data analytics in geotechnics. Topics of interest include, but are not limited to, the following:

  1. Geotechnical investigation using smart sensing technologies;
  2. Smart sensors for underground monitoring;
  3. Testing instruments in underground space;
  4. Underground communication systems;
  5. AI-based data analytics in geotechnics.

Dr. Chengyu Hong
Dr. Lalit Borana
Dr. Daoyuan Tan
Dr. Weibin Chen
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are 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.

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. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 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.

Published Papers (1 paper)

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Research

17 pages, 6102 KiB  
Article
An Integrated Intelligent Approach for Monitoring and Management of a Deep Foundation Pit in a Subway Station
by Chengyu Hong, Jinyang Zhang and Weibin Chen
Sensors 2022, 22(22), 8737; https://doi.org/10.3390/s22228737 - 11 Nov 2022
Cited by 7 | Viewed by 2431
Abstract
As the scale of foundation pit projects of subway stations in Shenzhen becomes larger, and the construction constraints become more and more complex, there is an urgent need for intelligent monitoring and safety management of foundation pits. In this study, an integrated intelligent [...] Read more.
As the scale of foundation pit projects of subway stations in Shenzhen becomes larger, and the construction constraints become more and more complex, there is an urgent need for intelligent monitoring and safety management of foundation pits. In this study, an integrated intelligent approach for monitoring and management of a deep foundation pit in a subway station was proposed and a case study based on the Waterlands Resort East Station Project of Shenzhen Metro Line 12 was used for validation. The present study first proposed the path of intelligent foundation pit engineering. Based on geotechnical survey and building information modeling, a three-dimensional transparent geological model of foundation pit was constructed. Multi-source sensing technologies were integrated, including micro electromechanical system sensing technology, Brillouin optical frequency domain analysis sensing technology, an unmanned aerial vehicle and machine vision for real-time high-precision wireless monitoring of the foundation pit. Moreover, machine learning models were developed for predicting key parameters of foundation pits. Finally, a digital twin integrated platform was developed for the management of the subway foundation pit in both construction and maintenance phases. This typical case study is expected to improve the construction, maintenance and management level of foundation pits in subway stations. Full article
(This article belongs to the Special Issue Smart Sensors and Data Analytics for Geotechnical Monitoring)
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