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Recent Development and Applications of Sensing Technology in Resilient and Sustainable Infrastructure

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

Deadline for manuscript submissions: 20 December 2024 | Viewed by 467

Special Issue Editors


E-Mail Website1 Website2
Guest Editor
1. Department of Mechanical Engineering, California Polytechnic State University, San Luis Obispo, CA 93405, USA
2. School of Civil Engineering, University of Leeds, Leeds LS2 9JT, UK
Interests: AI-based methods for structural health monitoring and dynamic response; random vibrations; hysteretic systems; seismic isolation; reliability and resilience
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Civil Engineering, Southeast University, Nanjing 211189, China
Interests: lifeline infrastructure; advanced sensing technology; advanced construction techniques; structural performance, reliability and resilience; machine learning application

Special Issue Information

Dear Colleagues,

Infrastructure, including buildings, roads, bridges, tunnels, water supply, sewers, electrical grids, and telecommunications, serves as the most essential component to enable, sustain, and enhance modern societal living conditions and economic development. The use of advanced sensing technologies to contribute to improving infrastructure resilience and sustainability capacities has become a recurring hot theme in government, industrial, and academic discussions. Recently, accidents due to, for example, natural hazards and/or human errors have occurred worldwide from time to time. To improve the resilience and sustainability of various kinds of infrastructures, the demand of using innovative sensing technologies to inspect and monitor infrastructural physical conditions to warrant infrastructure to withstand or efficiently recover from multihazard disruptive events keeps growing.

To foster knowledge conversation and explore the recent development and applications of sensing technology in resilient and sustainable infrastructure, we initiate this Special Issue to invite researchers and experts in related fields to contribute their insights, ideas, and experimental, theoretical, and computational findings within, but not limited to, the following topics:

  • Structural health monitoring;
  • Acoustic and ultrasonic sensing;
  • Fiber optic sensing technique;
  • Infrared detection technique;
  • Computer vision-based technique and methods;
  • Electromagnetic and magnetism-based sensing technology;
  • Nondestructive testing;
  • Laboratory testing method;
  • IoT and remote sensing;
  • Sensor placement and optimization;
  • Environmental effect detection;
  • Damage and event detection and identification;
  • Structural performance assessment;
  • Data quality and data mining;
  • Artificial intelligence and machine learning;
  • Lifecycle management and carbon emission analysis;
  • Application and case studies.

Prof. Dr. Mohammad Noori
Dr. Yihua Zeng
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

  • advanced sensing technologies
  • resilient and sustainable infrastructure
  • structural health monitoring

Published Papers (1 paper)

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Research

13 pages, 2749 KiB  
Article
A Laboratory-Scale Evaluation of Smart Pebble Sensors Embedded in Geomaterials
by Syed Faizan Husain, Mohammad Shoaib Abbas, Han Wang, Issam I. A. Qamhia, Erol Tutumluer, John Wallace and Matthew Hammond
Sensors 2024, 24(9), 2733; https://doi.org/10.3390/s24092733 - 25 Apr 2024
Viewed by 184
Abstract
This paper introduces a novel approach to measure deformations in geomaterials using the recently developed ‘Smart Pebble’ sensors. Smart Pebbles were included in triaxial test specimens of unbound aggregates stabilized with geogrids. The sensors are equipped with an aggregate particle/position tracking algorithm that [...] Read more.
This paper introduces a novel approach to measure deformations in geomaterials using the recently developed ‘Smart Pebble’ sensors. Smart Pebbles were included in triaxial test specimens of unbound aggregates stabilized with geogrids. The sensors are equipped with an aggregate particle/position tracking algorithm that can manage uncertainty arising due to signal noise and random walk effects. Two Smart Pebbles were placed in each test specimen, one at specimen’s mid-height, where a geogrid was installed in the mechanically stabilized specimen, and one towards the top of the specimen. Even with simple raw data processing, the trends on linear vertical acceleration indicated the ability of Smart Pebbles to assess the geomaterial configuration and applied stress states. Employing a Kalman filter-based algorithm, the Smart Pebble position coordinates were tracked during testing. The specimen’s resilient deformations were simultaneously recorded. bender element shear wave transducer pairs were also installed on the specimens to further validate the Smart Pebble small-strain responses. The results indicate a close agreement between the BE sensors and Smart Pebbles estimates towards local stiffness enhancement quantification in the geogrid specimen. The study findings confirm the viability of using the Smart Pebbles in describing the resilient behavior of an aggregate material under repeated loading. Full article
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