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Sensors
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Emerging Technology and Technique in Civil and Construction Engineering
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Emerging Technology and Technique in Civil and Construction Engineering

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

Deadline for manuscript submissions: closed (1 December 2020) | Viewed by 15347

Special Issue Editors

Dr. Jee Woong Park

E-Mail Website
Guest Editor
Department of Civil and Environmental Engineering and Construction, University of Nevada, Las Vegas, NV 89154, USA
Interests: automation; safety; tracking; building information modeling; construction engineering
Dr. Chunhee Cho

E-Mail
Guest Editor
Civil and Environmental Engineering, University of Hawaii at Manoa, Honolulu, HI 96822, USA
Interests: structural health monitoring; data-driven monitoring system; multi-physics simulation; passive wireless sensor design
Special Issues, Collections and Topics in MDPI journals
Dr. Haroon Stephen

E-Mail Website
Guest Editor
Civil and Environmental Engineering and Construction, University of Nevada, Las Vegas, NV 89557, USA
Interests: microwave remote sensing; geographic information systems (GIS); data visualization; land scatterometry and radiometry; remote sensing applications to water resources and hydrologic studies; integration of remote sensing, GIS, and global positioning system for Earth system science research

Special Issue Information

Dear Colleagues,

Recent technological and technical advances have shifted the way civil and construction engineers operate in many aspects. They have provided new ways of collecting data that were previously impossible and new ways to analyze the data and broaden our horizons in seeking solutions to many persistent problems. This Special Issue addresses a wide range of research topics that create innovation using emerging technologies and techniques in civil and construction research and applications.

Relevant topics include but are not limited to:

  • Wireless, vision, laser scanning, and sound technologies for innovative solutions to civil and construction problems
  • Techniques such as artificial intelligence, machine learning, and natural language processing
  • Virtual and augmented reality for automated system analysis and monitoring
  • Development of new algorithms using sensed data
  • Smart city and integrated urban development

The key focus of this issue pertains to the use of sensed data. This Special Issue seeks research articles focusing on sensor applications, software development including the use of existing techniques as well as new algorithm development, and integration of software (techniques) and hardware (sensors) for application in civil and construction problems.

Dr. Jee Woong Park
Dr. Chunhee Cho
Dr. Haroon Stephen
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 (2 papers)

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Research

24 pages, 2357 KiB  
Article
Wearable Sensing Devices: Towards the Development of a Personalized System for Construction Safety and Health Risk Mitigation
by Chukwuma Nnaji, Ibukun Awolusi, JeeWoong Park and Alex Albert
Sensors 2021, 21(3), 682; https://0-doi-org.brum.beds.ac.uk/10.3390/s21030682 - 20 Jan 2021
Cited by 35 | Viewed by 7681
Abstract
Wearable sensing devices (WSDs) are increasingly helping workers stay safe and healthy in several industries. However, workers, especially in the construction industry, have shown some aversion towards the use of WSDs due to their ability to capture specific information that may be considered [...] Read more.
Wearable sensing devices (WSDs) are increasingly helping workers stay safe and healthy in several industries. However, workers, especially in the construction industry, have shown some aversion towards the use of WSDs due to their ability to capture specific information that may be considered personal and private. However, this revered information may provide some critical insight needed by management to plan and optimize worksite safety and support technology adoption in decision making. Therefore, there is a need to develop personalized WSD systems that are mutually beneficial to workers and management to ensure successful WSD integration. The present study aims to contribute to knowledge and practice by filling this critical gap using insight from 330 construction workers with experience using WSDs. The results from this study indicate that all 11 WSD functions identified through this study play a vital role in improving worker safety and health and that approximately two out of three workers are open to sharing the physiological and environmental information captured using these WSDs with their management. However, functions for detecting workers’ proximity to workplace hazards, specifically energized electrical materials, toxic gas, and fire/smoke, were the most critical functions that had mutual value to workers and management. Finally, the present study proposed and evaluated a phased personalized WSD system that should encourage successful WSD integration. Full article
(This article belongs to the Special Issue Emerging Technology and Technique in Civil and Construction Engineering)
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22 pages, 9226 KiB  
Article
Economical Auto Moment Limiter for Preventing Mobile Cargo Crane Overload
by Soo-Hoon Noh, Yong-Seok Lee, Sang-Ho Kim, Jae-Sang Cho, Chang-Soo Han, Seung-Yeol Lee and Dong-Eun Lee
Sensors 2020, 20(21), 6355; https://0-doi-org.brum.beds.ac.uk/10.3390/s20216355 - 07 Nov 2020
Cited by 1 | Viewed by 7047
Abstract
This study presents a computational method called economical auto moment limiter (eAML) that prevents a mobile cargo crane from being overloaded. The eAML detects and controls, in real time, crane overload without using boom stroke sensors and load cells, which are expensive items [...] Read more.
This study presents a computational method called economical auto moment limiter (eAML) that prevents a mobile cargo crane from being overloaded. The eAML detects and controls, in real time, crane overload without using boom stroke sensors and load cells, which are expensive items inevitable to existing AML systems, hence, being competitive in price. It replaces these stroke sensors and load cells that are used for the crane overload measurement with a set of mathematical formula and control logics that calculates the lifting load being handled under crane operation and the maximum lifting load. By calculating iterative them using only a pressure sensor attached under the derrick cylinder and the boom angle sensor, the mathematical model identifies the maximum descendible angle of the boom. The control logic presents the control method for preventing the crane overload by using the descendible angle obtained by the mathematical model. Both the mathematical model and the control logic are validated by rigorous simulation experiments using MATLAB on two case instances each of which eAML is used and not used, while changing the pressures on the derrick cylinder and the boom angle. The effectiveness and validity of the method are confirmed by comparing the outputs obtained by the controlled experiments performed by using a 7.6 ton crane on top of SCS887 and a straight-type maritime heavy-duty crane along with eAML. The effects attributed to the load and the wind speed are quantified to verify the reliability of eAML under the changes in external variables. Full article
(This article belongs to the Special Issue Emerging Technology and Technique in Civil and Construction Engineering)
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