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Innovative Materials and Technologies for Smart Cities
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Innovative Materials and Technologies for Smart Cities

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Construction and Building Materials".

Deadline for manuscript submissions: closed (20 September 2022) | Viewed by 6321

Special Issue Editors

Dr. Sung-Hwan Jang

E-Mail Website
Guest Editor
Civil & Environmental Engineering, Hanyang University ERICA, Ansan 15588, Gyeonggi-do, Korea
Interests: sustainable construction materials; multifunctional materials for sustainable infrastructure; conductive composite materials for smart cities
Special Issues, Collections and Topics in MDPI journals
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

Special Issue Information

Dear Colleagues,

Smart cities have prompted the development of a range of new materials and technologies that can be applied to solve infrastructure problems associated with ageing infrastructure and increasing demands. Many efforts by both academy and industry have been devoted to developing new technologies. The constant advancement in materials and technologies for smart cities have encouraged us to propose the Special Issue “Innovative Materials and Technologies for Smart Cities” to present state-of-art materials and technologies including manufacturing processes, characterization, modeling, and applications. Therefore, we invite you to submit the results of your studies to this Special Issue, which is focused mainly, but not exclusively, on the following keywords below:

  • Nanomaterials
  • Carbon-based materials (carbon nanotubes, graphene)
  • Green chemistry
  • Characterization of mechanical/thermal/electrical properties
  • Concrete
  • Composites
  • Self-sensing application
  • Self-heating application
  • Deep learning
  • Scaffolding structures
  • Structural health monitoring
  • Damage detection
  • Passive sensing
  • Model updating

Prof. Sung-Hwan Jang
Prof. Chunhee Cho
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. Materials 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

  • Nanomaterials
  • Carbon-based materials (carbon nanotubes, graphene)
  • Green chemistry
  • Characterization of mechanical/thermal/electrical properties
  • Concrete
  • Composites
  • Self-sensing application
  • Self-heating application
  • Deep learning
  • Scaffolding structures
  • Structural health monitoring
  • Damage detection
  • Passive sensing
  • Model updating

Published Papers (2 papers)

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21 pages, 5585 KiB  
Article
Deep-Learning-Based Segmentation of Fresh or Young Concrete Sections from Images of Construction Sites
by Woldeamanuel Minwuye Mesfin, Soojin Cho, Jeongmin Lee, Hyeong-Ki Kim and Taehoon Kim
Materials 2021, 14(21), 6311; https://doi.org/10.3390/ma14216311 - 22 Oct 2021
Cited by 5 | Viewed by 1854
Abstract
The objective of this study is to evaluate the feasibility of deep-learning-based segmentation of the area covered by fresh and young concrete in the images of construction sites. The RGB images of construction sites under various actual situations were used as an input [...] Read more.
The objective of this study is to evaluate the feasibility of deep-learning-based segmentation of the area covered by fresh and young concrete in the images of construction sites. The RGB images of construction sites under various actual situations were used as an input into several types of convolutional neural network (CNN)–based segmentation models, which were trained using training image sets. Various ranges of threshold values were applied for the classification, and their accuracy and recall capacity were quantified. The trained models could segment the concrete area overall although they were not able to judge the difference between concrete of different ages as professionals can. By increasing the threshold values for the softmax classifier, the cases of incorrect prediction as concrete became almost zero, while some areas of concrete became segmented as not concrete. Full article
(This article belongs to the Special Issue Innovative Materials and Technologies for Smart Cities)
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Review

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50 pages, 13893 KiB  
Review
Glass Fiber Reinforced Concrete as a Durable and Enhanced Material for Structural and Architectural Elements in Smart City—A Review
by Julia Blazy, Rafał Blazy and Łukasz Drobiec
Materials 2022, 15(8), 2754; https://doi.org/10.3390/ma15082754 - 8 Apr 2022
Cited by 15 | Viewed by 3631
Abstract
The article highlights that glass fiber reinforced concretes (GFRC) can meet the requirements of Smart City better than ordinary concretes. The comprehensive discussion on GFRC composition is presented together with the review of glass fibers’ influence on various concrete properties. First of all, [...] Read more.
The article highlights that glass fiber reinforced concretes (GFRC) can meet the requirements of Smart City better than ordinary concretes. The comprehensive discussion on GFRC composition is presented together with the review of glass fibers’ influence on various concrete properties. First of all, because of their bridging abilities, they can limit the width, length, and total area of cracks. Additionally, GFRC are characterized by enhanced tensile, flexural, and splitting strength; impact, abrasion, spalling, fire, and freeze-thaw resistance as well as ductility, toughness, and permeability. All of this positively influences the mechanical behavior, durability, and corrosion resistance of concrete elements. Moreover, decreased thermal conductivity allows for better energy performance from the building’s point of view. This results in cheaper structures both in manufacturing and maintaining even though GFRC are more expensive materials. However, mechanical properties enhance as long as sufficient workability and uniform fiber distribution are assured. From the environmental point of view, GFRC are eco-friendlier materials than ordinary concretes since their application can decrease the emission of CO2 by 17%. The article also describes the GFRC application fields and emphasizes the possibility of the creation of not only structural elements mainly intended for load transferring but also elements accompanying the building process, as well as elements of small architecture that make public spaces more attractive, durable, and safer. Owing to greater design and shaping freedom, GFRC can also better fulfill the needs of habitants of Smart City. Full article
(This article belongs to the Special Issue Innovative Materials and Technologies for Smart Cities)
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