sensors-logo

Journal Browser

Journal Browser

Advanced Sensing Technologies in Geotechnical Engineering—2nd Edition

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

Deadline for manuscript submissions: 31 December 2024 | Viewed by 1118

Special Issue Editors


E-Mail Website
Guest Editor
Faculty of Civil Engineering, University of Zagreb, 10000 Zagreb, Croatia
Interests: nondestructive testing methods; geotechnical monitoring; numerical modeling in geotechnics; risk assessment; climate change adaptation; energy geostructures
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Faculty of Civil Engineering, University of Zagreb, 10000 Zagreb, Croatia
Interests: soil and rock investigation works; nondestructive testing methods; geophysical methods; geotechnical monitoring; remote sensing; soil and rock mechanics; shallow geothermal energy
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Faculty of Civil Engineering and Geosciences, TU Delft, 2628 CN Delft, The Netherlands
Interests: offshore foundations; the effect of climate change on critical infrastructure; soil-structure interaction; risk in geotechnical engineering

E-Mail Website
Guest Editor
Geotechnical Department, School of Civil Engineering, National Technical University of Athens (NTUA), 157 80 Athens, Greece‎
Interests: tunnelling; rockfall analysis; geohazards correlated to natural gas pipelines; dam foundation; rock mass structural analysis; landslide hazard and stability analysis and monitoring
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
1. Department of Robotics and Mechatronics, AGH University of Science and Technology, 30-059 Kraków, Poland
2. Professor Emeritus, Department of Engineering Sciences, Uppsala University, 752 36 Uppsala, Sweden
Interests: ultrasound techniques; nondestructive evaluation; structural health monitoring; electromagnetic techniques
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The first edition of the ‘Advanced Sensing Technologies in Geotechnical Engineering’ Special Issue gained large success, with many papers published, dealing with various aspects of geotechnical monitoring. Owing to the success of the first volume, we have edited this second one, which aims to collect and present latest innovative research on in situ and remote sensing technologies in the fields of geotechnical engineering, geology, hydrogeology, environmental engineering, and geodesy, which enhance the knowledge and understanding of soil and rock behaviour during and after construction works or geo-hazards. In addition, omnipresent climate changes significantly influence the behaviour of soil, rock, and geotechnical structures, where the prediction of their response should be based on the monitoring data.

However, predicting the behaviour of soil, rock, and geotechnical structures is very complex and burdened with numerous uncertainties. To enhance the insight into such behaviour, whether through the conduction of investigation work, verification of design solutions, or quality control works, numerous in situ and remote sensing methods are available for scientists and practitioners. Useful information can be obtained through the installation of the monitoring equipment, where changes in measurement results (displacement, deformation, strain, stress, pore pressures, etc.) may point to a limit state exceedance mechanism. Significant development in this field is evident in the last few decades, with the monitoring methods taking advantage of modern sensor types such as piezoelectric sensors, optic fibres, etc. Additionally, the development of innovative geodetic sensing techniques has significantly boosted monitoring activities, where highly accurate remote measurements can be used to determine the extent of deformation / displacement of soil and rock in greater areas. Modern signal processing tools, as well as other advanced computing systems such as neural networks, further open doors to the continuous development of sensor-based instrumentation.

Papers focusing on theoretical and experimental aspects of terrestrial and aerial sensing, including instrumentation, data acquisition, data analysis, processing, and interpretation are highly encouraged, especially those involving field case study implementations and validations. The overall aim of this Special Issue of Sensors is to provide new insights, advances, and approaches in the application of original and innovative sensing technologies in field of geotechnical engineering and other related geo-sciences.

Dr. Mario Bačić
Prof. Dr. Meho-Saša Kovačević
Prof. Dr. Kenneth Gavin
Dr. Vassilis Marinos
Prof. Dr. Tadeusz Stepinski
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.

Keywords

  • geotechnical monitoring
  • in situ monitoring of soil and rock
  • remote sensing of soil and rock
  • sensor-based instrumentation
  • monitoring data analysis
  • signal processing

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

17 pages, 7474 KiB  
Article
Normalizing Large Scale Sensor-Based MWD Data: An Automated Method toward A Unified Database
by Abbas Abbaszadeh Shahri, Chunling Shan, Stefan Larsson and Fredrik Johansson
Sensors 2024, 24(4), 1209; https://0-doi-org.brum.beds.ac.uk/10.3390/s24041209 - 14 Feb 2024
Cited by 2 | Viewed by 750
Abstract
In the context of geo-infrastructures and specifically tunneling projects, analyzing the large-scale sensor-based measurement-while-drilling (MWD) data plays a pivotal role in assessing rock engineering conditions. However, handling the big MWD data due to multiform stacking is a time-consuming and challenging task. Extracting valuable [...] Read more.
In the context of geo-infrastructures and specifically tunneling projects, analyzing the large-scale sensor-based measurement-while-drilling (MWD) data plays a pivotal role in assessing rock engineering conditions. However, handling the big MWD data due to multiform stacking is a time-consuming and challenging task. Extracting valuable insights and improving the accuracy of geoengineering interpretations from MWD data necessitates a combination of domain expertise and data science skills in an iterative process. To address these challenges and efficiently normalize and filter out noisy data, an automated processing approach integrating the stepwise technique, mode, and percentile gate bands for both single and peer group-based holes was developed. Subsequently, the mathematical concept of a novel normalizing index for classifying such big datasets was also presented. The visualized results from different geo-infrastructure datasets in Sweden indicated that outliers and noisy data can more efficiently be eliminated using single hole-based normalizing. Additionally, a relational unified PostgreSQL database was created to store and automatically transfer the processed and raw MWD as well as real time grouting data that offers a cost effective and efficient data extraction tool. The generated database is expected to facilitate in-depth investigations and enable application of the artificial intelligence (AI) techniques to predict rock quality conditions and design appropriate support systems based on MWD data. Full article
Show Figures

Figure 1

Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Planned Paper 1

Title: Comparison of UAV and Terrestrial Scanning Methods for Development of Digital Twin Models of Geotechnical Structures Along Transportation Network

Authors: Marijan Car, Meho Saša Kovačević, Mario Bačić, Danijela Jurić Kaćunić

Back to TopTop